The Experts below are selected from a list of 23955 Experts worldwide ranked by ideXlab platform
S Velusami - One of the best experts on this subject based on the ideXlab platform.
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dmlhflc dual mode linguistic hedge Fuzzy Logic Controller for an isolated wind diesel hybrid power system with bes battery energy storage unit
Energy, 2010Co-Authors: Mohamed Thameem M Ansari, S VelusamiAbstract:Design of DMLHFLC (dual mode linguistic hedge Fuzzy Logic Controller) for an isolated wind–diesel hybrid power system with BES (battery energy storage) unit is proposed in this paper. The design methodology is a hybrid model based on the concepts of linguistic hedges and hybrid genetic algorithm-simulated annealing algorithms. Dual-mode concept is also incorporated in this proposed Controller because it can improve the system performance. The system is simulated and the results are compared with proportional plus integral Controller and FLC (Fuzzy Logic Controller). Sensitivity analysis and robustness of the Controller is tested. The results prove the effectiveness of the proposed Controller.
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dual mode linguistic hedge Fuzzy Logic Controller for an isolated wind diesel hybrid power system with superconducting magnetic energy storage unit
Energy Conversion and Management, 2010Co-Authors: Md Thameem M Ansari, S VelusamiAbstract:Abstract A design of dual mode linguistic hedge Fuzzy Logic Controller for an isolated wind–diesel hybrid power system with superconducting magnetic energy storage unit is proposed in this paper. The design methodology of dual mode linguistic hedge Fuzzy Logic Controller is a hybrid model based on the concepts of linguistic hedges and hybrid genetic algorithm-simulated annealing algorithms. The linguistic hedge operators are used to adjust the shape of the system membership functions dynamically and can speed up the control result to fit the system demand. The hybrid genetic algorithm–simulated annealing algorithm is adopted to search the optimal linguistic hedge combination in the linguistic hedge module. Dual mode concept is also incorporated in the proposed Controller because it can improve the system performance. The system with the proposed Controller was simulated and the frequency deviation resulting from a step load disturbance is presented. The comparison of the proportional plus integral Controller, Fuzzy Logic Controller and the proposed dual mode linguistic hedge Fuzzy Logic Controller shows that, with the application of the proposed Controller, the system performance is improved significantly. The proposed Controller is also found to be less sensitive to the changes in the parameters of the system and also robust under different operating modes of the hybrid power system.
Md Thameem M Ansari - One of the best experts on this subject based on the ideXlab platform.
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dual mode linguistic hedge Fuzzy Logic Controller for an isolated wind diesel hybrid power system with superconducting magnetic energy storage unit
Energy Conversion and Management, 2010Co-Authors: Md Thameem M Ansari, S VelusamiAbstract:Abstract A design of dual mode linguistic hedge Fuzzy Logic Controller for an isolated wind–diesel hybrid power system with superconducting magnetic energy storage unit is proposed in this paper. The design methodology of dual mode linguistic hedge Fuzzy Logic Controller is a hybrid model based on the concepts of linguistic hedges and hybrid genetic algorithm-simulated annealing algorithms. The linguistic hedge operators are used to adjust the shape of the system membership functions dynamically and can speed up the control result to fit the system demand. The hybrid genetic algorithm–simulated annealing algorithm is adopted to search the optimal linguistic hedge combination in the linguistic hedge module. Dual mode concept is also incorporated in the proposed Controller because it can improve the system performance. The system with the proposed Controller was simulated and the frequency deviation resulting from a step load disturbance is presented. The comparison of the proportional plus integral Controller, Fuzzy Logic Controller and the proposed dual mode linguistic hedge Fuzzy Logic Controller shows that, with the application of the proposed Controller, the system performance is improved significantly. The proposed Controller is also found to be less sensitive to the changes in the parameters of the system and also robust under different operating modes of the hybrid power system.
Khayrollah Hadidi - One of the best experts on this subject based on the ideXlab platform.
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cmos Fuzzy Logic Controller supporting fractional polynomial membership functions
Fuzzy Sets and Systems, 2015Co-Authors: Majid Mokarram, Abdollah Khoei, Khayrollah HadidiAbstract:This paper presents a new Fuzzy Logic Controller (FLC) having the ability to support fractional polynomial membership functions. These functions are general forms of triangular and trapezoidal membership functions, and also those functions which are used in linguistic hedge FLC (LHFLC). A two-input, single-output Takagi-Sugeno-Kang (TSK) type 0 FLC is designed in 0.35 µm standard CMOS process. Analog realization of the circuit makes the design programmable and extendable, while having high speed and low power consumption. Also all the control signals and input signals are in voltage form and no need for digital programmability. Voltage mode realization of the circuits leads to a simple use of FLC with other circuits which are in voltage mode like sensors. Simulation results of the Controller using HSPICE simulator and BSIM3v3 parameters, and comparing them with ideal results obtained from MATLAB software verify the functionality and performance of the design.
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design of an analog cmos Fuzzy Logic Controller chip
Fuzzy Sets and Systems, 2002Co-Authors: Hamed Peyravi, Abdollah Khoei, Khayrollah HadidiAbstract:We propose an analog Fuzzy Logic Controller chip structure in 1.2 µm CMOS technology. It employs a new architecture for fuzzifier circuit that generates membership functions with a very suitable range and precision. These membership functions are simply tunable by setting some voltages on IC pins. Input has three membership functions and output is five singleton membership functions. Also, a novel defuzzifier circuit is used which occupies a small chip area. The Controller is tested for two inputs, one output, and nine tunable Fuzzy rules. The proposed architecture has an operation speed of 6.25 MFLIPS (6.25 × 106 Fuzzy Logic inference per second) and power consumption of 16.3 mW. The whole chip area is less than 0.7 mm2 which is very small. Simulation tests show a good functionality of Controller in response to some inputs to confirm the success of the design. The application of the system to the synthesis of a second-order system in a feedback loop is also considered.
S M Smith - One of the best experts on this subject based on the ideXlab platform.
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a variable structure Fuzzy Logic Controller with run time adaptation
World Congress on Computational Intelligence, 1994Co-Authors: S M SmithAbstract:The design of a variable structure Fuzzy Logic Controller for minimum-time set-point control is presented. The Controller architecture is extended to accommodate runtime adaptation. This innovative approach combines the quick response of bang-bang like control with the stable convergence properties of more conservative linear control to produce a robust high performance Controller. The Controller is based on a Takagi-Sugeno-Kang format but the Controller is warped during each step response to change its structure. The warping is done through scaling of the Controller inputs and outputs. An online scheme for finding the best values for the scaling is presented. >
Abdollah Khoei - One of the best experts on this subject based on the ideXlab platform.
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cmos Fuzzy Logic Controller supporting fractional polynomial membership functions
Fuzzy Sets and Systems, 2015Co-Authors: Majid Mokarram, Abdollah Khoei, Khayrollah HadidiAbstract:This paper presents a new Fuzzy Logic Controller (FLC) having the ability to support fractional polynomial membership functions. These functions are general forms of triangular and trapezoidal membership functions, and also those functions which are used in linguistic hedge FLC (LHFLC). A two-input, single-output Takagi-Sugeno-Kang (TSK) type 0 FLC is designed in 0.35 µm standard CMOS process. Analog realization of the circuit makes the design programmable and extendable, while having high speed and low power consumption. Also all the control signals and input signals are in voltage form and no need for digital programmability. Voltage mode realization of the circuits leads to a simple use of FLC with other circuits which are in voltage mode like sensors. Simulation results of the Controller using HSPICE simulator and BSIM3v3 parameters, and comparing them with ideal results obtained from MATLAB software verify the functionality and performance of the design.
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design of an analog cmos Fuzzy Logic Controller chip
Fuzzy Sets and Systems, 2002Co-Authors: Hamed Peyravi, Abdollah Khoei, Khayrollah HadidiAbstract:We propose an analog Fuzzy Logic Controller chip structure in 1.2 µm CMOS technology. It employs a new architecture for fuzzifier circuit that generates membership functions with a very suitable range and precision. These membership functions are simply tunable by setting some voltages on IC pins. Input has three membership functions and output is five singleton membership functions. Also, a novel defuzzifier circuit is used which occupies a small chip area. The Controller is tested for two inputs, one output, and nine tunable Fuzzy rules. The proposed architecture has an operation speed of 6.25 MFLIPS (6.25 × 106 Fuzzy Logic inference per second) and power consumption of 16.3 mW. The whole chip area is less than 0.7 mm2 which is very small. Simulation tests show a good functionality of Controller in response to some inputs to confirm the success of the design. The application of the system to the synthesis of a second-order system in a feedback loop is also considered.
