Optimization For PSMS By Using Particle Swarm Optimization

Yaacob, Muhammad Aiman (2018) Optimization For PSMS By Using Particle Swarm Optimization. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This report shows a modern method for speed control of a PMSM utilizing the Particle Swarm Optimization (PSO) algorithm to improve PI-Controller parameter such as Kp and Ki.This project promotes the software which can perform the result and performance of PMSM drive.There are three objectives to be achieves in this project which are to design a model of PMSM base on vector control approached,to apply PSO technique to improve PMSM drive, to verify the effectiveness of the proposed PSO technique through experiment analysis.The usage of PSO as an optimization algorithm creates the drive tough,with advance dynamic response,progressive accurateness and sensitive to load deviation.Contrast amid different controllers is accomplished,utilizing a PI controller which is tuned by two techniques,firstly conventional and secondly utilizing the PSO method.The performance of PMSM will be evaluated based on the speed response produced by different tuning methods.The rise time,overshoot and settling time will be recorded for making comparison.The result show by applying PSO method for tuning the PI parameters,the overshoot and settling time is decrease compare with trial and error method.But,the rise time for PSO method is more than trial and error method.

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