基于自适应模糊PID控制器的非线性系统仿真

对于缺乏精确模型的过程或参数时变的滞后过程,传统PID控制难以达到良好的控制效果.普通模糊控制能够对一些非线性系统进行控制,并不需被控对象精确的数学模型,但是模糊控制难以消除系统的静态误差.针对复杂的非线性系统,设计了自适应模糊PID控制器.该控制器将模糊控制的动态性能好的优点和PID控制的稳态精度高的优点结合起来,采用模糊控制与PID控制分段控制策略,当偏差大于某一阈值时,采用模糊推理的方法调整系统的控制量,当偏差小于某一阈值时,切换到PID控制以消除系统的静态误差,较好地克服了传统PID控制和普通模糊控制所存在的主要问题.通过仿真实验分析,证明了该控制方法的有效性.

Simulation of Nonlinear Control System Based on Self-adaptive Fuzzy PID Controller

As for the process lacking of precise model or parameter time variable and delay, traditional PID control is difficult to achieve satisfactory control purpose. Ordinary fuzzy control can control some nonlinear systems without accurate math model. But it is difficult for fuzzy control to eliminate the static errors of systems. For complex nonlinear systems, a self-adaptive fuzzy PID controller is designed. The controller, which has good static quality and high stable quality, is built when Fuzzy controller and PID controller are combined together appropriately. The segment control strategy of Fuzzy control and PID control is used. When the error is larger than the value, fuzzy control is used. And when the error is smaller than the value, PID control is used to remove static error. The problem is overcome existing in traditional PID and ordinary fuzzy control. The results of simulation experiments prove that the project is correct and practicable.