Abstract
Diode clamped multi-level inverter (DCMLI) has a wide application prospect in high-voltage and adjustable speed drive systems due to its low stress on switching devices, low harmonic output, and simple structure. However, the problem of complexity of selecting vectors and capacitor voltage unbalance needs to be solved when the algorithm of direct torque control (DTC) is implemented on DCMLI. In this paper, a fuzzy DTC system of an induction machine fed by a three-level neutral-point-clamped (NPC) inverter is proposed. After introducing fuzzy logic, optimal selecting switching state is realized by applying various strategies which can distinguish the grade of the errors of stator flux linkage, torque, the neutral-point potential, and the position of stator flux linkage. Consequently, the neutral-point potential unbalance, the dv/dt of output voltage and the switching loss are restrained effectively, and desirable dynamic and steady-state performances of induction machines can be obtained for the DTC scheme. A design method of the fuzzy controller is introduced in detail, and the relevant simulation and experimental results have verified the feasibility of the proposed control algorithm.
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Shu-Xi Liu received the M. Sc. degree in electrical engineering from Chongqing University, PRC in 2005. He is currently a Ph.D. candidate in Chongqing University, PRC. He is also an associate professor in the Department of Electrical Engineering and Automation at Chongqing University of Technology, PRC.
His research interest includes intelligent drive control technology.
Ming-Yu Wang received the B.Eng. degree in electrical engineering from Chongqing University, PRC in 1982 and the Ph.D. degree from the Liverpool John Moores University, UK in 1999. He became a member of the Academic Staff, Department of Automation Engineering, Chongqing University in 1982 and was a lecturer there from 1988 to 1993. He was a visiting scholar in the Department of Electrical Engineering, University of Manchester, UK from 1993–1995. He is currently a professor with Chongqing University.
His research interests include power converters, power filters, adjustable speed drives, and vector control of induction machines.
Yu-Guang Chen received the B.Eng. degree in electrical engineering from Chongqing University, PRC and the M. Eng. degree in mechanical engineering from Xi’an Jiaotong University, PRC. He was a visiting scholar in the School of Science and Technology, Teesside Polytechnic, UK during 1990–1992.
He is currently a professor in Chongqing University of Technology, PRC.
His research interests include intelligent control theory and application.
Shan Li received the B. Sc. degree in electrical engineering from Hunan University, PRC in 1985 and the M. Sc. degree in Shaanxi Mechanics College, PRC in 1992. He is currently a professor in Chongqing University of Technology, PRC.
His research interests include power electronics and motion control.
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Liu, SX., Wang, MY., Chen, YG. et al. A novel fuzzy direct torque control system for three-level inverter-fed induction machine. Int. J. Autom. Comput. 7, 78–85 (2010). https://doi.org/10.1007/s11633-010-0078-7
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DOI: https://doi.org/10.1007/s11633-010-0078-7