基于模糊调整单神经元增益的黑液液位控制算法研究

A study on black liquor level control based on Fuzzy-single neuron PID algorithm

单神经元PID算法在非线性、时变性以及模型不确定的控制系统中能表现出优越的静态性能,同时模糊算法在未知模型和不精准控制的控制系统中,具有良好的动态性能。针对黑液液位的时变性、非线性等特点,将模糊算法与单神经元PID算法相结合,设计出一种动静态性能良好的模糊调节单神经元增益的新型算法。仿真结果表明,该算法在黑液液位控制中具有很强的鲁棒性,响应速度快、自适应能力强。

In the control system with non-linear, large time-lag and uncertain model, single neuron PID algorithm shows superior static performance. At the same time, in the control system with unknown model and imprecise control, the fuzzy algorithm shows satisfing dynamic property. In view of the black liquor level characterized of time-varying, non-linear and so on, was proposed a new algorithm which combines fuzzy algorithm and single neuron PID algorithm. The simulation shows that the new algorithm has strong robustness, rapid response speed and good adaptive ability in the black liquor level control system.