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This work presents a control system used when the detailed parameter information of a plant in not available. Therefore, is useful to design a controller with an approximated model of the system, this is reachable through the use of parameter estimation based on the input and output signals. The estimation procedure is commonly developed with deterministic algorithms, avoiding the presented uncertainties and errors added to the system by the conditioning equipment. In this work we present an on line parameter computation, over systems that employs an error assumption in their model, the adaptive tuning of a PID controller using the Kalman filter in order to control the speed on an induction motor. Also, the control by the voltage-frequency in closed loop and the effectiveness of the control algorithm by the test developed on the asynchronous machine are described.

Control adaptativo de velocidad usando el filtro de kalman en un motor de inducción