Development of a Self-Tuning Fuzzy Controller through Relay Feedback Approach

Pal, A. K.; Mudi, Rajani K.

doi:10.1007/978-3-642-25734-6_67

Cited by 3 publications

(2 citation statements)

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“…So the output SF should be determined very carefully for the successful implementation of a FLC. Depending on the input error (e) and change of error (LIe) of a process, an expert operator always tries to modify the controller gain, i.e., output SF, to enhance the system performance and to improve the stability robustness [11][12][13][14][15][16][17]. Following such an operator's policy, here, we suggest a simple self-tuning scheme of Fuzzy PD Controller (FPDC), where an online gain modifier (/3) is determined from the relation, p=3(l+a).…”

Section: Proposed Controller Designmentioning

confidence: 99%

“…But, the tuning of a large number of FLC parameters can be a time-consuming, expensive and difficult task. Such problems may be eliminated by adopting self-tuning or adaptive schemes [11][12][13][14][15][16]. 10 our proposed controller, a simple self-tuning scheme is used to continuously update the controller gain with the help of process error and change of error.…”

Section: Introductionmentioning

confidence: 99%

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An adaptive fuzzy controller for overhead crane

Pal¹,

Mudi

2012

2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT)

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An adaptive Fuzzy PD controller (AFPDC) is proposed in this paper. Output scaling factor (SF) of the proposed fuzzy controller is updated according to the process trend by a fuzzy gain modifier, which is determined by error and change of error of the system. Effectiveness of the proposed AFPDC is demonstrated on a laboratory scale overhead crane. Moving a suspended load along a pre-specified path is not an easy task when strict specifications on the swing angle and transfer time need to be satisfied. In this study, twin adaptive fuzzy controllers are designed to control the trolley position of the crane and swing angle of the load. The proposed adaptive scheme guarantees a fast and precise load transfer and the swing suppression during load movement, despite of model uncertainties.

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