AGC板厚控制系统中对时滞非线性问题的有效控制方法

Effective Method to Compensate the Nonlinear and Time-delay Part of AGC Strip Gauge Control

针对在AGC板厚控制系统中存在时滞、时变、大惯性、非线性等问题,提出了采用自适应集中延时神经网络辨识、最优预报和模糊免疫PID控制相结合的控制方案,有效地提高了系统的控制精度和动态性能.经MATLAB仿真实验表明,各项指标均好于传统的控制方式,取得了令人满意的控制效果.

Against the problems of time-delay, parameters-varyingness, large inertia, and non-linearity existing in AGC systems, a controller which combines adaptive centralized time-delay neural network recognition, optimal prediction and immunized fuzzy PID is proposed. The controller effectively improves the accuracy and dynamic performances of the system. Simulations in Matlab show that the controller is superior to traditional control strategies in all design criteria.