To improve the speed control performance of the permanent magnet synchronous motor (PMSM) drive system, a sliding mode control strategy based on variable parameter reaching law (VPRL) and adaptive disturbance observer is proposed. The VPRL introduces state variables into the conventional exponential reaching law (CERL) and designs a power term function related to the arctangent function. In response to the issue of poor performance in traditional Luenberger disturbance observers (LDOB), by introducing an adaptive function that represents the relationship between system state variables and parameters into the traditional LDOB, an adaptive Luenberger disturbance observer (ALDOB) is proposed to estimate and compensate for the total disturbances in the system. Simulations and experiments demonstrate that the proposed sliding mode control strategy significantly improves both the dynamic performance and robustness of the PMSM.
BartoszewiczALatosińskiP (2018) Generalization of Gao’s reaching law for higher relative degree sliding variables. IEEE Transactions on Automatic Control63: 3173–3179.
2.
BodurFKaplanO (2023) A novel sliding mode control based on super twisting reaching law for PMSM speed controller with fixed-time disturbance observer. In: 2023 12th international conference on renewable energy research and applications (ICRERA), Oshawa, ON, 29 August–1 September 2023, pp. 1–6. New York: IEEE.
3.
DengY-TLiuJLiH-W, et al. (2020) Control system of 4 meters telescope based on segmented permanent magnet arc synchronous motor. Optics and Precision Engineering28: 591–600.
4.
FengQDongXLiuY (2024) A novel reaching law of PMSM fuzzy adaptive terminal sliding mode control. Journal of Electrical Engineering18: 74–83.
5.
GuezmilABerririHSaklyA, et al. (2015) High order sliding mode and an unknown input observers: Comparison with integral sliding mode control for induction machine drive. In: 2015 7th international conference on modelling, identification and control (ICMIC), Sousse, 18–20 December 2015, pp. 1–6. New York: IEEE.
6.
HeLWangFWangJ, et al. (2019) Zynq implemented Luenberger disturbance observer based predictive control scheme for PMSM drives. IEEE Transactions on Power Electronics35: 1770–1778.
7.
JunejoAKXuWMuC, et al. (2018) Improved continuous fast terminal sliding mode control for speed regulation of surface-mounted permanent magnet synchronous motor. In: 2018 21st international conference on electrical machines and systems (ICEMS), Jeju, 7–10 October 2018, pp. 93–98. New York: IEEE.
8.
KomurcugilHBayhanSGulerN, et al. (2022) A new exponential reaching law approach to the sliding mode control: A multilevel multifunction converter application. IEEE Transactions on Industrial Electronics70: 7557–7568.
9.
LeeKHongSOhJ-H (2020) Development of a lightweight and high-efficiency compact cycloidal reducer for legged robots. International Journal of Precision Engineering and Manufacturing21: 415–425.
10.
LiuXDengYLiH, et al. (2024a) Composite control based on FNTSMC and adaptive neural network for PMSM system. ISA Transactions151: 198–211.
11.
LiuXDengYWangJ, et al. (2024b) Fixed-time generalized active disturbance rejection with quasi-resonant control for PMSM speed disturbances suppression. IEEE Transactions on Power Electronics39: 6903–6918.
12.
MishraJPYuXJaliliM, et al. (2016) On fast terminal sliding-mode control design for higher order systems. In: IECON 2016-42nd annual conference of the IEEE industrial electronics society, Florence, 23–26 October, pp. 252–257. New York: IEEE.
13.
MuCHeH (2017) Dynamic behavior of terminal sliding mode control. IEEE Transactions on Industrial Electronics65: 3480–3490.
14.
SamantarayJChakrabartyS (2024) Discrete-time sliding mode control with inverse hyperbolic sine reaching law. Journal of the Franklin Institute361: 107108.
15.
SunGMaZYuJ (2017) Discrete-time fractional order terminal sliding mode tracking control for linear motor. IEEE Transactions on Industrial Electronics65: 3386–3394.
16.
YimJYouSLeeY, et al. (2022) Chattering attenuation disturbance observer for sliding mode control: application to permanent magnet synchronous motors. IEEE Transactions on Industrial Electronics70: 5161–5170.
17.
ZhangXZhaoKSunL (2011) A PMSM sliding mode control system based on a novel reaching law. In: 2011 international conference on electrical machines and systems, Beijing, China, 20–23 August, pp. 77–82. New York: IEEE.
18.
ZouWShiTGuoJ, et al. (2023) A novel adaptive fuzzy control scheme for a class of nonlinear planar systems under state constraints. IEEE Transactions on Circuits and Systems II: Express Briefs71: 827–831.
19.
ZuoYLaiCIyerKLV (2023) A review of sliding mode observer based sensorless control methods for PMSM drive. IEEE Transactions on Power Electronics38: 11352–11367.
