Algoritmo preditivo baseado em modelo aplicado ao controle de velocidade do motor de indução / Speed control of induction motor using predictive algorithm

AUTOR(ES)
DATA DE PUBLICAÇÃO

2007

RESUMO

This thesis presents the results concerning the control of rotor flux and speed of the induction motor using MBPC strategy, which is based on the error minimization between the future set point and model prediction, resulting in control signals. In the case studied in this thesis the motor model is described in space-state. The non linear MBPC emploies search algorithms to find the control signals, whereas the technique used in this thesis made sucessives linearizations on model; therefore in every control cicle a new algebraic control lay is found. The predictive control needs to know the stator voltage and the following state variables: stator current, rotor flux and speed. In the order to estimate the states an extended Kalman filter is employed. The load torque is considered as a disturbance and its amplitude is obtained in two ways: by calculation via eletromechanical equation and by estimation via Kalman filter. The proposal has been validated by imulations and experiments

ASSUNTO(S)

maquinas eletricas de indução controle preditivo electric driving acionamento eletrico induction machinery predictive control induction motor

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