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Spectrum Optimisation for Random PWM Techniques using MOGA
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| Author(s) |
T-X. Mei |
| Abstract |
Spectrum optimisation for random PWM techniques is studied. Multi-Objective Genetic Algorithms are used to generate random sequences which optimise distributions of frequency components of power converters. It demonstrates that optimal power distributions can be obtained with reduced harmonics power at low frequencies and minimised magnitude at high frequencies. Two random PWM techniques are studied, - the randomised switching frequency PWM (RSPWM) and randomised pulse positions PWM (RPPWM). Results from the optimised random PWM techniques are compared with standard regular sampled PWM and non-optimised random methods, and significant improvements are achieved by the use of the optimisation procedure. |
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| Filename: | EPE2001 - PP00812 - Mei.pdf |
| Filesize: | 47.95 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-03-11 by System |
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