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作 者:欧阳松 王晶 柯常国 Ouyang Song;Wang Jing;Ke Changguo(Wuhan Institute of Marine Electric Propulsion,Wuhan 430064,China)
出 处:《船电技术》2020年第1期18-22,共5页Marine Electric & Electronic Engineering
摘 要:针对船舶柴油发电机组励磁系统非线性、强耦合的特点,设计了励磁系统的模糊PID控制器,该控制器由模糊控制器和PID控制器并联而成,将船舶发电机端电压的偏差及其变化率经模糊化处理后的模糊量作为模糊推理机的输入。由于模糊PID控制器的设计具有较强的主观性,且其隶属度函数对控制器的性能影响较大,因此确定ITAE指标函数最小的目标,针对此目标采用蚁群算法对模糊控制器的隶属度函数进行优化。在Matlab环境下对柴油发动机和发电机的控制进行了仿真,仿真结果表明,蚁群算法优化隶属度函数后的模糊PID控制器使发电机的端电压更加稳定,具有较好的稳态和动态性能。The fuzzy PID controller of the excitation system is designed in accordance with the characteristics of non-linearity and tight coupling of the excitation systems of marine diesel generating sets.The controller is composed of fuzzy controller and PID controller in parallel,and the fuzzy variable of the deviation and changing rate of the terminal voltage of marine generators is adopted as the input of the fuzzy inference machine.Since the design of fuzzy PID controller has strong subjectivity and its degree of membership function has a great effect on the performance of the controller,the smallest target of ITAE standard function is ascertained.Based on this target,ant colony algorithm can be used to optimize the membership function of the controller.The control experiment of the diesel engine and generator is simulated by using MATLAB method,and the simulation result demonstrates that the fuzzy PID controller with an optimized membership function increases the stability and dynamic performance of the terminal voltage of the generators.
关 键 词:柴油发电机组 励磁系统 模糊控制 蚁群算法 控制器优化
分 类 号:U672[交通运输工程—船舶及航道工程]
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