Adaptive enhanced sliding mode control for permanent magnet synchronous motor drives

Abstract

An adaptive enhanced sliding mode control (AESMC) scheme for the position tracking control of permanent magnet synchronous motor drives is proposed in this paper. The AESMC system is composed of three controllers: the adaptive model compensation controller, which is used to compensate for the parameter perturbations to achieve perfect tracking; the hitting controller, which is considered to attenuate the effect of external load disturbance and the compensation error; and the robust feedback controller, which is used to enhance the stability of the closed-loop system and to improve the transient performance while the AESMC is in the learning process. Moreover, the bound of the lumped disturbance is assumed to be unknown, and an adaptive mechanism is investigated to estimate this bound. Simulation results show that the proposed AESMC scheme has a favorable tracking performance in spite of various model uncertainties.

Adaptive fuzzy gain‐varying finite‐time command filtered backstepping control for permanent magnet synchronous motors with mismatched disturbances

“…For the system described by (1) with Assumptions 1 and 2. If the target signal x d , the finite-time command filter (6), error compensation signals (10), (18), and (24), virtual control laws ( 9), (17), real control laws u q , u d and adaptive laws (34) are designed, it can be proved the tracking errors converge to a sufficiently small neighborhood of the origin in finite time and all signals in the closed-system are bounded in finite time.…”

“…Besides, the PMSMs systems are associated with load disturbances and time-varying parameters. Therefore, in order to get desirable control performance for PMSMs systems in practical application, the researchers have applied many advanced nonlinear control technologies to PMSMs systems including PI control, 2,3 backstepping control, [4][5][6][7] sliding mode control, [8][9][10] and other control algorithms. [11][12][13][14][15] In these new control methods, the backstepping control has provided an effective way to design controllers for PMSMs systems.…”