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Performance evaluation • Desired performance of the closed-loop loop system is achieved if the error signal remains very small for all time no matter what • reference signal is. • plant parameter variations occur. • Error signal • Small Learning mechanism will not make significant modifications to the fuzzy controller. • Large Learning mechanism will adjust FC. Fall 2008 MECH523 : Intelligent Control 10
Learning mechanism • Tuning of rule-base of fuzzy controller s.t. . the C.L. system behaves like reference model. • The learning mechanism consists of: • Fuzzy inverse model: : Function to map ye(kT) ) to changes in the plant input p(kT) ) that are necessary to force ye(kT) ) to be zero, or small. (next lecture) • Knowledge-base modifier: : Function to modify fuzzy controller’s s rule-base to affect the needed changes in the plant inputs. (following slides) Fall 2008 MECH523 : Intelligent Control 11
Page 1 and 2: MECH523: Intelligent Control Lectur
Page 3 and 4: Issues in fuzzy controllers • Har
Page 5 and 6: Fuzzy model reference learning cont
Page 7 and 8: Fuzzy controller • PD fuzzy contr
Page 9: Reference model • Reference model
Page 13 and 14: Modification of output MFs • Exam
Page 15: Summary • FMRLC: Fuzzy model refe

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