Two controllers are proposed in this paper. These controllers have been designed and implemented on the rectifier and quasi impedance-source inverter (QZSI) in the wind energy conversion system based on permanent magnet synchronous generator (PMSG). Model based predictive control strategy (MBPC) has been used at the proposed design for both controllers. Control of parameters such as load curren...

In permanent magnetic machines the nonlinearity due to the quadratic terms of the current makes difficulties in the control system. In order to cancel the nonlinearity, a strategy based on a pre-compensation action, which is conceived through two input partition matrices is presented. After canceling the nonlinearity a Model Predictive Control is used to obtain a positioning of the actuator. Si...

This paper presents a neural network predictive control strategy to optimize power distribution for a fuel cell/ultracapacitor hybrid power system of a robot. We model the nonlinear power system by employing time variant auto-regressive moving average with exogenous (ARMAX), and using recurrent neural network to represent the complicated coefficients of the ARMAX model. Because the dynamic of t...