基于Smith预估器的单神经元PSD自适应主汽温控制

Single-neuron PSD adaptive main stream temperature control based-on Smith predictor

针对电厂中主汽温控制系统具有大滞后、非线性的特点,提出了一种新的基于 Smith 预估器的单神经元 PSD 自适应控制算法,即由 Smith 预估器和单神经元 PSD 自适应控制器组合的复合控制。并且利用Lyapunov 稳定性理论证明了单神经元自适应控制器的稳定性。实验结果表明,这种控制方式具有较好的自适应性和鲁棒性。

The main stream temperature control object is a typical control subject of dead-time and nonlinear. A new single-neuron PSD self-adaptive algorithm based on Smith predictor is proposed, in which a compound controlleriscombined withSmith predictorand single-neuron PSD self- adaptivecontroller. The controllerstability is proved by LyapunovStability Theorem. Comparedwith conventionalPIDcontroller, the simulation result shows that the new controller has better adaptability and robustness.