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作 者:岳舟[1]
机构地区:[1]湖南人文科技学院能源与机电工程系,娄底417001
出 处:《高技术通讯》2015年第12期1069-1075,共7页Chinese High Technology Letters
基 金:湖南省科技计划(2014GK2004)资助项目
摘 要:在研究矩阵变换器的拓扑结构、工作原理和分析神经元PID控制机制及其学习算法的基础上,将基于专家调节增益的神经元PID控制策略引入到Buck-Boost矩阵变换器(BBMC)的双闭环控制系统中,实现了一种具有优良电气特性的新型Buck-Boost矩阵变换器。利用MATLAB仿真软件对这种新型BBMC的控制效果进行了验证,验证结果表明:当其输入侧电压发生突变时,神经元PID能有效调节PID参数,使其输出电压有效地跟随输入电压的变化,从而迅速达到稳定,表现出了良好的动态性能和鲁棒性。The topological structure and working principle of matrix converters were studied, and portional-integral-differential) control mechanism and its learning algorithm were analyzed the neuron PID (pro- Then, a new type of Buck-Boost-matrix converter (BBMC) with excellent electrical characteristics was designed and implemented by applying a neuron PID control strategy based on expert' s gain control to BBMC' s double closed loop control sys- tem. The control effect of the new BBMC was verified by the simulation using the software of MATLAB. The simu- lation results show that, when the BBMC' s input voltage changes suddenly, the neuron PID can effectively adjust the PID parameters to make the output voltage follow the change of the input voltage effectively to quickly reach a steady state, presenting its better dynamic performance and robustness application value
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