監控AGC系統的智能PID控制策略

Intelligent PID control strategy for monitor AGC system

摘要: 為了解決帶有純滯后的監控AGC系統的控制問題,提出了基于RBF神經網絡的PID控制器與Smith預估器相結合的智能PID控制系統,并對傳統監控AGC、應用Smith預估器的監控AGC及應用智能PID控制的監控AGC系統進行了仿真.結果表明,應用智能PID控制的監控AGC系統收斂速度明顯加快,適應能力與魯棒性比常規PID控制要好.

Abstract: A PID control strategy based on RBF network and combining with Smith estimator was proposed for dead-time monitor AGC system. Simulations on classical monitor AGC, Smith estimator-based AGC and intelligent PID-based AGC were done. The simulation results indicate that the convergent speed of the intelligent PID-based AGC is faster than the others, and it has satisfied adaptability and robustness.