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94 12 ModelPredictiveControl
12.3 MixedFeedforwardandFeedback
In some cases, the sensor and calculation costs of updating in each time stepmay
not provide sufficient benefit. Instead, the systemcould apply the first few control
inputs of the sequence,u(0),u(1),...,u(Ď„), and thenupdate the sequence at time
Ď„ <T .
Asystemthatuses feedback inputs at one timepoint tocalculate and thenapply
a future sequence of control inputs is running in partial feedforward mode. The
feedback inputs arrive, and then the systemruns forward fromthose inputswithout
the feedback correction obtained by comparing the changing systemoutput to the
potentiallychanging target reference signal.
After awhile, the systemmay takenew input readings andupdate theprojected
sequence of future control signals. Eachmeasurement and recalculation acts as a
feedback correction process. Thus, systemsmay combine the simplicity and rela-
tively lowcostof feedforwardcontrolwith thecorrectionandrobustnessbenefitsof
feedback.
12.4 NonlinearityorUnknownParameters
This section’s example used a simplemodel of internal dynamics, x¨=u, given in
Eq.12.1.Thatexpression,equatingaccelerationandforce,providedasimplewayin
whichtoanalyzetrajectories.That internalmodelmayoftenperformwellevenif the
truemodel is nonlinear because thefirstmovealong the calculated trajectoryoften
dependsonhowthe forceof theapplied input alters theaccelerationof the system.
Alternatively, one could use amore general expression for the internal model
dynamics,withasetofunknownparameters.Onecouldthenaddanadaptivecontrol
layer to the system to provide updated parameter estimates. In some cases, this
combinationofmodelpredictivecontrol andadaptivecontrolmayperformwell.
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Control Theory Tutorial
Basic Concepts Illustrated by Software Examples
- Title
- Control Theory Tutorial
- Subtitle
- Basic Concepts Illustrated by Software Examples
- Author
- Steven A. Frank
- Publisher
- Springer Open
- Location
- Irvine
- Date
- 2018
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-319-91706-1
- Size
- 15.5 x 23.5 cm
- Pages
- 114
- Keywords
- Control Theory --- Engineering Design Tradeoffs, Robust Control, Feedback Control Systems, Wolfram
- Category
- Informatik