Self Organizing Fuzzy Controller

Self Organizing Fuzzy Controller - Self Organizing Fuzzy...

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Self Organizing Fuzzy Controller Phuong Ngo ME 697 – intelligent systems
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Introduction Based on the value of the performance index or objective function, the system performance is evaluated An appropriate adaptation signal is generated to modify the control parameters online Figure 1: Self Organizing Fuzzy Control System[1] Basic level Self organizing level
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Introduction Control parameters that can be used to optimize the performance index: Input/ Output membership functions Fuzzy control rules Input/output scaling factors
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Multilevel Fuzzy Control System Figure 2: Multilevel fuzzy control (MLFC) system [2]
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Multilevel Fuzzy Control System First layer fuzzy controller Fuzzy controller rule: i 2 j 1 n(i,j) : If e is E and e is E then u is U Where e 1 is the error e(k), e 2 is the change of error Δe(k), u 1 is the change of control signal Δu(k) Fuzzy control law: 1 R: If e is E and e is E then u is U μ = 1 ( 1 , 2 ) 1 2 , , [ ( ) ( ) ] ( ( ) ( )) j j i i E i E n i i j j E j E e e U u e e
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Self Organizing Fuzzy Controller - Self Organizing Fuzzy...

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