An improved binary differential evolution algorithm for optimizing PWM control laws of power inverters
| Autor: | Yanmin Liu, Guofeng Xu, Yongqiang Ye, Shuqu Qian |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Control and Optimization
Mechanical Engineering 020208 electrical & electronic engineering Crossover Aerospace Engineering 02 engineering and technology Power (physics) Control theory Harmonics Law Differential evolution 0202 electrical engineering electronic engineering information engineering Waveform 020201 artificial intelligence & image processing Stochastic optimization Sensitivity (control systems) Electrical and Electronic Engineering Algorithm Software Pulse-width modulation Civil and Structural Engineering Mathematics |
| Zdroj: | Optimization and Engineering. 19:271-296 |
| ISSN: | 1573-2924 1389-4420 |
| DOI: | 10.1007/s11081-017-9354-5 |
| Popis: | Stochastic optimization methods inspired by biological evolution system have been widely employed to optimize PWM control laws of power inverters. But the existing approaches impose a serious computational burden and difficult parameter tuning issues. However, the differential evolution (DE) algorithm has the superiority of simple implementation and few parameters to tune. Thus, we propose an improved binary DE (IBDE) algorithm for optimizing PWM control laws of power inverters. The proposed algorithm focuses on the designs of the adaptive crossover and parameterless mutation strategies without imposing an additional computational burden. In numerical experiments, a single-phase full-bridge and two-level three-phase inverters are considered, and the optimal PWM control law is calculated to maximize the closeness of the controlled inductor current to sinusoidal reference current by using the proposed algorithm. Experimental results indicate that IBDE can obtain high quality output waveform that is a very good approximation to the sinusoidal reference waveform. Moreover, the spectrum analysis for the optimal PWM control law obtained by IBDE indicates that the lower odd-order harmonics are eliminated, while the existing peer algorithms cannot do well. We also carry out experiments on sensitivity analysis with respect to several important parameters. |
| Databáze: | OpenAIRE |
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