Fuzzy self-tuning of PID controllers

He, Shiyi; Tan, Shaohua; Xu, Feng-Lan; Wang, Peizhuang

doi:10.1016/0165-0114(93)90183-i

Cited by 206 publications

(63 citation statements)

References 1 publication

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“…There are varied prominent studies in self-tuning PID field. Supervisory control or self-tuning can be executed via different methods, for instance optimization based [21][22][23], fuzzy-logic mechanism [24,25], neural networks [26,27]. In this paper, for the first time in the literature and beside of mentioned self-tuning PID strategies, the self-tuning PI controller via FCM method is proposed.…”

Section: A Brief Overview Of Fuzzy Cognitive Mapsmentioning

confidence: 99%

Self-tuning PI Controllers via Fuzzy Cognitive Maps

Yeşil

Dodurka

Sakalli

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. In this study, a novel self-tuning method based on fuzzy cognitive maps (FCMs) for PI controllers is proposed. The proposed FCM mechanism works in an online manner and is activated when the set-point (reference) value of the closed loop control system changes. Then, FCM tuning mechanism changes the parameters of PI controller according to systems' current and desired new reference value to improve the transient and steady state performance of the systems. The effectiveness of the proposed FCM based selftuning method is shown via simulations on a nonlinear system. The results show that the proposed self-tuning methods performances are satisfactory.

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Section: A Brief Overview Of Fuzzy Cognitive Mapsmentioning

confidence: 99%

Self-tuning PI Controllers via Fuzzy Cognitive Maps

Yeşil

Dodurka

Sakalli

et al. 2013

IFIP Advances in Information and Communication Technology

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“…On the other hand, adaptive FLCs that alter the rules are called self-organizing controllers [3]. These two types of fuzzy logic controllers have been developed [4][5][6][7][8][9][10][11] and implemented for various practical processes. Of the various tunable parameters, SFs have the highest priority due to their global effect on the control performance because changing the SFs changes the normalized universe of discourse, the domains, and the membership functions of input/output variables of FLC [3].…”

Section: • the If-then Rulesmentioning

confidence: 99%

Self-Tuning Fuzzy PI Controller (STFPIC)

Hameed¹

2015

Fuzzy Logic - Tool for Getting Accurate Solutions

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“…Paramasivam and Arumugam [17] and Ketata et al [18] have proposed different methods of designing a hybrid control structure using fuzzy logic system. He et al [19] and Visioli [20] have used the fuzzy system in such a way to modify the parameters of the conventional controller. The hybrid control structure consists of a simple upper-level intelligent controller and a lower-level classical controller.…”

Section: Design Of a Fuzzy Coordinated Pi Controllermentioning

confidence: 99%

Fuzzy Coordinated PI Controller: Application to the Real‐Time Pressure Control Process

Kanagaraj

Sivashanmugam

Paramasivam³

2008

Advances in Fuzzy Systems

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Recommended by Yousef Al-AssafThis paper presents the real-time implementation of a fuzzy coordinated classical PI control scheme for controlling the pressure in a pilot pressure tank system. The fuzzy system has been designed to track the variation parameters in a feedback loop and tune the classical controller to achieve a better control action for load disturbances and set point changes. The error and process inputs are chosen as the inputs of fuzzy system to tune the conventional PI controller according to the process condition. This online conventional controller tuning technique will reduce the human involvement in controller tuning and increase the operating range of the conventional controller. The proposed control algorithm is experimentally implemented for the real-time pressure control of a pilot air tank system and validated using a high-speed 32-bit ARM7 embedded microcontroller board (ATMEL AT91M55800A). To demonstrate the performance of the fuzzy coordinated PI control scheme, results are compared with a classical PI and PI-type fuzzy control method. It is observed that the proposed controller structure is able to quickly track the parameter variation and perform better in load disturbances and also for set point changes.

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Fuzzy self-tuning of PID controllers

Cited by 206 publications

References 1 publication

Self-tuning PI Controllers via Fuzzy Cognitive Maps

Self-tuning PI Controllers via Fuzzy Cognitive Maps

Self-Tuning Fuzzy PI Controller (STFPIC)

Fuzzy Coordinated PI Controller: Application to the Real‐Time Pressure Control Process

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