DocumentCode
2930470
Title
Research and application of multi-objective particle swarm optimization in linear induction motor operating mechanism
Author
Liu, Ai-Min ; Zhang, Hong-kui ; Yang, Guang ; Lin, Xin
Author_Institution
Liaoning Province Key Lab. of Power Grid Safe Oper. & Monitoring, Shenyang Univ. of Technol., Shenyang, China
fYear
2011
fDate
23-27 Oct. 2011
Firstpage
291
Lastpage
295
Abstract
In order to obtain larger starting thrust to meet the requirement of the mechanical property of high-voltage circuit breaker, the cylindrical linear induction motor (C-LIM) applied to the circuit breaker operating mechanism was proposed and optimized in this paper. Firstly, the multi-objective particle swarm algorithm was proposed and used in the global optimization of cylinder linear induction motor according to its characteristic. Secondly, the mathematical model of multi-objective optimization algorithm was established based on the grain of subgroup algorithm, and the programs were compiled by using the Matlab engineering calculation tool, at the same time the visual interface was developed. Finally, the results indicated that the multi-objective optimization design is obviously better than the single optimization design. The thrust are increased, the structure and size of motor are also reduced. So it can increase the usability of the C-LIM drive mechanism and provide the basis for the design of miniaturization of circuit breaker operating mechanism.
Keywords
circuit breakers; linear induction motors; motor drives; particle swarm optimisation; C-LIM drive; Matlab; cylindrical linear induction motor; global optimization; high-voltage circuit breaker; mechanical property; multiobjective particle swarm optimization; starting thrust; subgroup algorithm; visual interface; Algorithm design and analysis; Circuit breakers; Induction motors; Mathematical model; Optimization; Particle swarm optimization; Permanent magnet motors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Power Equipment - Switching Technology (ICEPE-ST), 2011 1st International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4577-1273-9
Type
conf
DOI
10.1109/ICEPE-ST.2011.6122991
Filename
6122991
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