摘要
当使用先进策略整定PID控制器参数时,往往要依赖于系统所辨识的对象模型。为了降低对系统模型的依赖性,提出了一种基于同时扰动随机逼近的在线、无模型的参数整定方法。算法的核心思想是利用高效的同时扰动技术对PID控制器性能指标函数的梯度进行估计,并利用随机逼近技术对PID的三个参数进行在线调整。仿真结果验证了该方法的有效性。
A model need to be identified for the controlled plant when applying advanced strategies to determine the parameters of a PID controller.An online,model-free parameter tuning method is proposed based on simultaneous perturbation stochastic approximation in order to free the control system from plant model.The main idea for this tuning method is to use the highly efficient simultaneous perturbation approximation to the gradient of performance index function for PID controller.All parameters of PID controller can be tuned online by stochastic approximation.Simulation results show that satisfactory performances can be obtained using the proposed tuning method.
出处
《现代电子技术》
2012年第9期150-152,156,共4页
Modern Electronics Technique
基金
自然科学基金项目(61174207)
关键词
PID控制器
二自由度
参数整定
同时扰动随机逼近
PID controller
two degree-of-freedom（2-DOF）
parameter tuning
simultaneous perturbation stochastic approximation（SPSA）
