To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
According to the non-linear mapping relations between PID controller each control variable and error, design non-linear PID controller.
根据PID控制器各控制参数与偏差之间的非线性映射关系，设计非线性PID控制器。
On the basis, the position controller with a non-linear integrator combined with impulse signal is proposed.
在此基础上，提出了结合冲击信号的非线性积分器控制器。
应用推荐