【摘要】 为了解决带有纯滞后的监控AGC系统的控制问题,提出了基于RBF神经网络的PID控制器与Smith预估器相结合的智能PID控制系统,并对传统监控AGC、应用Smith预估器的监控AGC及应用智能PID控制的监控AGC系统进行了仿真.结果表明,应用智能PID控制的监控AGC系统收敛速度明显加快,适应能力与鲁棒性比常规PID控制要好.更多还原

【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.更多还原