史乐珍, 王华. 基于非线性最小二乘迭代的分数阶PDμ控制器整定[J]. 微电子学与计算机, 2018, 35(4): 103-107, 113.
引用本文: 史乐珍, 王华. 基于非线性最小二乘迭代的分数阶PDμ控制器整定[J]. 微电子学与计算机, 2018, 35(4): 103-107, 113.
SHI Le-zhen, WANG Hua. Fractional Order PDμ Controller Tuning Based on Nonlinear Least Squares Iteration[J]. Microelectronics & Computer, 2018, 35(4): 103-107, 113.
Citation: SHI Le-zhen, WANG Hua. Fractional Order PDμ Controller Tuning Based on Nonlinear Least Squares Iteration[J]. Microelectronics & Computer, 2018, 35(4): 103-107, 113.

基于非线性最小二乘迭代的分数阶PDμ控制器整定

Fractional Order PDμ Controller Tuning Based on Nonlinear Least Squares Iteration

  • 摘要: 针对进化算法在搜索PID控制器参数时的随机性, 提出一种基于非线性最小二乘迭代的参数整定方法.在辨识直流电机伺服系统传递函数的基础上, 进行分数阶PDμ控制器参数整定.类似于迭代反馈整定方法, 该方法首先设定伺服系统期望的输出响应, 以最小化误差平方和为目标来整定控制器的3个参数.非线性最小二乘法与进化算法整定的控制器对比结果表明, 所提的控制器迭代整定方法能够使得系统响应逼近所设定的期望响应, 而且快速地确定出唯一的控制器参数.

     

    Abstract: Aiming at the randomness of the evolutionary algorithm in searching PID controller parameters, a parameter tuning method based on nonlinear least squares iteration is proposed. The parameter tuning of fractional order PDμ controller is realized by identifying the transfer function of DC motor servo system. Similar to the iterative feedback tuning method, the desired response of the servo system is set firstly, and the three controller parameters are determined by minimizing the sum of squared errors. The compared results of the controllers tuned by nonlinear least squares method and evolutionary algorithm show that the proposed iterative controller tuning method can make the system response approximate the desired response, and also determine the unique controller parameters rapidly.

     

/

返回文章
返回