摘要
预测控制对具有大惯性、大滞后特性的工业过程具有优良的控制性能,但是目前己有的预测控制方法大多数是基于极小化某一性能指标的优化方法的,因而存在稳定性分析困难,难以实现控制算法的稳定性设计的问题,阻碍了预测控制在电力企业热工过程控制中的推广应用。为此,该文基于李亚谱诺夫稳定性理论,提出了一种新的模型预测控制方法及其相应的控制算法,将该算法应用于单元机组过热汽温控制进行仿真研究,并与广义预测控制(GPC)方法进行比较,结果表明基于李亚谱诺夫稳定性的预测控制方法是有效的,其控制性能明显优于常规的广义预测控制。
Predictive control is a popular technique for the control of slow dynamical systems. However, most existing Predictive control algorithms are implemented by optimization method to minimize a performance index, which results in the difficulty to analyze the stability of the predictive control algorithms, and further makes it difficult to implement the stability design of predictive controllers. In this paper,a new predictive control method is proposed based on Lyapunov stability theory. The related predictive control algorithm is given which can guarantee the stability of predictive control systems. An application study of the method for superheated steam temperature control is carried out. The simulation results show the proposed predictive control method is valid and its control performances are superior to that of GPC.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2002年第8期40-43,48,共5页
Proceedings of the CSEE
