非线性大滞后系统的单神经元模糊预测控制

提出一种单神经元模糊预测PID控制策略,无需对复杂控制过程建立数学模型,只要检测过程的实际输出和期望输出,通过模糊预测控制修正单神经元PID控制规则,即可对非线性大滞后系统实现自适应控制.对于大滞后扰动系统,在稳定性、快速性、鲁棒性方面明显优于常规单神经元PID控制器.仿真结果表明,该方法应用于非线性大滞后系统具有良好的控制品质.

Single- neuron fuzzy predictive control for nonlinear large delay systems

Presents a single-neuron fuzzy predictive control method which doesn't need to identify the mathematical model of the processes.It realizes the adaptive control for the nonlinear large delay systems by inspecting practical output and expectation output of the processes on-line as well as adjusting the single-neuron PID control rule through fuzzy predictive control.Moreover,compared with the conventional PID controller,the proposed method presents better performance in stability,rapidity and robustness for large delay disturbed systems.Through the simulation experiments,the proposed method shows good control quality in nonlinear large delay systems.