An error-based on-line rule weight adjustment method for fuzzy PID controllers

Karasakal, Onur; Güzelkaya, Müjde; Eksin, İbrahim; Yeşil, Engin

doi:10.1016/j.eswa.2011.02.070

Cited by 34 publications

(12 citation statements)

References 23 publications

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“…According to this, a fuzzy speed controller is used for winding angle control, and a differential controller is used for winding point position control [15]. All input and output variables are described by five triangular membership functions, {MB, MS, Z, S, B}, which means {minus big, minus small, zero, small, big}, shown in Figure 11.…”

Section: Design Of the Flexible Winding Speed Control Systemmentioning

confidence: 99%

Research on Fuzzy Control Based Flexible Composite Winding System

Shi

Kang

2016

Advances in Fuzzy Systems

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In the process of composite resin prepreg tape winding, the presence of pores or voids among the layers of composite can result in reduced strength of winding. To alleviate this problem, it is required that the composite tape winding machines be designed such that the layers of composite are evenly wound on the previous one. The paper presents a novel design of flexible winding system for composite tape winding. Based on the analysis of errors in winding process, the novel winding system eliminates winding point error and winding angle error based on the speed controlled flexible roller. This paper also presents the kinetic analysis of the novel system and its controller design. Experiments are conducted on the novel winding system. The experimental results illustrate that the novel flexible winding system has a good performance in winding accuracy.

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Section: Design Of the Flexible Winding Speed Control Systemmentioning

confidence: 99%

Research on Fuzzy Control Based Flexible Composite Winding System

Shi

Kang

2016

Advances in Fuzzy Systems

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“…It was first proposed by M. Güzelkaya in 2003 [6] and has been used in many research works [13][14][15].…”

Section: Pid Type Fuzzy Controller Via Relative Rate Observer (Ptfcrro)mentioning

confidence: 99%

Optimization of a self-tuning PID type fuzzy controller and a PID controller for an inverted pendulum

Ahmadi

Rahim

2014

Journal of Intelligent &Amp; Fuzzy Systems

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By relating to the conventional PID and PID type fuzzy, an optimized PID type fuzzy controller and an optimized PID controller are designed for an inverted pendulum with two outputs. The optimized PID type fuzzy tunes its scaling factors on line. The optimization is done by imperialist competitive algorithm (ICA). The simulation results show a better performance in overshoot, settling time, rise time, integral absolute error, and robustness in compared to the conventional and self-tuning designs.

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“…Aydogan et al [14] propose a hybrid heuristic approach based on genetic algorithm and integer-programming formulation to solve high-dimensional classification problems in linguistic fuzzy rule-based classification systems. A new error-based method is proposed by Karasakal et al [15] for the adjustment of fuzzy rule weights of the fuzzy PID controllers in an on-line manner. Classical association rule extraction framework on fuzzy datasets brings about unmanageably highly sized association rule sets.…”

Section: Introductionmentioning

confidence: 99%

A novel optimal fuzzy integrated control method of active suspension system

Wang

Song

Chen

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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A novel optimal fuzzy integrated control method is proposed and used to a half-car model with active suspension system. The cultural algorithm improved by the use of a dynamic acceptance function associated with niche algorithm is presented to optimize the fuzzy control rules with 4 input variables and 2 output variables. The vertical and rolling vibration accelerations of the bodywork are selected as an integrated control objective by using a fitness function. The simulation results of control system demonstrate that there are evident reductions in both vertical vibration acceleration and rolling angle acceleration if fuzzy control rules are optimized by the modified cultural algorithm and then applied to the active suspension system. It is simultaneously shown that the vertical displacement and rolling angle displacement also experience reduction processes. All of the numerical analyses give enormous supports to use of the proposed control scheme.

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An error-based on-line rule weight adjustment method for fuzzy PID controllers

Cited by 34 publications

References 23 publications

Research on Fuzzy Control Based Flexible Composite Winding System

Research on Fuzzy Control Based Flexible Composite Winding System

Optimization of a self-tuning PID type fuzzy controller and a PID controller for an inverted pendulum

A novel optimal fuzzy integrated control method of active suspension system

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