The use of genetic algorithms for the design of current controllers for active shunt filters

This paper describes the automated design of the current controller in an active shunt filter. The design method employs a genetic algorithm (GA) based routine. A suitable user definable fitness function assesses the performance of several control parameters, and select which values will evolve to the next generation. Evolution over many generations evaluates a wide range of controller structures and values, and ultimately determines which one best achieves the control goals. Simulation and experimental results show that the method produces a good current controller design, but equally importantly, the design is carried out with very little user interaction. As such the design method is attractive to commercial manufacturers of active shunt filters, as it can significantly reduce commissioning times.