Abstract
This paper addresses speed control of permanent magnet synchronous motor under load torque perturbations. The mathematical model is derived using park’s transformation. The load torque disturbance is considered unknown bounded, and states variables are available in feedback. In order to achieve robust speed performance, sliding mode control (SMC) is introduced. However, it is noted that conventional SMC does not provide satisfactory performance under load torque disturbances. To end this, a novel control strategy called disturbance observer SMC (DOSMC) is formulated. It includes an observer that offers a tool to vanish the effect of load torque. The DOSMC technique has two distinguished characteristics: first, the design gains are needed to be greater than the maximum limit of disturbance estimation error instead of disturbances, second; the proposed observer estimates load disturbances and provide a compensator to update sliding surface and control input. The stability analysis of overall control system is verified using Lyapunov theorem. Simulations in MATLAB/Simulink proves efficacy of the proposed scheme.
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References
Leonhard W (2001) Control of electrical drives. Springer, New York
Kim IN, Son YI (2017) A modular disturbance observer-based cascade controller for robust speed regulation of PMSM. J Electr Eng Technol 12(4):1663–1674
Ang KH, Chong G, Li Y (2005) PID control system analysis, design, and technology. IEEE Trans Control Syst Technol 13(4):559–576
Saleem Omer, Omer Urwa (2017) EKF-based self-regulation of an adaptive nonlinear PI speed controller for a DC motor. Turk J Electr Eng Comput Sci 25(5):4131–4141
Liu Heng, Li Shenggang, Cao Jinde, Li Guanjun, Alsaedi Ahmed, Alsaadi Fuad E (2017) Adaptive fuzzy prescribed performance controller design for a class of uncertain fractional-order nonlinear systems with external disturbances. Neurocomputing 219:422–430
Sung-Kwun Oh, Roh Seok-Beom (2010) The design of fuzzy controller based on genetic optimization and neurofuzzy networks. J Electr Eng Technol 5(4):653–665
Kim W, Chen X, Lee Y, Chung CC, Tomizuka M (2018) Discrete-time nonlinear damping backstepping control with observers for rejection of low and high frequency disturbances. Mech Syst Signal Process 104(1):436–448
Liu C, Zhang W (2017) Adaptive backs-tepping speed control for IPMSM with uncertain parameters. In: Proceedings of IEEE International Conference on Automation, Macau, China
Peng Chao-Chung, Li Yunze, Chen Chieh-Li (2011) A robust integral type backstepping controller design for control of uncertain non-linear systems subject to disturbance. Int J Innovative Comput Inf Control 7(5):2543–2560
Lascu C, Jafarzadeh S, Fadali MS, Blaabjerg F (2017) Direct torque control with feedback linearization for induction motor drives. IEEE Trans Power Electron 32(3):2072–2080
Lin C-K, Liu T-H, Yang S-H (2008) Nonlinear position controller design with input–output linearisation technique for an interior permanent magnet synchronous motor control system. IET Power Electron 1(1):14–26
Khan Owais, Pervaiz Mahmood, Ahmad Ejaz, Iqbal Jamshed (2017) On the derivation of novel model and sophisticated control of flexible joint manipulator. Revue Roumaine des Sciences Techniques-Serie Electrotechnique et Energetique 62(1):103–108
Shansi Zhang, Shuyuan Ma, Weiming Wang (2018) Sliding mode control based on disturbance observer for magnetic levitation positioning stage. J Electr Eng Technol 13(5):103–2124
Oveisi Atta, Nestorovićwais Tamara (2016) Robust observer-based adaptive fuzzy sliding mode controller. Mech Syst Signal Process 76:58–71
Das Buddhadeva, Mhaskar Prashant (2018) Adaptive output-feedback Lyapunov-based model predictive control of nonlinear process systems. Int J Robust Non-linear Control 28(5):1597–1609
Ahmad S, Ali N, Ayaz M, Ahmad E (2017) Design of robust fault detection filter using algorithm for a class of LTI systems. In: Proceedings of IEEE International Conference on Emerging Technologies, Islamabad, Pakistan
Errouissi Rachid, Ouhrouche Mohand, Chen Wen-Hua, Trzynadlowski Andrzej M (2012) Robust nonlinear predictive controller for permanent-magnet synchronous motors with an optimized cost function. IEEE Trans Ind Electron 59(7):2849–2858
Alam Waqar, Mehmood Adeel, Ali Khurram, Javaid Usman, Alharbi Soltan, Iqbal Jamshed (2018) Non-linear control of a flexible joint robotic manipulator with experimental validation. Strojniški vestnik-J Mech Eng 64(1):47–55
Mobayen Saleh, Baleanu Dumitru, Tchier Fairouz (2017) Second-order fast terminal sliding mode control design based on LMI for a class of non-linear uncertain systems and its application to chaotic systems. J Vib Control 23(18):2912–2925
Ali N, Alam W, Rehman AU, Pervaiz M (2017) State and disturbance observer based control for a class of linear uncertain systems. In: Proceedings of IEEE Frontiers of Information Technology Conference, Islamabad, Pakistan
Jeong Min-Gil, Choi Ho-Lim (2015) Switching control of electromagnetic levitation system based on jacobian linearization and input–output feedback linearization. Trans Korean Inst Electr Eng 64(4):578–585
Liu Yingying, Jinpeng Yu, Haisheng Yu, Lin Chong, Zhao Lin (2017) Barrier Lyapunov functions-based adaptive neural control for permanent magnet synchronous motors with full-state constraints. IEEE Access 5:10382–10389
Wibowo WK, Jeong S-k (2013) Genetic algorithm tuned PI controller on PMSM simplified vector control. J Central South Univ 20(11):3042–3048
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Ali, N., Ur Rehman, A., Alam, W. et al. Disturbance Observer Based Robust Sliding Mode Control of Permanent Magnet Synchronous Motor. J. Electr. Eng. Technol. 14, 2531–2538 (2019). https://doi.org/10.1007/s42835-019-00256-0
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DOI: https://doi.org/10.1007/s42835-019-00256-0