积分分离的单神经元PID控制算法及其研究

将积分分离的思想引入单神经元PID（比例积分微分控制）算法中,提出1种积分分离的单神经元PID控制算法,既避免了由于积分累积而导致的较大超调,减少振荡幅度,又利用单神经元PID算法中参数可调的特性,增强了控制系统的自适应能力。通过对不同被控对象的仿真研究,表明其有效性和优越性。同时,通过对该算法中阈值取值研究及该算法与普通PID及单神经元PID的对比研究,指出了该算法的优缺点。

Single Neuron PID Algorithm of Integral Separation and Its Research

The idea of integral separation is leaded into the single neuron PID （Proportional Integration Differential） control algorithm, and then a kind of single neuron PID algorithm based on integral separation is presented. Which avoids the larger overshoot because of integral accumulates and reduces the oscillation amplitude, furthermore,using the characteristics of single neuron PID algorithm-parameters are adjustable, the adaptive capacity of system is enhanced. Through the simulation of various controlled objects, indicating its effectiveness and superiority. Meanwhile, studied the value of the threshold and compared the algorithm with the ordinary PID and the single neuron PID algorithms,the algorithm the advantages and disadvantages of the algorithm was pointed out.