基于二次型优化的单神经元PID控制器及其pH过程控制应用

A single-neuron PID controller based on quadrics optimazation and its pH process control application

针对pH值控制这种强非线性过程,提出基于二次型优化的单神经元PID学习算法,该算法不用考虑常规PID对非线性过程分段区间划分的问题。基于这种算法的PID控制器解决了普通单神经元PID控制器静态性能不佳的问题。仿真结果表明,这种改进型控制算法比原算法具有更好的自适应能力和抗干扰性能。

Aiming at strong nonlinear process such as pH process,a single neuron PID learning algorithm based on quadrics optimization is put forward. This algorithm needn＇t conside the question of subsection compartmentalization for common PID. The controller based on above-mentioned algorithm solves the problem of bad static state performance for common single neuron PID controller. Simulation control results of a strong nonlinear pH process show that this method has better adaptation and anti-disturbance ability than the original algorithm.