
doi: 10.1155/2014/471609
PID controller is used in most of the current-speed closed-loop control of permanent magnet synchronous motors (PMSM) servo system. However,Kp,Ki, andKdof PID are difficult to tune due to the multiple objectives. In order to obtain the optimal PID parameters, we adopt a NSGA-II to optimize the PID parameters in this paper. According to the practical requirement, several objective functions are defined. NSGA-II can search the optimal parameters according to the objective functions with better robustness. This approach provides a more theoretical basis for the optimization of PID parameters than the aggregation function method. The simulation results indicate that the system is valid, and the NSGA-II can obtain the Pareto front of PID parameters.
closed-loop control, optimal PID parameters, QA75.5-76.95, Feedback control, Engineering (General). Civil engineering (General), non-dominated sorting genetic algorithm II (NSGA-II), permanent magnet synchronous motors (PMSM) servo system, Electronic computers. Computer science, Application models in control theory, multiple objectives, Sensitivity (robustness), TA1-2040, Computational methods in systems theory
closed-loop control, optimal PID parameters, QA75.5-76.95, Feedback control, Engineering (General). Civil engineering (General), non-dominated sorting genetic algorithm II (NSGA-II), permanent magnet synchronous motors (PMSM) servo system, Electronic computers. Computer science, Application models in control theory, multiple objectives, Sensitivity (robustness), TA1-2040, Computational methods in systems theory
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