Publication | Closed Access
Design of self-tuning fuzzy logic controller for the control of an unknown industrial process
35
Citations
18
References
2009
Year
Fuzzy SystemsEngineeringFuzzy ControlIndustrial EngineeringFuzzy ModelingFuzzy Control SystemUnknown Industrial ProcessRefrigerationTemperature Control ProcessSystems EngineeringFuzzy OptimizationController TuningFuzzy LogicMechatronicsHeat TransferFuzzy Expert SystemProcess ControlPid ControlControl System MethodsIndustrial Process ControlThermal Engineering
An improvement over the existing conventional fuzzy logic approach, based on a self-tuning fuzzy logic controller (FLC), for the design of a temperature control process, capable of providing optimal performance over the entire operating range of the process, was proposed. Since an optimum response of the FLC can be expected only for a limited range of inputs, tuning the input and output gains is done here for various range of inputs. The proposed control system has the advantages of self-tuning FLC schemes. To evaluate the performance of the proposed control system methods, the results from the simulation of the process are presented.
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