Disturbance suppression for PMSM by a non‐linear composite controller based on two‐channel strategy

Abstract

A non-linear adaptive backstepping controller based on linear extend state observer (NABESO) is designed to track speed of PMSM. This study proposes a two-channel strategy which is applied for the online elimination of the influence of unknown load torque and parameters disturbances. According to the strategy, an adaptive controller is designed to eliminate the load torque and parameters disturbance of the first channel, and a linear extended state observer is chosen in a feedforward method to observe the internal time-varying parameters disturbance of the second channel as well as compensating the disturbances from the first channel. The proposed strategy can not only achieve online estimation of the load disturbance, but also suppress disturbances caused by the changes of all parameters, and to some extent, the negative transient response can also be avoided by abandoning traditional cascade control mode. Besides the functional advantages, the proposed controller is of pertinence and flexibility in parameters selection. Finally, the simulation and experimental results both display that the proposed strategy can effectively suppress the impact of internal and external disturbance on the PMSM control performance.

Backstepping Nonsingular Terminal Sliding Mode Control for PMSM With Finite-Time Disturbance Observer

“…To sum up, by combining the designed backstepping terminal sliding mode control laws ( 13), (18) and the finite-time disturbance observer (20), the reference voltage signals can be derived.…”

“…In [17], a discontinuous projection-based robust backstepping controller is proposed for the high-accuracy speed control of PMSM for wind turbines, and an extended state observer is designed to handle the disturbance. In [18], a composite controller based on backstepping control and linear extended state observer is designed, and the robustness for time-varying parameter disturbance is considered in the paper.…”

“…Recently, the disturbance estimation and attenuation methods [38], such as, disturbance observer [32,39], extended state observer [40], sliding mode observer [41] and finite-time disturbance observer [42], have been proposed to deal with the disturbance, which includes the matched and mismatched disturbance. In [17][18][43][44][45], the composite control strategies with backstepping control and disturbance attenuation technologies are designed for PMSM, and the estimated disturbance is used for the feedforward compensation control, the anti-disturbance ability can be improved. Meanwhile, the dynamic performance is almost unaffected.…”

Online multi‐parameter estimation of permanent magnet synchronous machine with step‐pulse injection

“…where k is the index of the discrete sampling instants in the estimation system. Stator resistance, rotor flux linkage and d-, q-axes inductances are parameters to be estimated in Equations (2). The other variables can be measured including electrical angular speed, d-, q-axes currents and voltages.…”

“…Due to the high power/torque density and high efficiency, permanent magnet synchronous machine (PMSM) has been used widely in the industrial servo drive, renewable energy generation system and electrical vehicle [1,2]. The machine parameters including the stator resistance, rotor flux linkage and d-, q-axes inductances are essential to fault diagnosis and high-performance control of PMSM [3][4][5][6].…”