LGEP 2011 ID = 897International audienceThis paper presents a specific controller architecture devoted to obtain a permanent-magnet synchronous motor (PMSM) drive that is robust to mechanical sensor failure. In order to increase the reliability which is a key issue in industrial and transportation applications (electric or hybrid ground vehicle or aerospace actuators), two virtual sensors (a two-stage extended Kalman filter and a back-electromotive-force adaptive observer) and a maximum-likelihood voting algorithm are combined with the actual sensor to build a fault-tolerant controller (FTC). The observers are evaluated through simulation and experimental results. The FTC feasibility is proved through simulations and experiments on a 1.1-kW PMSM drive

The goal of this paper is to design a high performance speed controller for a PMSM drive. The controller is passivity based using the energy shaping technique namely Interconnection and Damping Assignment. Under some assumptions, a linear controller is derived associated to a non linear observer to estimate the load torque which is unknown. The important point developed in this paper is the proof of the global stability, which is mandatory in a drive especially in embedded or transportation applications where reliability is a key issue. Simulation and experimental results prove the feasibility of the approach.

This paper presents an efficient implementation of the extended Kalman estimator used for the estimation of position and rotor velocity of a permanent magnet synchronous motor. An algorithm proposed by C.S. Hsieh and F.C. Chen in 1999 for linear parameter estimation is extended to the non-linear estimation, where parameters such as position and velocity are present in the transition matrix and in the augmented state space. Compared to a straightforward implementation of the extended Kalman estimator in a standard implementation, our modified optimal two-stage Kalman estimator reduces the number of arithmetic operations, allowing higher sampling rate, the estimation of parameters or the use of a cheaper microcontroller.