Aplicação dos controles MPC com gradiente descendente e PI em um conversor TAB utilizado em powertrains de veículos elétricos

Abstract

The search for less polluting means of transport has intensified the research and promotion of electric vehicles (EVs). Unlike conventional vehicles, EVs have an electric power circuit composed of power electronic converters that together make up the battery charging system and the powertrain. These systems usually have different voltage levels, so it is attractive to use multiport converters. Among the various techniques used to control converters, the application of model predictive control (MPC) has recently become evident. The advantages of predictive control are the design based on plant equations, the ease of implementation, and good precision and accuracy. In MPC the search for the desired setpoint is performed by minimizing a cost function. In the present study, the minimization of the cost function is achieved using the gradient descent technique. Also, computer simulations performed on the Matlab/Simulink platform with multiport converters being controlled by MPC and MPC with gradient descent and a hybrid approach combining PI control and MPC-GD are presented, and the results are compared and discussed.