| ENHANCMENT OF QZSC FED DRIVE PERFORMANCE WITH FPSO CONTROLLER |
| M. RANJANI, P. MURUGESAN |
| Sathyabama University |
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| ABSTRACT |
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The conventional controller suffers from uncertain parameters and non-linear qualities of Quasi-Z Source converter. However they are computationally inefficient extending to optimize the fuzzy controller parameters, since they exhaustively search the optimal values to optimize the objective functions. To overcome this drawback, a Particle Swarm Optimization based Fuzzy controller parameter optimization is presented in this paper. The proposed algorithm is used to find the optimal fuzzy parameters for minimizing the objective functions. The feasibility of the proposed technique has been simulated and tested. The results are bench marked with conventional fuzzy controller and Genetic Algorithm for Quasi-Z Source Converter. The results of the DC/DC Converter for several existing methods illustrate the effectiveness and robustness of the proposed algorithm. |
| Key Words:
Fuzzy logic controller (FLC), Quasi-Z source converter (QZSC), Genetic algorithm (GA), Fuzzy particle swarm optimization (FPSO), Integral time absolute error (ITAE), Direct current (DC) |
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