Model-Based Predictive Controller design applied to the
Split Source converter Inverter connected to the power grid
This work proposes the approach of some techniques of Predictive Control connected to the electric network
and two types will be simulated for the qualitative evaluation of electrical energy, which are: Controller
of the type Finite Set Control and the Model of a Predictive Controller applied to a converter of the type
Split Source Inverter (SSI). This controller employs a methodology that consists of designing a
two-phase circuit by inserting an inductor into the three-phase frequency converter. In addition,
presented the criteria for choosing values that the cost function, which should return output values
within the requirements established by the control law to be adopted, through the prediction of the data in
simulations in Simulink, considering the following parameters: response to the step, salient, time
up and behavior of the output of the currents and power in steady state, for both
converters. In this way, it is possible to evaluate the controller performance when the generator operates with
values, introducing power steps, as a function of the simulation time. The
partial results will show the validity of the models, which will be developed when designing the
dissertation work, its applicability to reluctance engines will be verified.