Design and simulation of self-tuning PID-type fuzzy adaptive control for an expert HVAC system

Soygüder, Servet; Karaköse, Mehmet; Alli, Hasan

doi:10.1016/j.eswa.2008.05.031

Cited by 191 publications

(86 citation statements)

References 17 publications

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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

View full text Add to dashboard Cite

show abstract

“…In this case, of a regulator type controller, the approach in the construction of the rules base is different. We specify that there is a booming literature of the field, but especially we highlight the papers [30]- [32]. A conventional FLC of Proportional Derivative (PD)-type will be first described.…”

Section: Artificial Intelligence Based Control Of Hvac Systemmentioning

confidence: 99%

“…RB shown in Fig. 10 is used in [32]. The defuzzyfier concerns just the transforming of these if …, then rules into a mathematical formula giving the output control variable u f .…”

Section: Artificial Intelligence Based Control Of Hvac Systemmentioning

confidence: 99%

Intelligent control of HVAC systems. Part I: Modeling and synthesis

Ursu¹,

Năstase²,

Caluianu³

et al. 2013

INCAS BULLETIN

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“…The summary showed that fuzzy supervisory controllers are capable of extending the capacity of the conventional PID control paradigm to coupe with challenging applications. (28,52,53,(55)(56)(57)(58)(59)(60)(61)(62)(63)(64)(65) This paper presents the design of a fuzzy supervisory controller for managing the indoor comfort of an airport terminal and examines its benefits. A detailed simulation model is used to determine the effects in terms of energy and carbon emission reduction as well as passenger comfort in a UK airport terminal.…”

Section: Introductionmentioning

confidence: 99%