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1、外文翻譯Linear Matrix Inequality-Based Fuzzy Control for Interior Permanent Magnet Synchronous Motor with integral sliding mode controlFaGuang Wang, Seung Kyu Park, Ho Kyun AhnDepartment of Electrical Engineering, Changwon N

2、ational University, KoreaAbstract--Recently, interior permanent magnet synchronous motor (IPMSM) is widely used in various applications, such as electric vehicles and compressors. It has a high requirement in wide load v

3、ariations, high speed condition, stability, providing a fast response and most important thing is that it can be applied easily and efficiently. However, the control of IPMSM is more difficult than surface permanent mag

4、net synchronous motor (SPMSM) because its nonlinearity due to the non-zero daxis current which can be zero in SPSM but not IPMSM. In this paper, the IPMSM is controlled very efficient algorithm by using the combination

5、of linear control and fuzzy control with linear models depending on certain operating points. The H∞ linear matrix inequality (LMI) based integral sliding mode control is also used to ensure the robustness. The membersh

6、ip functions of this paper are easy to be determined and implemented easily. Index Terms--Fuzzy control, H∞ control, integral sliding mode control, interior permanent magnet synchronous motor (IPMSM), linear matrix ine

7、quality.I. INTRODUCTIONFrom 1980s’, with the development of semiconductor, IPMSM supplied by converter source has been widely studied [1] [2]. The development of microcomputer made the vector control system of IPMSM we

8、ll controlled by single chip. IPMSM possesses special features for adjustable-speed drives which distinguish it from other classes of ac machines, especially surface permanent magnet synchronous motor. The main criteria

9、 of high performance drives are fast and accurate speed response, quick recovery of speed from any disturbances and insensitivity to parameter variations [3]. In order to achieve high performances, the vector control of

10、 IPMSM drive is employed [4]-[6]. Control techniques become complicated due to the nonlinearities of the developed torque for non-zero value of d-axis current. Many researchers have focused their attention on forcing t

11、he daxis current equals to zero in the vector control of IPMSM drive, which essentially makes the motor model linear [4],[7]. However, in real-time the electromagnetic torque is non-linear in nature. In order to incorpo

12、rate the nonlinearity in a practical IPMSM drive, a control technique known as maximum torque per ampere (MTPA) is devised which provides maximum torque with minimum stator current [3]. This MTPA strategy is very impo

13、rtant from the limitation of IPMSM and inverter rating points of view, which optimizes the drive efficiency. where and μi(z(t)) is themembership for every fuzzy rule.From (1) we get(7)Take (6) into (7), we can get the c

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