Variable Gain Takagi–Sugeno Fuzzy Logic Controllers

Rajesh, R J; Kaimal, M. R.

doi:10.15388/informatica.2006.147

Cited by 4 publications

(1 citation statement)

References 14 publications

(27 reference statements)

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“…The simulation results earned under different changes in inputs and parameters of power system. Generally triangle or trapezoidal membership functions are used [17]. Here a triangular membership function is used to define the degree of membership.…”

Section: Anflcmentioning

confidence: 99%

Stability Analysis of Synchronous Generator among Four Intelligent Fuzzy Logic Based Excitation Controllers

Sabry

2014

The International Conference on Electrical Engineering

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Electrical power systems are widely distributed systems, consisting of a large number of interconnected synchronous generators through transmission lines, mounting real and reactive power. Moreover, with deregulation and growth of the power industry, power systems elements are forced to operate very near to their maximum capacity and hence, the system becomes vulnerable. Therefore, controlled operation of power systems is very critical and of utmost importance in order to achieve stable power system. Naturally, this paves ways for implementing fast, efficient and reliable control algorithms. Robustness and efficiency of power system controllers can be improved by using complimentary models of intelligent systems. Difficulties encountered in designing controls for nonlinear, dynamic and uncertain systems can be easily tackled by using intrinsic observability property of various intelligent systems. Intelligent controllers have been successfully applied to enhance operation and control of power system. This paper presents an implementation of four different Fuzzy Logic based intelligent controllers through the excitation system of the synchronous generator: Conventional Fuzzy Logic Controller (CFLC), Adaptive Fuzzy Logic Controller (AFLC), Adaptive Neuro-Fuzzy Logic Controller (ANFLC) and Takagi-Sugeno Fuzzy Logic Controller (TSFLC). A comparison between the four proposed intelligent controllers are presented.

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Section: Anflcmentioning

confidence: 99%

Stability Analysis of Synchronous Generator among Four Intelligent Fuzzy Logic Based Excitation Controllers

Sabry

2014

The International Conference on Electrical Engineering

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Could Aura Images Can Be Treated as Medical Images?

Rajesh

Priya

Kumar

et al. 2011

Informatics Engineering and Information Science

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Simple Type-2 T-S Fuzzy Control System for gyros

Rajesh

Thilagavathy

Satheeshkumar

et al. 2010

International Conference on Fuzzy Systems

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This paper presents the design and development of Simple Type-2 Takagi-Sugeno Fuzzy Control System (ST2TSFCS) for the nonlinear mathematical model of gyros, which are commonly used in inertial guidance systems, autopilot systems, and the like for sensing angular motion. Type-2 SemiCircular membership function is used for fuzzy linguistic values in the antecedent part of the fuzzy rules. The simulation results of gyros show that Simple Type-2 Takagi-Sugeno Fuzzy Control System (ST2TSFCS) performs better than Type-1 TakagiSugeno Fuzzy Control System (T1TSFCS).

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Variable Gain Takagi–Sugeno Fuzzy Logic Controllers

Cited by 4 publications

References 14 publications

Stability Analysis of Synchronous Generator among Four Intelligent Fuzzy Logic Based Excitation Controllers

Stability Analysis of Synchronous Generator among Four Intelligent Fuzzy Logic Based Excitation Controllers

Could Aura Images Can Be Treated as Medical Images?

Simple Type-2 T-S Fuzzy Control System for gyros

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