摘要
非线性预测控制(NMPC)研究在电厂热工过程控制中有很大的应用潜力。目前NMPC算法的研究主要集中在线性化控制方法、基于特殊模型的NMPC方法、先进控制策略与预测控制相结合的控制方法。分析了NMPC方法在电厂各热工过程控制系统中的应用研究现状,并对其前景进行了展望。分析表明,系统辩识与模型预测控制(MPC)的协同作用、约束NMPC算法、非线性系统的建模与参数估计、多变量有约束系统的稳定性与鲁棒性定量分析、预测控制的智能化将是电厂热工过程预测控制问题未来的研究方向。
Nonlinear model predictive control (NMPC) has great application potential in thermal engineering control system in power plant. This paper states the main NMPC algorithms at present, including linear control method, special model based method, and the one combining advanced control strategy and predictive control. The application of NMPC in thermal process control system of power plant is analyzed with its prospects forecasted. The synergy of system identification and model predictive control (MPC), constrained NMPC algorithm, the modeling and parameter estimation of nonlinear system, the quantitative analysis on stability and robustness of multivariate constrained system, intelligent predictive control will be the research direction in power plant.
出处
《广东电力》
2009年第1期1-7,共7页
Guangdong Electric Power
基金
广东省自然科学基金资助项目(05006518)
关键词
预测控制
智能控制
非线性系统
电厂
热工过程
predictive control
intelligent control
nonlinear system
power plant
thermal process