Hybrid fuzzy bang-bang mode controller for electric motor drives applications

Rubaai, A.; Jerry, Jan

doi:10.1109/ias.2011.6074336

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…Although fuzzy logic is commonly applied to the field oriented control of induction motors, the fuzzification, defuzzification, and decision procedures that establish a knowledge base are more complicated, difficult and time-consuming. Moreover, although some studies [2]- [6] have been performed in this area, most, if not all, are based on conventional trial-and-error techniques. However, optimal performance may not be achieved.…”

Section: Introductionmentioning

confidence: 99%

Speed Load Control of Induction Motor Using Immune Algorithm and Fuzzy Phase Plane Controller

Chiang¹

2014

IJET

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Abstract-This paper proposes a speed load control of induction motor using immune algorithm (IA) and fuzzy phase plane controller. Fuzzy membership functions, phase plane theory and the IA are employed to design the proposed controller (FPPC) for controlling the speed of an induction motor with loading, based on the desired specifications. The proposed FPPC has merits of rapid response, simply designed fuzzy logic control and an explicitly designed phase plane theory. Simulations and experimental results reveal that the proposed FPPC is superior in optimal speed and load control to conventional PI controller.Index Terms-Fuzzy phase plane, immune algorithm, speed load control.

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Section: Introductionmentioning

confidence: 99%

Speed Load Control of Induction Motor Using Immune Algorithm and Fuzzy Phase Plane Controller

Chiang¹

2014

IJET

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“…Recently, several topics of advanced control are applied in motion controller such as a modified fuzzy logic control in automotive system [8], fuzzy PID with feed-forward control strategy in CNC machine [9] [10], fuzzy PI/PD-based control scheme in tracking applications including disturbance rejection and external loading [11] [12], self-tuning fuzzy PID through continuous updating approach of output scaling factor [13], a hybrid fuzzy bang-bang controller to improve the motor behavior [14] [15] or fuzzy PID with a class of gain matrices depending on the manipulator states [16].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of FFPIV Scheme for Closed Loop Motion Controller

Ngo¹,

Choi²,

Kim³

2014

ICA

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To satisfy the requirements of motion control for industrial machine, a multi-axis motion controller based on DSP is developed in this paper. The motion controller consists of DSP which plays a main role in this design; DPRAM to make sure the rapid and reliable communication with host; FPGA to handle the task of address decoder and receiving feed-back encoder signal; and several peripheral logic circuits. In the part of hardware design, overall structure of motion control system is presented. Then, the Feed-Forward Proportional-Integral-Velocity (FFPIV) scheme which introduces KV in term of velocity loop to achieve the accurate, smooth and real-time response is proposed in the software developing part. The experiment data are carried out to indicate that this motion controller has advantages of superior performance and highly machining precision.

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Investigation of intelligent robust controller for a position control system

Jha

Dass

2014

2014 6th IEEE Power India International Conference (PIICON)

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Hybrid fuzzy bang-bang mode controller for electric motor drives applications

Cited by 6 publications

References 17 publications

Speed Load Control of Induction Motor Using Immune Algorithm and Fuzzy Phase Plane Controller

Speed Load Control of Induction Motor Using Immune Algorithm and Fuzzy Phase Plane Controller

Design and Implementation of FFPIV Scheme for Closed Loop Motion Controller

Investigation of intelligent robust controller for a position control system

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