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A Novel Adaptive Fuzzy Controller Approach of Brushless DC Motors without Hall and Position Sensors

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PL
Adaptacyjny regulator rozmyty w sterowaniu bezszczotkowym silnikiem DC bez czujnika Halla
Języki publikacji
EN
Abstrakty
EN
This paper presents a novel adaptive fuzzy controller approach of brushless DC motors (BLDCM) without hall sensors. The fuzzy controller adopts fuzzy logic to retune the PID parameters online. Based on the mathematical model of BLDCM introduced, a novel adaptive fuzzy control strategies have been designed in MATLAB/SIMULINK. The results have been recorded under various operating conditions. The simulation results showed that the fuzzy PID controller made much better performance than the traditional PID controller in speed responses and system performance.
PL
W artykule opisano nową metodę sterowania bez szczotkowym silnikiem DC bez czujnika Hall'a, z wykorzystaniem regulatora adaptacyjnego opartego na logice rozmytej. Algorytm na bieżąco dostraja nastawy regulatora PID. Badania symulacyjne maszyny, przeprowadzone w programie Matlab-Simulink, wykazały znaczne polepszenie odpowiedzi regulatora PID, dla zadanych zmian.
Rocznik
Strony
290--294
Opis fizyczny
Bibliogr. 19 poz., rys.
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autor
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Bibliografia
  • [1] S. P. H. Hidayat, “Performance Analysis of Adaptive Neuro Fuzzy Inference Systems (ANFIS) for Speed Control of Brushless DC Motor,” in International Conference on Electrical Engineering and Informatics, Bandung, Indonesia, July 2011, pp. 17-19.
  • [2] W. Chen and C. L. Xia, “Sensorless Control of Brushless DC motor Based on fuzzy logic,” in Processing of the 6th World Congress on Intelligent Control and Automation, July 2006, Dalian China, pp. 6298-6302.
  • [3] O. Scaglione, M. Markovic and Y. Perriard, “First-Pulse Technique for Brushless DC Motors Standstill Position Detection Based on Iron B-H Hysteresis,” IEEE Trans. Ind. Electron., May 2012, vol. 59(5), pp. 2319-2328.
  • [4] M. Villani, M. Tursini, G. Fabri and L. Castellmi, “High Reliability Permanent Magnet Brushless Motor Drive for Aircraft Application,” IEEE Trans. Ind. Electron., May 2012, vol. 59(5), pp. 2073-2081
  • [5] C. L. Iepure, I. Boldea and F. Blaabjerg, “Hybrid I-f Starting and Observer Based Sensorless Control of Signal Phase BLDC-PM Motor Drives,” IEEE Trans. Ind. Electron., 2011, available:
  • [6] J. Park, S. Hwang and J. Kim, “Sensorless Control of Brushless DC Motors with Torque Constant Estimation for Home Appliances,” IEEE Trans. Ind. Appli., 2011
  • [7] Y. Y. Wu, Z. Q. Deng, X. L. Wang, X. Ling and X. Cao, “Position Sensorless Control Based on Coordinate Transformation for Brushless DC Motor Drives,” IEEE Trans. Power Electron., Sept. 2010, vol. 25(9), pp. 2365-2371.
  • [8] J. Gao and Y. W. Hu, “Direct Self-Control for BLDC Motor Drives Based on Three-Dimensional Coordinate System,” IEEE Trans. Ind. Electron., Aug. 2010, vol. 57(8), pp. 2836-2844.
  • [9] J. B. Cao and B. G. Cao, “Fuzzy-Logical-Based Sliding-Mode Controller Design for Position-Sensorless for Electric Vehicle,” IEEE Trans. Power Electron., Oct. 2009, vol. 24(10), pp. 2368-2378.
  • [10] C. T. Lin, C. W. Hung, “Position Sensorless Control for Four-Switch Three-Phase Brushless DC Motor Drives,” IEEE Trans. Power Electron., Jan. 2008, vol.23(1), pp. 438-444.
  • [11] K. S. Rama Rao, Nagadeven, “Sensorless Control of a BLDC Motor with Back EMF Detection Method using DSPIC,” in 2nd IEEE International Conference on Power and Energy, Dec. 2008, Malaysia, pp. 243-248.
  • [12] S. A. Zabalawi and A. Nasiri, “State Space Modeling and Simulation of sensorless Control of Brushless DC motors Using Instantaneous Rotor Position Tracking,” in Conf. Vehicle Power and Propulsion 2007, Arlington, Sept. 2007, pp. 90-94.
  • [13] R. Somanatham, P. V. N. Prasad and A. D. Rajkumar, “Modeling and Simulation of Sensorless Control of PMBLDC Motor Using Zero-crossing Back E.M.F Detection,” in International Symposium on Power Electronics, Electrical Drives, Automation and Motion, May 2006, pp. 984-989.
  • [14] A. Rubaai and P. Young, “EKF-based PI-/PD-Like Fuzzy-Neural-Network Controller for Brushless Drives,” IEEE Trans. Ind. Appli., Nov./Dec. 2011, vol. 47(6), pp. 2391-2401.
  • [15] P. Devendra, G. Rajetesh, K. A. Mary and C. Saibabu, “Sensorless control of Brushless DC Motor Using Adaptive Neuro Fuzzy Inference Algorithm,” in 2011 International Conf. Energy, Automation, and Signal, Dec. 2011, pp. 1-5.
  • [16] D. R. Luo, W. Huang, S. D. Huang, W. Q. Li and L. Zheng, “Simulation Study of the Fuzzy-PID Control System for Brushless DC Motors,” in 2011 International Conf. Electrical Machines and System, Aug. 2011, pp. 1-4.
  • [17] M. L. Hu, J. Q. Qiu, and C. W. Shi, “A Comparative Analysis of Fuzzy PI and PI Speed Control in Brushless DC motor based on DSPACE,” in International Conf. Electrical Machines and Systems, Aug. 2011, pp. 1-5.
  • [18] T. C. Siong, B. Ismail, M. Mohd Faridun, A. R. Siti Rafidah and M. I. Zainuddin, “Study of Fuzzy and PI Controller for Permanent-Magnet Brushless DC Motor Drive,” in Proceedings of the 4th International Power Engineering and Optimization Conf., Shah Alam, Selangor, Malaysia, June 2010, pp. 617-521.
  • [19] A. Rubaai, M. J. C. Sititiche and A. R. Ofoli, “Design and Implementation of Parallel Fuzzy PID Controller for High-Performance Brushless Motor Drives: An Integrated Environment for Rapid Control Prototyping,” IEEE Trans. Ind. Appli., July/Aug. 2008, vol.44(4), pp. 1090-1098.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS1-0050-0087
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