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作 者:万萌[1] 应展烽[1] 张旭东[1] Wan Meng;Ying Zhanfeng;Zhang Xudong(School of Energy and Power Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)
机构地区:[1]南京理工大学能源与动力工程学院
出 处:《南京理工大学学报》2019年第6期667-676,共10页Journal of Nanjing University of Science and Technology
基 金:国家自然科学基金(51607091);智能电网保护和运行控制国家重点实验室开放课题(SGNR0000GZJS1705881)
摘 要:为了提高功率器件结温控制精度,提出了功率器件主动热控制的参数优化方法。基于功率器件主动热控制原理和热网络模型,构建比例-积分(PI)参数优化的目标函数。利用遗传算法对目标函数进行求解,获得最优PI参数。为了验证方法的有效性,以功率MOSFET构成单相全桥电路,以电流动态限幅为手段,在不同的电流限幅最大值、器件初始结温和环境温度等情况下,对功率器件进行了主动热控制仿真与实验。结果表明,该文PI参数优化方法能够提升功率器件结温控制准确性。In order to improve the accuracy of junction temperature control,a parameter optimization method for active thermal control of power devices is proposed.An objective function of proportional-integral(PI)parameter optimization is constructed based on the active thermal control principle and the thermal network model of power devices.The objective function is solved by genetic algorithm to obtain the optimal PI parameters.To verify the effectiveness of this method,a single phase full bridge circuit is composed of power MOSFETs,and dynamic current limiting is taken as the means of active thermal control.The active thermal control of power devices is simulated and experimented under different maximum current limits,initial junction temperature and ambient temperature.Results show that the proposed method can improve the accuracy of junction temperature control.
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