摘要
以LPV模型为被控对象,提出一种适合动态系统、整定简便的非线性PID控制算法。针对LPV模型时变非线性运行特性,引入工作点变量,采用传统Ziegler-Nichols法整定被控对象在工作点处的局部PID控制参数,通过高斯插值使控制参数在系统操作轨迹上的平滑过渡,有效避免控制参数突变对系统的冲击以及被控模型改变引起的误差,实现了对被控非线性对象的高效稳定控制.
Using linear parameter varying （LPV） model as a controlled object, an easy-tuning nonlinear PID control algorithm adapting to dynamic systems is proposed. Based on the time varying nonlinear operating characteristic of LPV model, the concept of working point variable is introduced. The local linear PID parameters at steady states were tuned using the conventional Ziegler-Nichols method, and the nonlinear PID parameters interpolated using Gaussian function along the whole operating trajectory. The proposed method can effectively avoid the impact from control parameters＇ mutation and the errors from changing controlled model. The simulation nonlinear process is well controlled with respect to efficiency and stability by the nonlinear PID control algorithm we proposed.
出处
《厦门理工学院学报》
2015年第3期36-40,共5页
Journal of Xiamen University of Technology
基金
厦门理工学院高层次人才项目(YKJ13012R)
厦门理工学院国家自然科学基金预研项目(XYK201402)
厦门理工学院对外科技合作与交流项目(E201400900)
关键词
LPV模型
非线性PID控制
高斯插值
linear parameter varying model
nonlinear PID control
Gaussian interpolation
