适用于非线性对象的模糊-神经元控制方法

针对具有严重非线性的受控对象，提出了一种模糊-神经元控制方法。该方法将模糊PID控制器与神经元控制器相结合，用于改善控制器控制非线性对象的性能，以误差、误差变化率及设定值的变化来自调整神经元控制器增益，提高了控制系统的响应速度和鲁棒性。将所提出控制方法用于pH中和过程控制，仿真实验结果表明，该方法具有满意的控制品质及很强的适应性。

A Fuzzy-Neuron Control Scheme for Nonlinear Objects

In accordance with the seriously nonlinear controlled objects, a fuzzy-neuron control scheme is proposed. In the scheme, the fuzzy PID controller is combined with neuron controller to improve the performance of controller controlling nonlinear objects. The gain of the neuron controller is calculated and tuned according to the error, the change rate of error, and the set point of the systems. The response speed and robustness of control system are enhanced. The proposed control method has been used in pH neutralization process control. The simnlating results verify that the method features satisfying control quality and strong adaptability.