PID控制器设计与仿真研究

研究优化PID控制器性能问题,在过程控制中,系统存在纯滞后性、时变性、非线性的复杂系统,传统模糊控制和PID控制方法解决上述问题效果不佳,导致超调量大和调节时间长。为了解决控制系统中超调量大和调节时间长等难题,在Smith预估器和传统PID控制的基础上,结合模糊PID控制的优点,提出一种模糊PID-Smith的智能控制方法。方法通过对模型的纯滞后进行补偿,来减小纯滞后系统的超调量,从而增强系统的稳定性。通过对火电机组主汽温控制系统进行仿真,结果表明,方法降低了超调量,减少了调节时间,极大地改善了控制性能,提高了控制系统的自适应性和鲁棒性。

Design and Simulation on PID Controller

In processing control systems there are some pure time-delay and dynamicity nonlinear systems,the traditional fuzzy control and PID control method can not control effectively.In order to improve the control effect of PID control system,this paper put forward a Fuzzy-Immune-PIFD-Smith prediction control system.Using the advantages of both adaptive Smith estimater and PID,can not only set parameters,but also make the controller,reduce overshoot in advance.Simulation results show that controller can reduce overshoots and reduce the overshoot time,and has good adaptability and robustness.The control effect is better than other PID control.