摘要
通过一种新学习算法的导出,并结合模糊逻辑系统中的模糊基函数,给出了一种带有通用规则库的模糊滑模自适应控制器。这种控制器能够在线自动调整参数,能对热工过程中的大惯性大迟延对象进行有效的控制。当对象参数变化或存在较大扰动的情况下,仍能保持很好的控制品质。该方法已被用于某电厂主汽压力控制系统。仿真结果表明:该算法具有良好的控制品质和很强的鲁棒性。
A versatile fuzzy sliding-model adaptive controller with a bank of general rules is being presented on the basis of a newly derived self-learning algorithm, in combination with fuzzy based functions of a fuzzy logic system. The controller is capable of automatically on-line adjustment of parameters, and effectively control objects, which are characterized by large inertia or long time lag, in various thermal engineering processes. With this controller, good control quality can be maintained even under conditions when the controlled objects ( parameters are subjected to large variations or disturbances. The proposed method has already been applied to fresh-steam pressure control systems of power plants. Simulation results show that this algorithm is characterized by sound control quality and strong robustness.
出处
《动力工程》
EI
CSCD
北大核心
2005年第1期68-72,共5页
Power Engineering
基金
国家电力公司青年科技促进费项目资助(SPQKJ013)
关键词
自动控制技术
电厂
热工过程
学习算法
模糊基函数
模糊滑模控制器
自适应控制
automatic control technique
power plant
thermal engineering process
learning algorithm
fuzzy based function
fuzzy sliding-model controller
adaptive control