Optimal design of PID controller by Multi-objective genetic algorithms
Résumé
A novel design method for PID controller with optimal parameters is proposed based on the Improved Non-dominated Sorting Genetic Algorithm II(NSGA-II). The design of PID controller is formulated as multi-objective optimization problem where the integral of time multiplied by absolute error and integral of the square of the error (ISE), are optimized simultaneously. By testing two control systems, the proposed method has been able to produce a good performance control.
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