DEVELOPMENT OF PARTICLE SWARM OPTIMIZATION BASED INTELLIGENT FEEDBACK CONTROLLER FOR DC-DC CONVERTERS Share

This project proposes a design of an intelligent Proportional-Integral-Derivative (PID) controller for dc-dc converters for output voltage regulation. The proposed design method utilizes the meta-heuristic features of particle swarm optimization (PSO) method and will not require the model of dc-dc converters to determine the controller gain. PSO is a well-established evolutionary computational method inspired from the social behavior of animals

such as bird flocking, fish schooling and swarm theory and is developed with the aim of building more robust and adaptable solutions. The output voltage regulation in dc-dc converter is formulated as an optimization process with the PID controller elements as variables. A suitable objective function for output voltage dynamics with a step input reference voltage is tailored with appropriate constraints on the controller constants. Then, optimization problem can be carried out using the PSO method. The optimization algorithm and the PID controller action can be implemented using a low cost digital controller and therefore is very economical. The attributes of the digital control of the power converter together with the concept of swarm intelligence can yield a robust feedback controller which rejects internal and external disturbances and provide excellent static and dynamic characteristics at all operating points.

Principal Investigator : VIGNESH KUMAR V | Contact : v.vigneshkumar@nitk.edu.in

Project Status :

Funded By :

Estimated Budget : 150000

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