birdcage/docs/A3981-vectors/A3981-datasheet_page_15.svg
Ryan Malloy 5252d1d73c Add hardware reference docs (A3981, K60, RYS352A)
Allegro A3981 stepper motor driver: datasheet, KiCad symbols/footprint,
3D model (TSSOP-28). Two per G2 board, SPI-controlled, AUTO microstep.

NXP MK60DN512VLQ10 (Kinetis K60): datasheet and 1300-page reference
manual. Cortex-M4 96MHz MCU running the G2 firmware.

Reyax RYS352A GPS module: datasheet and PAIR command guide.
GPS receiver on the G2 board (used for auto-location/satellite lookup).

All extracted as markdown + page images + vector SVGs for LLM context.
Binary assets (PDFs, PNGs, SVGs, STEP, WRL) stored via git-lfs.
2026-02-14 18:36:42 -07:00

2356 lines
173 KiB (Stored with Git LFS)
XML

<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape" version="1.1" width="612" height="792" viewBox="0 0 612 792">
<defs>
<clipPath id="clip_1">
<path transform="matrix(1,0,0,-1,0,792)" d="M0 0H612V792H0Z"/>
</clipPath>
<clipPath id="clip_2">
<path transform="matrix(1,0,0,-1,0,792)" d="M0 0H612V792H0Z"/>
</clipPath>
<clipPath id="clip_3">
<path transform="matrix(1,0,0,-1,0,792)" d="M246.535 44.136H366.344V13.592001H246.535Z"/>
</clipPath>
<clipPath id="clip_5">
<path transform="matrix(1,0,0,-1,0,792)" d="M162.182 170.982H443.16203V408.461H162.182Z"/>
</clipPath>
</defs>
<g clip-path="url(#clip_1)">
<path transform="matrix(1,0,0,-1,36.4416,735.5)" stroke-width="1" stroke-linecap="butt" stroke-miterlimit="4" stroke-linejoin="miter" fill="none" stroke="#231f20" d="M0 0H540"/>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="18" font-family="PZDRAU+Arial-BoldMT" font-weight="bold"><tspan y="-721.6296" x="233.5553 246.1013 256.6493 262.1933 272.7413 288.2933 298.8413 304.3853 308.9393 318.4973 328.05534 332.6093 344.1653 350.71733 361.26533 371.81333 378.36534 387.92335 403.47535 419.02735 428.58537 439.13337 443.68736 453.24537 457.79936 469.35536 474.89936 484.45738 495.00538 505.55339 515.1114 521.6634 526.2174 538.7634 545.3154 549.86947 559.4274 568.9854">Automotive Programmable Stepper Driver</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="20" font-family="PZDRAU+Arial-BoldMT" font-weight="bold"><tspan y="-721.7197" x="36 50.24 61.160005 72.08 83">A3981</tspan></text>
</g>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="XDGNIE+ArialMT"><tspan y="-46.2197" x="565.2935 570.8535">15</tspan></text>
<g clip-path="url(#clip_2)">
<path transform="matrix(1,0,0,-1,36,91)" stroke-width="1" stroke-linecap="butt" stroke-miterlimit="4" stroke-linejoin="miter" fill="none" stroke="#231f20" d="M0 0H540"/>
<path transform="matrix(1,0,0,-1,36,38)" stroke-width="1" stroke-linecap="butt" stroke-miterlimit="4" stroke-linejoin="miter" fill="none" stroke="#231f20" d="M0 0H540"/>
<g clip-path="url(#clip_3)">
<g transform="matrix(.041557079,0,0,.04155576,246.5352,747.864)">
<image id="image_4" width="2883" height="735" xlink:href="data:image/png;base64,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"/>
</g>
</g>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="6" font-family="WSZTMG+ArialMT"><tspan y="-37.5204" x="427.7316 431.7336 433.0656 434.3976 437.7336 441.0696 443.0676 446.4036 448.0716 453.06959 454.40159 457.40159 459.39958 462.73558 466.73759 469.73759 472.73759 474.40559 477.74159 482.73957 485.73957">Allegro MicroSystems </tspan><tspan y="-30.3204" x="428.0376 431.3736 434.7096 438.0456 439.7136 443.7156 447.0516 449.0496 450.3816 455.37959 458.71559 460.38359 463.71958 465.71757 467.38557 471.71757 475.05357 478.38957 481.72557">955 Perimeter Road </tspan><tspan y="-23.1204" x="428.1096 433.10758 436.44358 439.77958 442.77958 446.11558 449.45158 452.45158 454.11958 457.45558 459.12596 460.79396 462.46195 466.79396 471.12596 472.79396 476.12995 479.46595 482.80195 486.13795 489.47395 491.47193 494.80793 498.14393 501.47993 504.81593 506.48393 510.81593 512.48397 516.48599 518.154 522.156">Manchester, NH 03103-3353 U.S.A.</tspan></text>
<text fill="#0000ff" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="6" font-family="WSZTMG+ArialMT"><tspan y="-15.920399" x="427.99559 432.32759 436.65959 440.99159 442.65959 445.99559 447.32759 448.65959 451.99559 455.33158 457.32957 460.66557 465.66355 466.99555 469.99555 471.99354 475.32954 476.99754 479.99754 483.33354">www.allegromicro.com</tspan></text>
</g>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-659.0664" x="36 40.440004 45.440004 50.440004 55.440004 58.22 61 63.78 68.78 73.78 76.28 78.78 81.56 86.56 91 93.5 100.17 106.28 115.17 120.729999 123.229999 126.009998 129.9 132.4 135.73 140.17 145.17 150.17 154.61 159.05 164.05 166.55 168.856 174.966 179.966 182.746 186.636 189.136 193.576 196.356 199.136 204.136 211.356 215.246 217.746 220.526 225.526 229.966 232.466 236.906 241.906 245.23601 248.56601 253.00601 258.006 260.786 263.286 266.066 271.066 273.566 276.896 279.676 283.566 288.006 290.506 293.286 298.286">condition, the BEMF is reduced. This allows the current to rise to </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-647.0664" x="36 38.78 43.78 48.22 50.72 53.5 56.28 64.06 66.84 69.619998 72.119998 75.45 79.89 83.78 86.56 91 94.33 96.83 101.270008 106.270008 111.270008 113.770008 116.55 121.55 125.990009 128.49 134.05 143.49 152.38 154.88 159.32 164.32 167.65001 170.98001 175.42002 180.42002 183.20001 185.70001 190.14002 195.14002 200.14002 202.92002 206.25002 211.25002 214.03002 216.53002 219.31002 224.31002 226.81002 231.25002 235.69002 238.47002 241.25002 246.25002 250.69002 253.47002 257.91 260.41 264.30003 269.30003 274.30003 279.30003 283.74003 286.479 288.979">the limit faster and the PWM current control to activate sooner. </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-635.0664" x="36 43.22 47.11 51 56 63.78 66.56 71.56 76.56 79.06 83.5 86 90.44 95.44 100.44 104.33 107.11 111.55 116.55 119.33 121.83 125.72 128.5 132.94 137.94 140.44 143.77 148.21 150.99 155.43001 157.93001 162.37001 167.37001 172.37001 174.87001 182.65001 187.65001 190.43001 195.43001 198.76001 201.26001 204.04001 209.04001 213.48001 218.48001 220.98001 223.76001 228.76001 231.54001 235.43001 237.93001 241.26001 245.70001 249.59001 254.59001 257.37004 260.15003 264.04005 266.54005 269.32005 274.32005 276.82005 281.26005 286.26005">Assuming a constant step rate and motor load this results in an </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-623.0664" x="36 38.78 43.78 48.22 51.550004 55.990007 60.430009 64.32001 68.76001 71.26001 74.04001 79.04001 81.54001 84.32001 89.32001 93.76001 96.26001 101.26001 106.26001 114.04001 119.04001 123.48001 126.81001 129.31002 134.31002 137.64002 140.14002 145.70001 155.14002 164.03002 166.53002 170.97002 175.97002 180.41002 183.19002 187.63002 191.52002 194.02002 197.35002 202.35002 205.68003 208.18003 212.62003 217.06003 221.50003 226.50003 229.00003 232.89003 235.67003 240.11003 245.11003 247.61003 252.61003 255.94004 258.44004 261.22004 266.22004 270.66004 273.16004 280.94004 285.94004 288.72004 293.72004 296.46903">increase in the number of PWM cycles for each step of the motor.</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-605.0664" x="36 42.11 47.11 51.550004 53.495004 60.715005 65.715007 70.715007 75.715007 80.715007 83.215007 88.215007 92.105 96.545009 100.435009 102.935009 105.715007 110.715007 113.495 117.385 119.885 124.885 127.665 130.815 134.145 138.585 141.91501 146.35501 151.35501 155.79502 160.23502 162.73502 165.51502 170.51502 173.01502 178.01502 182.45502 185.23502 189.67502 194.11502 196.89502 199.39502 203.83502 206.33502 214.11502 219.11502 221.89502 226.89502 230.22502 232.72502 237.16503 242.16503 246.60503 251.60503 256.60505 259.38505 264.38505 269.38505 271.88505 275.21504 278.545 283.545 291.325">The A3981 uses this difference to detect a motor changing from </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-593.0664" x="36 40.440004 45.440004 50.440004 53.22 56 61 66 71 76 79.89 82.39 86.28 89.06 93.5 98.5 103.5 106.28 111.28 116.28 118.78 121.56 126.56 129.06 133.5 136 139.89 142.67 147.11 149.89 152.67 157.11 162.11 164.61 169.05 174.05 179.05 184.05 186.83 189.61 192.39 197.39 202.39 204.89">continuous stepping to a stalled condition. </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-575.0664" x="36 42.11 47.11 51.550004 54.050004 59.610006 69.05 77.94 80.44 88.22 93.22 98.22 101 103.78 108.78 112.11 114.61 117.94 122.380008 126.82001 129.6 134.6 137.93001 142.37001 144.87001 149.31002 153.20001 157.09001 162.09001 169.87001 174.31002 178.20001 180.70001 183.48001 188.48001 192.92002 195.42002 198.75002 203.75002 206.53002 209.31002 214.31002 221.53002 224.31002 229.31002 234.31002 236.81002 240.14002 244.58002 249.02002 251.80002 256.80003 260.13 264.02003">The PWM monitor feature assumes the following factors:</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-557.0664" x="36">&#x2022;</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-557.0664" x="39.5"> </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-557.0664" x="48 54.11 59.11 63.550004 66.05 73.83 78.83 81.61 86.61 89.94 92.44 100.22 105.22 109.11 111.89 114.39 119.39 123.83 126.33 130.22 133 137.44 142.44 147.44 150.22 155.22 160.22 162.72 166.05 170.49 174.38 177.16 179.66 184.1 189.1 194.1 199.1 204.1 209.1 211.6 214.93001 219.93001 223.26001 225.76001 228.54001 233.54001 237.98001 240.48001 247.15001 253.26001 262.15003 267.71003 270.21003 272.99003 277.99003">The motor must be stepping fast enough for the BEMF to </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-545.0664" x="48 51.33 55.770006 60.770006 65.770008 70.21001 74.65001 77.15001 79.93001 84.93001 89.37001 91.87001 96.87001 101.87001 106.31001 110.20001 114.640018 117.140018 121.58002 126.58002 129.91002 133.24002 137.68003 142.68003 145.46002 147.96002 151.85002 154.63002 159.07003 166.29003 168.79003 172.12003 176.56003 179.34003 183.78003 186.28003 188.78003 194.34003 197.12003 201.56003 204.34003 207.12003 209.62003 214.62003 219.06003 221.84003 226.28003 230.72003 233.50003 236.28003 241.28003 246.28003 248.78003 252.11003 256.55003 259.33003 262.11003 266.55003 271.55003 274.33003 277.11003 279.89 282.67 287.67">reduce the phase current slew rate. Stall detection reliability </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-533.0664" x="48 50.78 58.559999 63.559999 66.89 71.89 76.89 81.33 85.22 87.72 92.16 96.05 98.55 101.33 106.33 110.770008 113.270008 117.71001 122.71001 126.04001 129.37001 133.81002 138.81002 141.59001 144.09001 147.98001 150.76001 155.20001 162.42002 164.92002 168.25002 172.69002 175.47002 179.91002 182.41002 185.74002 190.18003 195.18003 200.18003 204.62003 209.06003 212.95003">improves as the current slew rate reduces.</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-516.5664" x="36">&#x2022;</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-516.5664" x="39.5"> </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-516.5664" x="48 54.11 59.11 63.550004 66.05 73.83 78.83 81.61 86.61 89.94 92.44 95.22 99.11 101.61 106.61 111.61 114.39 116.89 121.89 126.33 129.11 134.11 139.11 141.61 145.5 148.28 152.72 157.72 162.72 167.16 172.16 174.66 177.44 182.44 184.94 188.27 193.27 196.05 198.83 201.33 205.22 208 212.44 217.44 219.94 227.72 232.72 237.72 242.16">The motor is not being stepped in full step mode.</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-500.0664" x="36 43.22 46 48.78 53.78 58.78 63.78 68.78 73.78 76.28 80.17 82.95 87.39 90.17 92.95 95.45 100.45 104.89 107.67 112.11 116.55 119.33 122.11 127.11 132.11 134.61 139.05 143.49 148.49 153.49 158.49 161.27 163.77 168.77 173.21 175.71 180.71 185.71 190.15001 193.48001 197.92002 202.92002 205.70001 210.14002 214.58002 219.58002 222.08002 229.30002 234.30002 238.74002 243.74002 246.24002 251.24002 255.13002 257.91004 262.91004 267.91004 270.41004 273.19004 278.19004 282.63005">Although stall detection cannot be guaranteed when using the </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-488.0664" x="36 38.78 43.78 46.559999 51 56 59.33 63.770006 66.55 70.990009 75.990009 78.490009 81.82001 86.26001 90.70001 93.48001 98.48001 101.81001 106.250019 110.140018 112.640018 117.640018 120.97002 123.47002 126.250019 131.25002 135.69002 137.62102 144.84102 149.84102 154.84102 159.84102 164.84102 167.34102 169.84102 174.84102 179.84102 184.84102 189.84102 192.34102 196.23102 199.01102 203.45102 206.23102 209.01102 211.51102 216.51102 220.95102 223.73102 228.17102 232.61103 235.39102 238.17102 243.17102 248.17102 250.67102 254.00102 258.441 261.221 264.001 268.441 273.441 276.221 279.001 281.781 284.561 289.561">integrated features of the A3981, good stall detection reliability </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-476.0664" x="36 40.440004 44.880006 49.880006 52.380006 57.380006 61.820009 64.32001 68.76001 73.20001 78.20001 80.98001 85.42001 90.42001 94.860019 99.860019 102.360019 107.360019 112.360019 114.860019 119.30002 123.74002 127.07002 131.51003 134.84003 139.84003 142.62003 145.12003 149.01003 153.45003 156.23003 160.67003 165.11003 167.89003 170.67003 175.67003 180.67003 183.17003 188.17003 191.50003 194.00003 201.78003 206.78003 209.56003 214.56003 217.89003 220.39003 227.61003 230.39003 235.39003 240.39003 243.17003 248.17003 253.17003 255.67003 259.00004 263.44004 267.33006 270.11006 274.00007 276.78007 281.22007 286.22007 290.66007 295.10008">can be achieved by careful selection of motor winding resistance </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-464.0664" x="36 40.440004 45.440004 50.440004 52.940004 55.72 60.72 65.72 70.72 75.16 77.94 82.380008 87.380008 91.82001 96.26001 98.76001 101.26001 109.04001 114.04001 116.82001 121.82001 125.15001 127.65001 131.54001 136.54001 140.98001 145.42002 150.42002 152.92002 155.42002 159.86002 164.86002 169.86002 174.86002 177.64002 180.14002 185.14002 187.92002 191.04901 194.37902 198.81902 202.14902 206.58902 211.58902 216.02902 220.46903 222.96903 225.46903 229.35903 232.13903 236.57903 239.35903 242.13903 244.63903 249.63903 254.07903 256.85905 261.29905 265.73905 268.51905 271.29905 276.29905 281.29905">and inductance, motor speed, count difference, stall detection </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-452.0664" x="36 39.89 44.33 49.33 53.770006 61.550004 65.990009 68.490009 70.990009 75.43001 80.43001 85.43001 87.93001 92.93001 97.93001 100.43001 104.87001 109.87001 114.87001 118.20001 123.20001 126.530017 134.31002 137.09001 142.09001 147.09001 149.59001 152.37001 157.37001 159.87001 162.65001 167.65001 172.09001 174.59001 179.03002 184.03002 189.03002 194.03002 198.47002 200.97002 204.30002 208.74002 213.74002 218.74002 221.52002 224.85002 229.29003 237.07003 241.51003 246.51003 249.29003 253.18003">scheme, and by conforming to the above requirements.</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-659.0664" x="312 318.11 323.11 327.55 329.495 336.715 341.715 346.715 351.715 356.715 359.215 361.995 366.995 371.435 374.215 379.215 384.215 388.655 392.545 395.045 399.48503 402.265 405.595 410.035 415.035 417.815 420.595 424.48503 426.98503 429.765 434.765 437.265 441.70503 444.48503 447.265 452.265 459.48503 461.98503 464.765 469.765 474.20503 476.70503 482.265 491.70503 500.59504 503.09504 510.87504 515.875 520.875 523.655 526.43508 531.43508 534.7651 537.2651 540.0451 545.0451 547.5451 552.5451 557.5451 561.9851">The A3981 includes circuits to allow the PWM monitor to oper</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-659.0664" x="565.0908">-</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-647.0664" x="312 316.44 319.22 323.66 326.16 328.94 333.94 336.44 339.22 346.44 351.44 353.94 361.16 365.6 370.6 374.49003 377.27003 379.77003 384.21003 389.21003 396.99003 401.99003 406.43003 409.76 414.2 416.7 421.7 426.7 431.7 436.7 440.59004 443.37004 446.15003 450.59004 453.09004 458.09004 463.09004 467.53004 471.42005 475.86006 479.75007 482.25007 486.69007 491.69007 496.69007 499.19007 503.63008 508.63008 516.4101 521.4101 525.8501 529.1801 533.6201 536.1201 540.5601 545.0001 549.4401 554.4401">ate in two ways: compare opposite phases and compare each </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-635.0664" x="312 317 322 326.44 330.33003 334.77003 337.27003">phase. </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="PZDRAU+Arial-BoldMT" font-weight="bold"><tspan y="-612.5664" x="312 318.67 322 327.56 330.34 333.12 335.9 343.12 348.68 352.00999 357.56999 363.12998 366.45997 369.23997 375.34996 381.45994 384.23994 390.90995 396.46995 402.57994 408.13993 417.02995 422.58995 425.91993 428.69993 435.91993 442.0299 450.91993 457.0299 462.5899 466.47993 472.03993 474.81993 482.5999 488.7099 494.8199 500.92988 506.48988 509.26988 512.59988 518.15988 520.9399 527.60989 533.71987 539.27987 544.83987 550.39987">Stall Detection Scheme: Compare Opposite Phases</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-596.0664" x="312 318.11 323.11 327.55 330.05 335.05 339.49 342.81999 347.25999 352.25999 355.03999 357.81999 360.31999 364.21 366.99 371.43 374.21 376.99 379.49 384.49 388.93 391.71 396.15 400.59 403.37 406.15 411.15 416.15 418.65 422.54 426.98 431.98 436.42 444.2 448.64 451.14 453.92 458.92 461.42 464.2 469.2 473.64 475.55503 482.77503 487.77503 492.77503 497.77503 502.77503 505.27503 507.77503 511.66505 516.10507 518.8851 523.3251 527.7651 530.5451 534.9851 539.9851 542.4851 549.7051 554.7051 559.1451 564.1451">The default stall detection scheme in the A3981, selected when </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-584.0664" x="312 317.56 323.66999 329.22999 332.55998 337.55998 340.05998 342.55998 347.55998 350.88996 353.38996 359.02998 361.52998 366.52998 371.52998 374.02998 376.52998 379.30998 383.19999 385.69999 388.47999 393.47999 397.91999">STS[1..0] = 00, is the </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="TSEKEM+TimesNewRomanPS-ItalicMT" font-style="italic"><tspan y="-584.0664" x="400.418 404.858 409.858 417.078 422.078 427.078 430.59904 435.03904 437.53904 442.53904 447.53904 452.53904 457.53904 461.42906 464.20906 466.98905 471.42906 473.92906 478.92906 483.92906 488.92906 492.81907 497.25907">compare opposite phases</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-584.0664" x="501.1455 503.6455 507.53553 511.97554 516.9755 521.4155 529.19558 533.63558"> scheme.</tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-566.0664" x="312 321.44 326.44 330.88 335.88 338.38 341.16 346.16 348.94 352.83003 355.33003 359.22004 363.66004 368.66004 373.10005 380.88005 385.32005 387.82005 390.60005 394.49006 396.99006 400.88008 405.32008 408.10008 412.54008 416.98008 419.76008 424.20008 429.20008 431.70008 434.20008 436.98008 444.20008 449.20008 451.70008 457.26008 466.70008 475.5901 478.0901 482.5301 487.5301 492.5301 497.5301 500.3101 504.7501 508.08009 511.9701 514.4701 516.9701 521.9701 526.9701 531.4101 533.9101 537.2401 542.2401 545.5701 548.0701 552.51016 556.95016 561.39016 566.39016">When this scheme is selected, two PWM counters, one for each </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-554.0664" x="312 317 322 326.44 330.33003 334.77003 337.27003 339.77003 344.21003 348.65003 353.09004 358.09004 365.87004 370.87004 373.65003 378.09004 380.87004 385.31004 387.81004 390.59004 395.59004 400.03004 402.53004 407.53004 412.53004 420.31004 425.31004 429.75004 433.08003 435.58003 440.58003 443.91 446.41 451.97 461.41 470.30003 472.80003 477.24003 482.24003 486.68003 489.46003 493.90003 497.79005 500.29005 507.51005 512.51 516.95 521.95 524.45 527.23007 532.23007 536.67007 539.17007 544.17007 549.17007 553.61007 557.50009 561.94009">phase, accumulate the number of PWM cycles when the phase </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-542.0664" x="312 316.44 321.44 324.77 328.09999 332.53999 337.53999 340.31999 342.81999 345.59999 349.49 351.99 355.88 358.66 363.1 368.1 373.1 377.54 382.54 385.04 388.37 391.69999 396.69999 404.47999 406.97999 411.41999 415.86 419.18998 424.18998 426.68998 429.46998 434.46998 436.96998 440.29997 445.29997 448.07997 450.85997 454.18995 458.07997 462.51997 466.95997 469.73997 474.17997 476.67997 481.11997 486.11997 489.44996 492.77995 497.21995 502.21995 504.99995 507.49995 509.42195 516.6419 519.42196 521.92196 524.70199 529.70199 534.14199 536.64199 541.082 546.082 551.082 553.582 558.582 561.912">current is stepped from zero to full-scale current. At the end of </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-530.0664" x="312 316.44 320.88 325.32 330.32 332.82 337.82 342.82 347.26 351.15003 355.59004 358.09004 362.53004 367.53004 370.86003 374.19 378.63 383.63 386.41 388.91 392.24 395.02 398.91 403.35 405.85 408.35 411.13 416.13 420.57 423.07 427.51 432.51 437.51 442.51 445.29 449.73 453.06 455.56 458.88999 463.88999 467.21998 469.71998 472.49998 477.49998 481.93998 484.71998 487.21998 492.21998 497.21998 501.65998 505.55 509.99 512.49 515.27 519.16006 521.66006 526.10006 531.10006 538.88009 543.88009 548.32009 551.6501 556.0901 561.0901">each phase current rise, the counter for that phase is compared </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-518.0664" x="312 314.78 319.78 322.28 325.06 330.06 334.5 337 341.44 346.44 351.44 356.44 359.22 361.72 365.05 369.49 373.38 378.38 381.16 383.94 386.44 389.77 394.77 398.09999 400.59999 403.37998 408.37998 412.81999 415.31999 420.31999 423.64997 428.08998 433.08998 435.86997 440.86997 445.86997 449.75999 452.25999 456.69999 461.69999 465.02998 468.35997 472.79997 477.79997 480.57997 483.07997 486.40995 489.18995 493.07997 497.51997 500.01997 502.79997 507.79997 510.29997 513.07998 518.07998 522.51998 525.01998 530.01998 535.01998 540.01998 545.01998 548.91 551.69 554.47006 558.91006">to the count result for the previous current rise in the opposite </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-506.0664" x="312 317 322 326.44 330.33003 334.77003 337.27003 339.77003 344.21003 348.10005 350.60005 354.49006 359.49006 364.49006 371.71006 376.71006 379.21006 381.99006 386.99006 389.49006 395.05006 397.83006 402.83006 407.83006 411.16004 415.60005 418.10005 423.10005 425.60005 428.10005 431.43003 434.76 437.26 440.04 445.04 449.48 451.98 456.98 459.76 462.90299 466.23298 470.67298 474.00297 478.44297 483.44297 487.88298 492.32298 494.82298 497.60298 501.49299 503.99299 508.99299 512.323 516.763 521.203 523.98306 528.42306 531.75308 534.25308 537.0331 542.0331 546.4731 551.4731 553.9731 556.7531 561.7531 566.1931">phase, as shown in Figure 4. If the difference is greater than the </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-494.0664" x="312 317.56 327 335.89 338.39 342.83003 347.83003 352.83003 357.83003 360.61003 363.11003 368.11003 370.89 374.036 377.366 381.806 385.136 389.576 394.576 399.016 403.456 405.956 408.736 413.736 416.236 419.016 424.016 428.456 430.956 437.626 444.846 452.066 457.626 460.956 468.176 473.176 475.676 479.00599 483.44599 488.44599 491.22599 495.116 497.896 502.336 505.666 508.166 511.49598 518.16598 525.3859 528.71597 533.71597 536.496 541.496 544.826 548.156 550.656 553.156 555.93606 560.93606 565.37606 570.37606">PWM count difference in the CONFIG1 register (CD[7:0]), then </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-482.0664" x="312 314.78 319.78 324.22 326.72 332.28 338.206 340.706 345.706 348.486 351.266 353.766 356.546 361.546 364.046 366.826 371.826 376.266 378.766 383.766 386.546 390.986 395.986 400.986 405.986 409.876 412.656 415.436 419.876 422.376 425.706 430.146 435.146 437.926 441.816 444.596 449.036 452.366 456.256 458.756 461.536 465.42604 467.92604 471.81605 476.25605 479.03605 481.53605 484.03605 487.36604 492.36604 494.86604 499.30604 504.30604 509.30604 512.08609 514.8661 517.6461 522.6461 527.6461 530.1461 532.6461 535.42617 538.75619 541.25619 544.0362 549.0362 553.4762 555.9762 561.5362 567.4352">the ST bit in the diagnostic registers is set. In addition, if the ST </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-470.0664" x="312 315.89 318.67 323.67 328.67 333.11003 335.89 338.39 341.17 345.06004 347.56004 351.45005 355.89006 358.67005 363.11006 367.55006 370.33006 374.77006 379.77006 382.27006 386.71006 390.60008 393.10008 395.88008 400.88008 405.32008 407.82008 412.82008 417.82008 420.60008 425.60008 430.60008 433.38008 435.88008 440.88008 445.88008 448.38008 451.16007 456.16007 460.60008 463.10008 470.32008 473.65007 480.87007 488.09007 490.59007 495.59007 498.37007 503.37007 505.87007 508.37007 511.15007 516.15 520.59 525.59 528.09 530.87008 535.87008 540.31008 542.81008 547.81008 550.5901 555.5901 558.0901 565.31008 568.0901 570.8701 573.65017">signal is selected as the output on the DIAG pin, then the pin will </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="FMJOQO+TimesNewRomanPSMT"><tspan y="-458.0664" x="312 317 322 324.5 327.28 332.28 338.851 341.351">go low. </tspan></text>
<text fill="#231f20" xml:space="preserve" transform="matrix(1 0 -0 1 0 792)" font-size="10" font-family="PZDRAU+Arial-BoldMT" font-weight="bold"><tspan y="-146.9813" x="114.6583 120.7683 123.5483 129.6583 135.7683 139.6583 145.21829 147.99829 153.55829 156.88829 159.66829 166.33829 169.66829 175.22829 178.00829 180.78829 183.56829 190.78829 196.34828 199.67829 205.23828 210.79828 214.12828 216.90828 223.01828 228.57828 231.35828 238.02828 247.46828 255.79828 258.57829 265.79829 271.90827 278.01826 284.12825 287.45823 290.23823 297.45823 303.5682 312.45823 318.5682 324.1282 328.01823 330.79823 336.9082 343.0182 345.7982 353.5782 359.68818 365.79817 371.90815 377.46815 380.24815 383.57814 389.13813 391.91813 398.58815 404.69813 410.25813 415.8181 421.3781 426.9381 429.7181 432.4981 439.16813 445.2781 451.94813 455.2781 460.8381 463.6181 466.3981 471.9581 475.2881 478.06809 483.90809 486.68809 492.24809">Figure 4: Stall Detect by PWM Count Comparing Opposite Phases, STS[1..0] = 00</tspan></text>
<g clip-path="url(#clip_5)">
<g transform="matrix(.44529323,0,0,.44555346,162.18183,383.53846)">
<image id="image_6" width="631" height="533" xlink:href="data:image/png;base64,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"/>
</g>
</g>
</svg>