Boost Converter Controlled by a PID Tuned with Metaheuristics Optimization

Resumen: This research aims to design a Proportional-Integral-Derivative (PID) Controller applied on a Boost Converter. The controller is tuned using the robust Particle Swarm Optimization (PSO) algorithm. Like most metaheuristic methods, this optimization algorithm is a population-based scheme that obtains optimal solutions following a fitness function under appropriate operating conditions. The PSO operative parameters are properly tuned jointly with the fitness function and transfer function of the system to obtain the optimal value of the controller gains (KP, Ki and Kd). The algorithmic constraints involve the desired output voltage, rising time, and over-shot with the lowest possible ripple. Metaheuristics helped to develop efficient controllers for highly complex non-linear or linear restrictive models, becoming an alternative to classical control tuning methods.

¿Cómo citar?

Jose Manuel Vido-Ramirez, Daniel Fernando Zambrano-Gutierrez & Juan Gabriel Avina-Cervantes. Boost Converter Controlled by a PID Tuned with Metaheuristics Optimization. Memorias del Congreso Nacional de Control Automático, pp. 388-393, 2021.

Palabras clave

Controller, Boost Converter, Particle Swarm Optimization, Control Tuning, Metaheuristics

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