摘要
多变量锅炉-汽机协调系统的动态特性随着工况而变化,文中提出了一种新型的模糊增益调度预测控制策略来控制这个非线性过程。基于模糊集合理论建立了机炉协调系统的非线性离散全局模糊模型,并设计了一种基于全局模糊模型的新型扩展状态空间预测控制器。它能方便地处理控制作用的受限优化问题,同时它卓越的滚动优化能力又确保了机炉协调系统在全工况范围内的最优控制品质。仿真试验表明:文中所提出的全局非线性预测控制器在控制作用幅值、速率均受限的情况下仍具有满意的全工况负荷跟踪性能。
This paper proposes a new fuzzy gain- scheduled model predictive controller to control the nonlinear MIMO boiler-turbine coordinated system which dynamics often varies over a wide range. With the help of fuzzy set theory, a global discrete-time fuzzy model for nonlinear boiler-turbine system is obtained; Based on it, a new extended state-space model predictive controller is particularly designed, and its excellent ability of global optimization in receding horizon can demonstrate the optimal control performance over full operating range. Moreover, the proposed predictive controller can easily solve the constrained optimization of manipulated variable. Finally, simulation results over a wide range show that the proposed control system has good load tracking property under amplitude limits and slew-rate limits on the manipulated inputs.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2005年第4期158-165,共8页
Proceedings of the CSEE
关键词
热能动力工程
机炉协调系统
模糊增益调度预测控制
非线性系统
Thermal power engineering
Boiler-Turbine system
Global fuzzy model
Predictive control
Gain Scheduling
Constrained Optimization
