Maximum power point tracking of photovoltaic systems using simple interval type-2 fuzzy logic controller based on hill climbing algorithm

Wati, Dwi Ana Ratna

doi:10.1109/isitia.2016.7828743

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Table 1 describes the most used Type-Reduction method, which is called the KM reduction.On other hand, the structure of a FIS based on IT2 FL is illustrated in Figure 4. The IT2 FLCs are also appreciated in control applications because they also provide a non-linear control, but in addition provide the uncertainty consideration in their model, and some examples of applications of IT2 FLCs are [27], [1,5,29].…”

Section: Interval Type-2 Fuzzy Logicmentioning

confidence: 99%

Comparative analysis of noise robustness of type 2 fuzzy logic controllers

Ontiveros-Robles¹,

Melín²,

Castillo³

2018

Kybernetika

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Section: Interval Type-2 Fuzzy Logicmentioning

confidence: 99%

Comparative analysis of noise robustness of type 2 fuzzy logic controllers

Ontiveros-Robles¹,

Melín²,

Castillo³

2018

Kybernetika

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“…IT2 FLCs are also appreciated and latest trends in control applications because they also provide a nonlinear control, but in addition provide the uncertainty consideration in their model, and some examples of applications of IT2 FLCs are [2], [7], [17], [35] and [40] The main motive to go with the Interval Type-2 Fuzzy Logic System (IT2FLS) approach is list out as follows:…”

Section: Introductionmentioning

confidence: 99%

Design of Interval Type 2 Fuzzy Fault-Tolerant Controller for a Non-Minimum Phase System: Application to quadruple conical tank system

Patel

Shah

2019

Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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Quadruple Conical Tank System (QCTS) is benchmark a laboratory setup for testing of various linear and nonlinear control algorithms for the multivariate control system. The multiple process configuration for multivariate input-output can be obtained from quadruple conical tank system. This article is concerned with designing a novel Fault-Tolerant Control (FTC) using Interval Type 2 Fuzzy Control (IT2FLC) subject to actuator and system component (Leak) faults. Additionally, paper explores the pen loop response with given operating points of quadruple conical tank system linearized model for non-minimum phase configuration obtained from MATLAB. The proposed control design method is simulated on prototype model of quadruple conical tank process for onminimum phase configuration. The performance of the proposed controller is studied through extensive simulations with regulatory and servo responses. Through comparative studies of proposed controller with other model based H ∞ , LQR, 2 DoF Decentralized PI Controller and model free Type 1 Fuzzy Logic controller (T1FLC) responses in MATLAB simulation environment, the effect of interaction, coupling, time variations and change in dynamic behaviour of QCTS confirmed.

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