智能控制智能控制智能控制 (24).pdf

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1、General Structures of Fuzzy ControlIn theory,a fuzzy controller is represented by a N-dimensional relation R.R is a combination of several N-dimensional relations Ri,each representing a rule(Ri:IF.THEH.).Schematic of Theoretical Fuzzy ControllerThe scaling factors map the controller inputs and outpu

2、ts to and from normalized intervals on which the fuzzy reasoning takes place.General Structures of Fuzzy ControlEssential Structures of Fuzzy Control Fuzzification interface measures the input variable(setpoint)and outputvariable(s)of the controlled system,and maps them into a suitable range thatcor

3、responds to the universe of discourse,then the crisp input data is transformedinto suitable linguistic values or labels of fuzzy sets.Function of the Blocks Knowledge Base involves the relevant knowledge of the applied domain and thecontrol objectives,it consists of Data base Definitions on discreti

4、zation of universes of discourse Definitions of membership functions Linguistic(fuzzy)control rule base.Inference Engine is the core of the fuzzy control system.Based on the fuzzyconcept,the fuzzy control information can be acquired by using fuzzyimplicationandfuzzyinferencerulesoffuzzylogic,andthea

5、nthropomorphic decision processes can be realized.Defuzzification interface takes the inferred fuzzy control action,andgenerates a crisp or nonfuzzy control action.The crisp control action has tobe inversely scaled(out scaling)by range transformation prior to controllingthe controlled process.Function of the Blocks Schematic of theoretical fuzzy controller General Structures of Fuzzy Control Essential Structures of Fuzzy Control Fuzzification interface Knowledge Base Inference Engine Defuzzification interfaceSummary