DocumentCode :
508139
Title :
An Immune Algorithm Based Approach to Inverter Control
Author :
Yuan, Jiaxin ; Su, Xiaofang ; Chen, Baichao
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
Volume :
4
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
3
Lastpage :
7
Abstract :
In this paper, a novel nonlinear technique employing immune algorithm (IA) as the search method for the optimum control of the inverter was presented. The design problem was converted to an equivalent optimization problem, and the IA was adopted to find the optimal control sequence. IA well fits with on-line microprocessor implementation. An example using a single-phase full-bridge inverter verifies the usefulness of the method. The simulation and experimental results prove the goodness of the presented approach.
Keywords :
artificial immune systems; bridge circuits; invertors; microprocessor chips; optimal control; search problems; design problem; equivalent optimization problem; immune algorithm; inverter control; nonlinear technique; online microprocessor; optimal control sequence; search method; single-phase full-bridge inverter; Control engineering education; Design optimization; Encoding; Flowcharts; Immune system; Optimal control; Pulse width modulation; Pulse width modulation inverters; Search methods; Vaccines; Immune Algorithm; Inverter; Optimization control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.204
Filename :
5365631
Link To Document :
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