基于免疫算法的逆变器多目标Pareto最优控制策略

发布时间：2018-03-20 20:52

本文选题：免疫算法　切入点：开关损耗　出处：《电工技术学报》2014年12期 　论文类型：期刊论文

【摘要】：提出一种采用免疫算法来求解逆变器输出波形质量和开关损耗多目标Pareto最优控制策略的方法。其中输出波形质量目标由波形质量评价函数刻画,开关损耗目标由开关损耗评价函数刻画,并以Pareto前沿面的形式给出多目标Pareto最优解集。在此基础上深入分析逆变器在几组不同阻感负载条件下波形质量与开关损耗之间关系图。本文通过计算数据手册提供的器件特性参数、负载电流(集电极电流)、开关门极驱动信号以及直流母线电压来计算逆变器的损耗。搭建以DSP+FPGA为核心控制系统的模拟实验平台进行小容量模拟试验,通过霍尔电流传感器采集逆变器输出电流信号,采用热敏电阻PT100测量逆变器的损耗。仿真和实验结果表明了该方法的可行性和有效性。
[Abstract]:An immune algorithm is proposed to solve the optimal control strategy of inverter output waveform quality and switching loss multi-objective Pareto, in which the output waveform quality target is described by waveform quality evaluation function. The switching loss target is described by the switching loss evaluation function. The optimal solution set of multi-objective Pareto is given in the form of Pareto frontier. On the basis of this, the relationship diagram between waveform quality and switching loss of inverter under several groups of different resistive loads is analyzed in depth. The calculation data manual is presented in this paper. For device characteristic parameters, The load current (collector current, on-close pole driving signal and DC bus voltage) is used to calculate the loss of inverter. A simulation experiment platform with DSP FPGA as the core control system is built for small capacity simulation test. The output current signal of the inverter is collected by Hall current sensor and the loss of the inverter is measured by using thermistor PT100. The simulation and experimental results show that the proposed method is feasible and effective.
【作者单位】：武汉大学电气工程学院;江西省电力科学研究院;
【基金】：国家自然科学基金(50807041) 武汉市科技攻关计划(2013060501010164) 武汉市青年科技晨光计划(2013070104010010)资助项目
【分类号】：TM464

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