有關(guān)神經(jīng)網(wǎng)絡(luò)PID 控制的文獻(xiàn)中使用的大都是PID 的一般控制算法，而性能相對(duì)優(yōu)于一般PID 控制算法的不完全微分PID算法則很少用于神經(jīng)網(wǎng)絡(luò)控制中。神經(jīng)網(wǎng)絡(luò)與不完全微分的PID 算法相結(jié)合應(yīng)用于神經(jīng)網(wǎng)絡(luò)控制，其中神經(jīng)網(wǎng)絡(luò)使用的是BP 網(wǎng)絡(luò)和神經(jīng)元。通過(guò)仿真實(shí)驗(yàn)，證明控制效果良好。
關(guān)鍵詞PID 控制不完全微分PID 算法BP 網(wǎng)絡(luò)神經(jīng)元
Abstract In literatures about neural network PID control，mostly the ordinary PID algorithm is adopted，while the incomplete differential PID algorithm
which is much better than the ordinary PID algorithm has not been often used. In this paper the authors combine the incomplete differential PID algorithm
with the neural network that uses the BP network and neuron for neural network control. The simulation shows that the control result is excellent.
Keywords PID control Incomplete differential PID algorithm BP Network Neuron