Active Disturbance Rejection Control of Five-Phase Motor Based on Parameter Setting of Genetic Algorithm

Five-phase induction motors have the characteristics of high torque density, low ripple, and flexible control, making them suitable for medium- low-voltage power supply situations. However, with expansion application scenarios, five-phase need to cope increasingly complex operating conditions. propeller propulsion will face various sea conditions during actual use, electric vehicles also road requirements use. Therefore, as a motor, its speed control system must strong robustness anti-disturbance performance. The use traditional PI algorithms has problems, such poor adaptability inability adapt working conditions, but an active disturbance rejection controller (ADRC) can effectively solve these problems. due significant coupling between variables large number parameters in ADRC, tuning ADRC is complex. Traditional empirical methods only obtain rough range parameter values may errors. this paper uses based on genetic algorithm(GAADRC) tune design objective function multi-objective optimization. be adjusted were obtained through multiple iterations. simulation experimental results indicate that GAADRC lower startup overshoot, faster adjustment time, load/unload changes compared empirically tuned ADRC. Meanwhile, using algorithm motor optimal while completely uncertain; therefore, method proposed practical value.