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This paper presents an adaptive sliding self-organizing fuzzy controller (ASSOFC) designed using fuzzy theory and a self-organizing algorithm. Composed of a conventional fuzzy controller (FC) and self-organizing algorithm, the ASSOFC adopts the sliding surface signal as an input, uses the algorithm to adjust the central position of the output consequent membership function of the FC, and, by fuzzy...
Based on the Takagi-Sugeno-Kang (TSK) fuzzy controller and adaptive control theory, this study presents the design of an adaptive TSK fuzzy controller (ATSKFC). With an online learning function, this controller is an improvement on the traditional PI controller, whose parameters are fixed. An improved model for a compensating controller is also proposed to address the problems caused by the fixed...
Torque pulsations exist in ring permanent torque motors, which seriously degrade the drive performance of system at low speeds. In view of the periodic nature of torque ripple, adopt fuzzy iterative learning control (F-ILC) controller to minimize the torque ripple. It records the torque error and the compensating reference current of last cycle to update the compensating reference current of this...
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