Hybrid adaptive control for speed regulation of an induction motor drive

• Autorzy: Halbaoui, K. , Boudjema, F. , Boukhetala, D.
• Języki publikacji: EN

Abstrakty

EN

Model Reference Adaptive Control (MRAC) techniques may be used in high performance applications of nduction-motor (IM) drives to minimize adverse effects from changes in the load conditions and/or system parameters. Although the MRAC technique accounts for uncertainties and/or inaccuracies of the motor and load parameters in the design stage, its implementation on an nteger-based Digital Signal Processor (DSP) has several difficulties associated with the large dynamic range of the covariance matrix and the finite length of the DSP word. This paper investigates new form of a hybrid model reference adaptive speed control (HMRAC) to adapt the closed loop system including the plant with variation parameter to match with the reference model. The adaptive analog controller consists of a set of analog gain controller and a switching controller. The switching controller selects a controller from the set of analog controllers and connects it into the closed loop controlled system suitably. The duty rate of each analog controller will adapt the closed loop controlled system to be coincided with a reference model in reasonable sense. The importance of the hybrid controller is demonstrated by intensive experimental results. It is shown that the presented HMRAC for IM drive has fast tracking capability, smaller steady state error and is robust to load disturbance.

Słowa kluczowe

EN

induction motor; field oriented control; hybrid control; MRAC

• Czasopismo: Archives of Control Sciences
• Rocznik: 2009
• Tom: Vol. 19, no. 2
• Strony: 151-164
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Halbaoui, K.

autor

Boudjema, F.

autor

Boukhetala, D.

• Power Electronics Laboratory, Nuclear Research Center of Brine, Algeria),

Bibliografia

• [1] R. KRISHMAN and F. C. DORAN: Study of parameter sensitivity in high-performance inverter-fed induction motor drive system. IEEE Trans, on Industry AppL, 23(4), (1987), 623-635.
• [2] R. KRISHMAN and P. PILLAY: Sensitivity analysis and comparison of parameter compensation scheme in vector controlled induction motor drives. Conf. Rec. of the 1986 IEEE-IAS Annual Meeting, (1986), 155-161.
• [3] R. KRISHMAN and P. PILLAY: Parameter sensitivity in vector controlled AC motor drives. IEEE IECON, (1987), 252-268.
• [4] B. K. BOSE: Power electronics and motion control - Technology status and recent trends. IEEE Trans, on Industry AppL, 29(5), (1993), 902-909.
• [5] D. BOUKHETALA, K.HALBAOUI and F.BOUDJEMA: Design and implementation of a self-tuning adaptive controller for induction motor drives. Int. Review ofElec-trical Engineering, 1(2), (2006).
• [6] E. MOSCA, F. CAPECCHI and A. CASAVOLA: Designing predictors for MIMO switching supervisory control. Int. J. Adaptive Control Signal Process. (Special Issue on Switching and Logic), 15(3), (2001), 265-286.
• [7] F. M. PAIT and F. KASSAB JR: On a class of switched, robustly stable, adaptive systems. Int. J. Adaptive Control Signal Process. (Special Issue on Switching and Logic), 15(3), (2001), 213-238.
• [8] D. MILLER and EJ. DAVISON: An adaptive controller which provides an arbitrary good transient and steady-state response. IEEE Trans. Automat. Control, 36(1), (1991), 68-81.
• [9] E. B. KOSMATOPOULOS and P. IOANNOU: A switching adaptive controller for feedback linearizable systems. IEEE Trans. Automat. Control, 44(4), (1999), 742-750.
• [10] J. HOCKERMAN-FROMMER, S.R. KULKARNI and P.J. RAMADGE: Controller switching based on output prediction errors. IEEE Trans. Automat. Control, 43(5), (1998), 596-607.
• [11] D. LIBERZON, J.P. HESPANHA and A.S. MORSE: Hierarchical hysteresis switching. In Proc of the 39th IEEE Conf. on Decision and Control, Sydney, Australia, (2000), 484-489.
• [12] A. S. MORSE: Supervisory control of families of linear set-point controllers -Part 1: exact matching. IEEETrans. Automat. Control, 41(10), (1996), 1413-1431.
• [13] M. Fu and B.R. BARMISH: Adaptive stabilization of linear systems via switching control. IEEE Trans. Automat. Control, 31 (1996), 1097-1103.
• [14] Wu FENG, LlU WENHUANG and ZHENG YlNGPlNG: Hybrid system methodol-ogy and its application in process control systems. J. of Tsinghua University (Sci. & Tech.), 37(11), (1997), 77-81.
• [15] CHUNHUA GAO, XIANHUI HE, HUI WANG and PING LI: Modeling, safety veri-fication and optimization of operating procedures in process systems using hybrid Petri nets. In Proc. Systems Man and Cybernetics, Conf., (1999), 854-859.
• [16] P. MARINO, M. MILANO and F. VASCA: Linear quadratic state feedback and ro-bust neural network estimator for field-oriented-controlled induction motors. IEEE Trans. Ind. Electron., 46 (1999), 150-161.
• [17] O. BARAMBONES and A.J. GARRIDO: A sensorless variable structure control of induction motor drives. Electr. Power Syst. Res., 72 (2004), 21-32.
• [18] CE. HUANG, T.C. CHEN and CL. HUANG: A microcomputer-based induction motor drives with current and torque control. IEEE Trans. Energy Convers., 14 (1999),874-880.
• [19] CM. LIAW and F.J. LIN: A robust speed controller for induction motor drives. IEEE Trans. Ind. Electron., 41 (1994), 308-315.