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Position and speed estimation of a stepping motor as an actuator of diesel engine fuel rack

This paper illustrates one efficient method for permanent magnet synchronous motor - PMSM position and speed estimation using Extended Kalman filter - EKF. This is very important, especially in case of faulty sensors. The Extended Kalman Filter is an optimal recursive estimation algorithm for nonlinear systems. Marine diesel engine is a very complex, nonlinear dynamic system. Therefore, it is very important to control the engine shaft torque and power in all circumstances and working conditions. This paper, in short, includes a description of the standard Kalman Filter and its algorithm with the two main steps, the prediction step and the correction step. Furthermore the Extended Kalman Filter is discussed as a nonlinear system. The objective of this paper is to present implementation of Extended Kalman Filter for estimation of the PMSM rotor position and speed in case of faulty sensors by using measurements of the motor currents only. Simulation has been conducted in MATLAB programming environment. Achieved results of the simulation have shown that the PMSM rotor position and speed are estimated sufficiently well for the purpose of marine diesel engine fuel rack position control in the main engine speed control loop.

marine diesel engine ; fuel actuator ; PMSM ; estimation ; Kalman filter

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