针对汽轮机调速系统存在死区、饱和等非线性的控制特点,提出了基于混沌优化策略与CMAC网络PID并行控制相结合的控制方法,并将其应用于汽轮机调速系统的参数设计中。该方法首先通过混沌搜索,得到控制器参数的次优值,然后利用变尺度的方法在次优值附近找出控制器参数的全局最优值。与CMAC网络传统PID并行控制以及单纯PID控制相比较的仿真结果表明,该方法能更好地提高控制系统的精度和响应速度。 Aiming at the nonlinear control characteristics of turbine governor system, such as dead zone and saturation, a control method based on chaos optimization strategy and CMAC network PID parallel control is proposed and applied to the parameter design of turbine governor system. The method first obtains the suboptimal value of the controller parameters by chaos search, and then uses the variable scaling method to find out the global optimal value of the controller parameters near the suboptimal value. Compared with the traditional PID parallel control of CMAC network and pure PID control, the simulation results show that this method can better improve the accuracy and response speed of the control system.