Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Type-2 Fuzzy Logic Control of a Flexible-Joint Manipulator
Journal of Intelligent and Robotic Systems
Systematic design of a stable type-2 fuzzy logic controller
Applied Soft Computing
A rule base modification scheme in fuzzy controllers for time-delay systems
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
A new optimization method: Big Bang-Big Crunch
Advances in Engineering Software
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithms
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Recent advances on machine learning and Cybernetics
Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm
Expert Systems with Applications: An International Journal
A stochastic neighborhood search approach for airport gate assignment problem
Expert Systems with Applications: An International Journal
Design of interval type-2 fuzzy models through optimal granularity allocation
Applied Soft Computing
A review on the design and optimization of interval type-2 fuzzy controllers
Applied Soft Computing
Type-2 FLCs: A New Generation of Fuzzy Controllers
IEEE Computational Intelligence Magazine
A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Interval type-2 fuzzy logic systems: theory and design
IEEE Transactions on Fuzzy Systems
Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems
IEEE Transactions on Fuzzy Systems
Computing derivatives in interval type-2 fuzzy logic systems
IEEE Transactions on Fuzzy Systems
Paper: Adaptive load-frequency control of the hungarian power system
Automatica (Journal of IFAC)
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This paper proposes an optimization based design methodology of interval type-2 fuzzy PID (IT2FPID) controllers for the load frequency control (LFC) problem. Hitherto, numerous fuzzy logic control structures are proposed as a solution of LFC. However, almost all of these solutions use type-1 fuzzy sets that have a crisp grade of membership. Power systems are large scale complex systems with many different uncertainties. In order to handle these uncertainties, in this study, type-2 fuzzy sets, which have a grade of membership that is fuzzy, have been used. Interval type-2 fuzzy sets are used in the design of a load frequency controller for a four area interconnected power system, which represents a large power system. The Big Bang-Big Crunch (BB-BC) algorithm is applied to tune the scaling factors and the footprint of uncertainty (FOU) membership functions of interval type-2 fuzzy PID (IT2FPID) controllers to minimize frequency deviations of the system against load disturbances. BB-BC is a global optimization algorithm and has a low computational cost, a high convergence speed, and is therefore very efficient when the number of optimization parameters is high as presented in this study. In order to show the benefits of IT2FPID controllers, a comparison to conventional type-1 fuzzy PID (T1FPID) controllers and conventional PID controllers is given for the four-area interconnected power system. The gains of conventional PID and T1FPID controllers are also optimized using the BB-BC algorithm. Simulation results explicitly show that the performance of the proposed optimum IT2FPID load frequency controller is superior compared to the conventional T1FPID and PID controller in terms of overshoot, settling time and robustness against different load disturbances.