| 摘要 |
PURPOSE:To attain an automatic control of various controlled systems without performing the identification of the controlled systems, by storing previously the human experience or perception as an inference rule and the inferring optimum parameters from the feature value of waveforms like the controlled variable, etc. based on said inference rule. CONSTITUTION:A feature value extractor 10 receives the deviation e(k) or a target signal r(k) and a controlled variable y(k) and outputs a feature value Si showing the characteristics of a controls system. A velocity type fuzzy inference unit 11 receives the value Si and infers the controlled variable against the present value in order to optimize the control parameters, i.e., the gain KC, the integration action time TI and the derivative action time TD according to an inference rule Rj obtained from the human experience or perception. Then the unit 11 outputs the controlled variable DELTAKC, DELTATI and DELTATD respectively and an integrator 12 receives these values for integration to deliver actual parameter values. These parameters are given to a PID controller 4 and used again to calculate a manipulated variable u(k) from the value e(k). Thus this controller can perform an automatic control at an optional time point while carrying out the control owing to the velocity type inference unit 11.
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