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The Self-Organizing Controller
Chapter 6
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Summary Model Reference Adaptive System, MRAS Performance measure
Local adjustments, nonlinear
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Adaptive Controller An adaptive controller is a controller with adjustable parameters and a mechanism for adjusting the parameters (Åström & Wittenmark, 1995)
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Adaptive System Parameter adjustment Parameters Setpoint
Control signal Output Controller Plant
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MRAS Model Controller Plant Adjustment mechanism Ref y u ym Parameters
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Assumptions Plant: known structure Model: performance specification
Controller: perfect model-following capacity Adjustment mechanism: uses model error = ym - y
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First Order Plant Response
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Specifications plant model control law adaptation law
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The MIT Rule
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SOC Block Diagram de/dt GCE GE e E GCU F Array1 P Array2 M Modifier CE
Integrator CU U
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Assumptions Plant: monotonous response Model: performance table P
Controller: incremental Finc Adjustment mechanism: modifier block M
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P table (Procyk & Mamdani)
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P table (Yamazaki) -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6
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Adaptation Law
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Linear Performance Measure
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Example: e-9s/s(s+1)2 Tune a linear fuzzy, start adaptation, and
measure the performance of response.
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Incremental PD Control
200 400 600 800 1000 -1 1 2 y and ym (dashed) -0.05 0.05 0.1 0.15 Control signal u Time [s]
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After First Training Run
200 400 600 800 1000 -5 5 10 y and p (dashed) Seconds
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After 29 Runs 200 400 600 800 1000 0.5 1 y and ym (dashed) 0.02 0.04
200 400 600 800 1000 0.5 1 y and ym (dashed) 0.02 0.04 0.06 0.08 Control signal u
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Control Surface And ISP
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Tuning Rules
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Time Lock (delay line)
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Summary Model Reference Adaptive System, MRAS Performance measure
Local adjustments, nonlinear
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