The video walks through tasks for designing and implementing field-oriented control (FOC), including algorithm design, modeling, control tuning, and deployment. Start with acquiring rotor position and speed through sensors or through estimation methods by using observers. Create motor and inverter models by using motor parameter estimation techniques.
Proceed to controller design and tuning using rule based or FOC autotuning techniques. You can then generate ANSI C code from the FOC algorithm and deploy it to the target hardware to validate the motor control algorithm. Check out the following resources to get started with designing and implementing motor control algorithms with Motor Control Blockset™.
Check out the following resources to get started with designing and implementing FOC algorithms.
00:00 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻
01:12 𝗙𝗢𝗖 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲
03:32 𝗦𝗲𝗻𝘀𝗼𝗿-𝗕𝗮𝘀𝗲𝗱 𝗙𝗢𝗖
Field-Oriented Control of PMSM Using Quadrature Encoder: bit.ly/39a7cnx
Field-Oriented Control of PMSM Using Hall Sensor: bit.ly/3lK8dHZ
04:34 𝗦𝗲𝗻𝘀𝗼𝗿 𝗢𝗳𝗳𝘀𝗲𝘁 𝗖𝗮𝗹𝗶𝗯𝗿𝗮𝘁𝗶𝗼𝗻
Hall Offset Calibration for PMSM Motor: bit.ly/3rk7COl
Quadrature Encoder Offset Calibration for PMSM Motor: bit.ly/3cZE9nN
Run 3-Phase AC Motors in Open-Loop Control and Calibrate ADC Offset: bit.ly/3lJ2J06
06:39 𝗦𝗲𝗻𝘀𝗼𝗿𝗹𝗲𝘀𝘀 𝗙𝗢𝗖
Sensorless Field-Oriented Control of PMSM: bit.ly/3vTQJxB
08:17 𝗠𝗼𝘁𝗼𝗿 𝗮𝗻𝗱 𝗜𝗻𝘃𝗲𝗿𝘁𝗲𝗿 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴
Field-Oriented Control of PMSMs with Simulink, Part 2: Desktop Simulation: bit.ly/3eOZFO5
09:40 𝗠𝗼𝘁𝗼𝗿 𝗣𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻
Field-Oriented Control of PMSMs with Simulink, Part 1: Motor Parameter Estimation: bit.ly/2UHHEKr
11:53 𝗥𝘂𝗹𝗲𝗱-𝗕𝗮𝘀𝗲𝗱 𝗧𝘂𝗻𝗶𝗻𝗴
12:21 𝗙𝗢𝗖 𝗔𝘂𝘁𝗼𝘁𝘂𝗻𝗶𝗻𝗴
Field-Oriented Control of PMSMs with Simulink, Part 4: Controller Autotuning: bit.ly/3iErdXw
Spinning Brushless Motors with Simulink: bit.ly/3lGcUmk
13:45 𝗖𝗼𝗱𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁
Field-Oriented Control of PMSMs with Simulink, Part 3: Deployment: bit.ly/3y2SPMr
14:43 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗼𝗿-𝗶𝗻-𝘁𝗵𝗲-𝗟𝗼𝗼𝗽 𝗧𝗲𝘀𝘁𝗶𝗻𝗴
Code Verification and Profiling Using Processor-in-the-Loop Testing: bit.ly/3r9Oqmw
Additional Resources:
• Spinning Brushless Motors with Simulink: bit.ly/3lGcUmk
• Designing Motor Control Algorithms for Optimum Performance and Efficient Operation of an Electric Two-Wheeler: bit.ly/3RSUlgw
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