Nonlinear PID-like neuron network controller

A nonlinear PID-like intelligent controller based on nonlinear proportional, integral and differential components was studied. Firstly the three components are respectively expressed as the trigonometric functions of error signals, and then these three independent nonlinear functions synthesize the intelligent controller. Through online adjusting the weights of the three independent nonlinear functions, the intelligent controller can control nonlinear objects and is independent of the nonlinear object model. Simulation results show that the intelligent controller possesses an excellent non-linear control performance.