摘要
在热力系统中采用容错控制技术,可以提高控制系统的可靠性,同时降低运行成本。研究采用自适应模糊控制实现非失效的被动容错控制。提出一种新的自适应模糊控制器;采用基于动态神经元网络的辨识模型学习被控对象的动态特性,设计了评价模糊控制器性能的FITAE指标;采用遗传算法优化模糊控制器参数,同时优化比例因子和控制规则表。为了提高模糊控制器的自适应调整速度,采用二阶段优化策略。仿真研究表明:自适应模糊控制器的热力系统被动容错控制方法是可行的。
By employing the tolerant control technology in thermal system, the dependability of control system is improved and operation cost is declined. The self-adaptation fuzzy controller is used to realize the passive fault tolerant control of non-inactivate fault. A new self-adaptation fuzzy controller is put forward for thermal systems. The controller adopts identification model based on the dynamic neuron network to study the dynamic characteristic of target. The controlling performance of the fuzzy controller is appraised by a FITAE index designed for it. GA is used to optimize the fuzzy controller including proportion factor and form of controlling regulation. To increase the spped of fuzzy controlling self-adaptation, the two stages optimize strategy is employed. Its feasibility is provent by simulation research. Figs 3 and refs 7.
出处
《动力工程》
CSCD
北大核心
2004年第1期50-54,共5页
Power Engineering
