Interval type-2 fuzzy logic systems: theory and design

Liang, Qilian; Mendel, Jerry M.

doi:10.1109/91.873577

Cited by 1,654 publications

(141 citation statements)

References 35 publications

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“…This may degrade the controller performance, especially when the plant is subjected to disturbances. Therefore, an advanced fuzzy logic (interval Type-2 FLC) was developed which deals with the issues of uncertainty in MFs and fuzzy rules [27,28]. Thus, an attempt has been made to design the pitch angle controller using an interval type-2 FLC.…”

Section: Introductionmentioning

confidence: 99%

Output Power Smoothing and Voltage Regulation of a Fixed Speed Wind Generator in the Partial Load Region Using STATCOM and a Pitch Angle Controller

Naik¹,

Gupta²

2017

Energies

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Abstract:The output power and terminal voltage of the fixed speed induction generator fluctuate in the partial load region where the wind speed is below the rated vale, resulting in fluctuations in the grid frequency and voltage. In this paper, a novel pitch angle control strategy has developed by introducing an exponential moving average (EMA) concept from which the controller reference power (signal) can be set for below-rated wind speeds. Therefore, the employed pitch angle controller together with static synchronous compensator (STATCOM), named the unified voltage and pitch angle controller (UVPC), addresses the objective of smoothing the output power and terminal voltage regulation of a wind generator, subjected to below-rated wind speed variations. Moreover, an interval type-2 fuzzy logic technique has incorporated in the pitch angle controller design, since it is more efficient in handling the uncertainties in membership functions and rules than its traditional fuzzy logic counterparts. Simulation results clearly show that the proposed UVPC effectively smoothens out the generator output power and also regulates the terminal voltage at its constant magnitude.

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Section: Introductionmentioning

confidence: 99%

Output Power Smoothing and Voltage Regulation of a Fixed Speed Wind Generator in the Partial Load Region Using STATCOM and a Pitch Angle Controller

Naik¹,

Gupta²

2017

Energies

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“…These are an extension of T1 FSs, which adds an extra degree of freedom to entitle an uncertainty factor in the systems [3]. T2 FSs have membership grades, which are also fuzzy [4]. According to Hisdal in [5], "increased fuzziness in a description means increased ability to handle inexact information in a logically correct manner".…”

Section: Introductionmentioning

confidence: 99%

Review of Recent Type-2 Fuzzy Controller Applications

et al. 2016

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Type-2 fuzzy logic controllers (T2 FLC) can be viewed as an emerging class of intelligent controllers because of their abilities in handling uncertainties; in many cases, they have been shown to outperform their Type-1 counterparts. This paper presents a literature review on recent applications of T2 FLCs. To follow the developments in this field, we first review general T2 FLCs and the most well-known interval T2 FLS algorithms that have been used for control design. Certain applications of these controllers include robotic control, bandwidth control, industrial systems control, electrical control and aircraft control. The most promising applications are found in the robotics and automotive areas, where T2 FLCs have been demonstrated and proven to perform better than traditional controllers. With the development of enhanced algorithms, along with the advancement in both hardware and software, we shall witness increasing applications of these frontier controllers.

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“…Hence, to enhance the real-time performance of on-line ap-plications, the interval type-2 fuzzy logic was investigated in various articles (e.g., Castro, Castillo and Martinez [10,11] ). So, Simplified interval fuzzy sets have been used in most of T2FLC's used for on-line control.…”

Section: Introductionmentioning

confidence: 99%

On-line control of nonlinear systems using a novel type-2 fuzzy logic method

Safarinejadian¹,

Karimi²

2014

AIR

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In this paper, a new type-2 fuzzy logic controller (T2FLC) is proposed for on-line control of nonlinear systems. The proposed method provides more flexibility in applying human thinking in control system design in comparison with the traditional or even type-1 fuzzy logic controllers. One encounters some problems using the type-2 fuzzy logic controllers on-line because of the large volume of computations required. The main aim of this paper is to propose a new type-2 fuzzy controller with a small computational burden so that it can be used on-line. In the proposed T2FLC, the programs related to the computation of union of all qualified consequent T2MFs are divided into some sub-problems, and to design the T2FLC -not interval -we merge the Type Reducer and Defuzzifier into one step. By doing so, the computational time reduces, and the performance of our T2FLC increases so that it can be used on-line in dynamic systems. We study the noise concealing properties of the proposed T2FLC as well. The proposed method is applied to two non-linear dynamic systems, ball & beam and inverted pendulum. The results are compared with PID and type-1 fuzzy logic controllers. In the simulation results, it is also shown that the proposed controller has good noise cancelling properties.

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Interval type-2 fuzzy logic systems: theory and design

Cited by 1,654 publications

References 35 publications

Output Power Smoothing and Voltage Regulation of a Fixed Speed Wind Generator in the Partial Load Region Using STATCOM and a Pitch Angle Controller

Output Power Smoothing and Voltage Regulation of a Fixed Speed Wind Generator in the Partial Load Region Using STATCOM and a Pitch Angle Controller

Review of Recent Type-2 Fuzzy Controller Applications

On-line control of nonlinear systems using a novel type-2 fuzzy logic method

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