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This work proposes the application of model predictive control (MPC) to the control of five-phase voltage source inverters. The additional switching states and degrees of freedom present in multiphase inverters increase the number of calculations in the predictive control algorithm making difficult to implement optimization problem online. In this paper a method to reduce the calculations is proposed...
Model predictive control with a finite control set has emerged as a promising control tool for power converters and drives. One of the major advantages is the possibility to control several system variables with a single control law, by including them with appropriate weighting factors. However, at the present state of the art, these coefficients are determined empirically. There is no analytical...
This paper describes realization of a fast current control system of permanent magnet synchronous motor (PMSM) based on model predictive control (MPC). This current controller directly selects one of the switching modes of a PWM inverter, while conventional one generates voltage reference regarding an inverter as ideal amplifier. The problem with selecting the switching mode to output is formulated...
This paper presents a comparative study between two control strategies based on the sliding mode control theory applied to a switched DC-DC boost converter. A master-slave control structure is applied to the converter such that the inner control loop is a sliding mode current controller and the outer voltage controller is designed according to what follows. First a proportional-integral compensator...
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