Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
An adaptive scheduling system with genetic algorithms for arranging employee training programs
Expert Systems with Applications: An International Journal
Design of fuzzy power system stabilizer using adaptive evolutionary algorithm
Engineering Applications of Artificial Intelligence
GA-based PID active queue management control design for a class of TCP communication networks
Expert Systems with Applications: An International Journal
Modeling and control of a pilot pH plant using genetic algorithm
Engineering Applications of Artificial Intelligence
Intelligent identification and control using improved fuzzy particle swarm optimization
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
We demonstrate a concept for pulse-width modulation (PWM) control of a parallel DC-DC buck converter, which eliminates the need for multiple physical connections of gating/PWM signals among the distributed converter modules. The proposed control concept may lead to easier distributed control implementation of parallel DC-DC converters and distributed power systems. For equipment with significant power requirement, the traditional single power supply may not be adequate. Many power supplies with parallel regulation control can be used to solve this problem. This paper proposes a Proportional-Integral-Derivative (PID) controller to control paralleled DC-DC buck converters and current sharing is achieved. A genetic algorithm (GA) is employed to derive optimal or near optimal PID controller gains. Both simulations and experimental results are provided to verify the theoretical analysis through an experimental prototype of paralleled DC-DC buck converters.