Application of Particle Swarm Optimization on DTC for Induction Motors
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 04
An application of PSO technique for harmonic elimination in a PWM inverter
Applied Soft Computing
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
Multi-objective parameter estimation of induction motor using particle swarm optimization
Engineering Applications of Artificial Intelligence
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
IEEE Transactions on Evolutionary Computation
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Particle swarm optimisation PSO algorithm is known for its easy implementation and has been empirically shown to perform well in many optimisation problems. Thus, it is expected to mitigate the computational burden associated with the solutions of non-linear transcendental equations relevant to problems related to power converter systems. This paper starts with an overview of the general concept of PSO and its variants. It then continues with a review on the application of the PSO algorithm in power converter systems. Then, a sample application is described, focusing on the implementation of the harmonic elimination pulse width modulation HEPWM technique on a single-phase inverter circuit. The results of a simulation and experimental work on the inverter operation have revealed that the PSO method employed is capable of accurately calculating the relevant switching angles and generating the gate signals for the inverter power devices and improving its overall system performance.