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机构地区:[1]电子科技大学能源科学与工程学院,四川成都611731 [2]电子科技大学电力系统广域测量与控制四川省重点实验室,四川成都611731
出 处:《电力系统保护与控制》2012年第7期117-122,共6页Power System Protection and Control
基 金:中央高校基本科研业务费专项资金资助(ZYGX2009X014);教育部新世纪优秀人才支持计划项目(NCET-09-262)~~
摘 要:模糊自适应PID控制方法的应用,解决了常规PID控制方法过分依赖于被控系统精确数学模型的问题。对于电动汽车充电系统,模糊自适应PID控制方法的抗故障能力并不突出。针对该问题,建立了充电系统的近似数学模型,讨论了常见故障对系统的影响,提出了一种分段式模糊自适应PID控制方法,给出了基于这种控制方法的相关参数的整定规则。Matlab仿真结果表明:这种控制策略的效果是显著的,与传统的模糊自适应PID控制方法相比,它具有更好的动静态性能和更强的抗故障能力。With the application of fuzzy self-adaptive PID control method, the deficiency of conventional PID control method which is over-dependence on the exact mathematical model of controlled system has been overcome. But the ability of resistance to fault of fuzzy self-adaptive PID control method is not outstanding for electric vehicle charging system. In order to solve the problem, this paper establishes the approximation mathematical model of charging system, and discusses the influence of common malfunction on the system, and then proposes a new kind of segmented fuzzy self-adaptive PID control method, and gives the setting rules of the related parameters based on this control method at last. MATLAB simulation results show that the effects of this control strategy are remarkable, and compared with the traditional fuzzy self-adaptive PID, this control strategy has a better dynamic and static performance and a stronger ability of resistance to fault. This work is supported by the Fundamental Research Funds for the Central Universities (No. ZYGX2OO9XO14) and the Program for New Century Excellent Talents in University (No. NCET-09-262).
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