Artificial Intelligence Based Control of a Shunt Active Power Filter

With day-by-day increasing significance of Power Electronics, the issue of harmonics being introduced in electrical systems needs to be addressed on a priority basis. Active Filters are very apt solution for reducing harmonics. Here a Shunt Active Power Filter with Artificial Neural Network(ANN) Control and Neuro-Fuzzy Control is proposed. For ANN control the concept of predictive and adaptive control has been used which helps in fast estimation of compensating current. The algorithm for predictive control is new and simulation shows quite good results. The dynamics of the dc-link voltage is utilized in a predictive controller to generate the first estimate followed by convergence of the algorithm by an adaptive ANN (adaline) based network. Again Neuro-Fuzzy control is used which gives still better simulation result