基于免疫算法的逆变器多目标Pareto最优控制策略

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Abstract In this paper,the immune algorithm is adopted to solve the quality of output current waveform and switching losses of multi-objective optimization problem inverter. The waveform quality plays a part of evaluation function of the output waveform. Similarly,switching losses is another evaluation function. Meanwhile,a picture of the relationship between the waveform quality and switching losses in the form of the Pareto front surface form an optimal Pareto optimal solution set in different inductive loads is plotted. The loss of the inverter estimation method which can be applied to any switching control strategy relies mainly on the following factors: data sheet providing the characteristic parameters of the devices,load current(collector current),switching gate signal and DC bus voltage. Finally,the experimental platform based on DSP+FPGA as the core control system is established and adequate experiments are carried out,which passed through the Holzer current sensor to collect the inverter output current signal,using the thermistor PT100 indirectly measure the switching loss of the inverter. Simulation and experimental data show that the method is feasible and effective.

Key words： Immune algorithm (IA) loss estimation multi-objective waveform quality Pareto optimum

Received: 19 December 2012 Published: 22 January 2015

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TM464

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I12/33

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