基于经验公式的单纯形优化PID控制器参数研究

PID控制器的参数整定是自动控制领域的重要课题之一.虽然现在智能算法的广泛应用,使得PID控制器调节性能有了很大提高,但是这些算法大多随机、分散且搜索过程缓慢.通过引入带有经验公式的单纯形优化策略,将经验公式应用于单纯形法,二者结合,提高了优化速度和结果的准确性.仿真实验表明,这种优化策略显著地增强了控制器的调节品质,并且具有很强的鲁棒性.

Based on the Empirical Formula of the Simplex Optimization PID Controller Research

PID controller parameter tuning is one of the important subject of the field of automatic control.Although now the wide application of intelligent algorithm,and makes the PID controller adjust performance has been improved a lot,However,these algorithms are mostly random,scattered and the search process is slow.Optimization strategy through the introduction of the simplex with the empirical formula,empirical formula is applied to the simplex method,a combination of both,to improve the optimization speed and accuracy of the results.The simulation results show that this optimization strategy has significantly enhanced the controller regulating quality,and has a strong robustness.