Online tuning of weighting factors based on sugeno fuzzy method in predictive torque control of four-switch three-phase inverter-fed IM

Four-switch three-phase inverter-fed induction motor drive is very attractive because it can be utilized in fault-to-lerant control to solve the open/short-circuit fault of the six-switch three-phase inverter without redundant power switches. However, the balanced three-phase current collapses due to fluctuation of the dc-link capacitor. Allowing constraints included, the predictive torque control (PTC) can be utilized for high performance close-loop control of four-switch three-phase inverter-fed induction motor drive. However, the control performance of PTC depends on a two weighting factors obtained through a nontrival process and this process is inefficient to be used online. To avoid this process, a fuzzy online tunning of weighting factors based on Sugeno method is presented in this paper. This method can be used for online tuning of more than one weighting factors. A program in MATLAB has been developed to verify the effectiveness of the method.