• DocumentCode
    64839
  • Title

    An Improved Direct Adaptive Fuzzy Controller of an Uncertain PMSM for Web-Based E-Service Systems

  • Author

    Chunjie Zhou ; Duc-Cuong Quach ; Naixue Xiong ; Shuang Huang ; Qi Zhang ; Quan Yin ; Vasilakos, Athanasios V.

  • Author_Institution
    Sch. of Autom., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    23
  • Issue
    1
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    58
  • Lastpage
    71
  • Abstract
    Web-based systems have enjoyed tremendous growth in both theory and applications. They are highly visible and influential realizations of user-oriented technology supporting numerous human pursuits realized across the e-service. In this paper, we focus on web-based e-service systems for the permanent magnet synchronous motor (PMSM) remote control. These systems can provide web services for updating factors and the fuzzy law of Takagi-Sugeno fuzzy, when the PMSM devices are required. This paper designs the controller of the PMSM with uncertain inertia and friction factors working under load noise in Web-based e-service systems. This controller is based on rotor field-oriented control (RFOC) structures, internal model control (IMC), and improved direct adaptive fuzzy (IDAF). In order to enhance the transient quality for the case of uncertain inertia and friction factors, we use the IDAF algorithm for the outer loop (speed loop). The IDAF is designed based on the direct adaptive fuzzy algorithm combined with the G-Fuzzy system for adjusting online updating adaption factors. The essence of IDAF is a self-learning and self-adaption system with enhanced adaptive ability through the G-Fuzzy system. For the inner loop (current loop), an improved IMC (IIMC) structure is proposed to reduce the effect of load noise. The IIMC combines the tradition IMC and a speed feedback loop to enhance the antiload noise ability of the system. The difference between our control structure and the traditional control structure is that the system could automatically realize antiload noise in the inner loop before adjusting the speed in the outer loop. This will create really high performances for PMSM control systems. We also demonstrate the effect of this control algorithm on PMSM-RFOC system control. The extensive simulation results demonstrate that the current response satisfies the condition of ability and settling time. Especially, the antiload noise ability and transient quality of the s- stem are controlled independently. Thus, it is a solid foundation upon which to develop a high-quality PMSM electric drive in the e-service.
  • Keywords
    Web services; adaptive control; control engineering computing; fuzzy control; industrial control; permanent magnet motors; synchronous motors; telecontrol; uncertain systems; G-fuzzy system; IDAF; IMC; RFOC structures; Takagi-Sugeno fuzzy; Web-based e-service systems; direct adaptive fuzzy controller; friction factors; improved direct adaptive fuzzy; internal model control; permanent magnet synchronous motor; rotor field-oriented control; self-adaption system; self-learning system; uncertain PMSM remote control; uncertain inertia; user-oriented technology; Adaptive systems; Control systems; Mathematical model; Noise; Torque; Transfer functions; Transient analysis; Adaptive control; E-service; fuzzy set technology; permanent magnet synchronous motor (PMSM); web based;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2014.2315675
  • Filename
    6783717