Seite - 88 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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4. ControlSystemDesign
2. MPCcontroller
The MPC controller is responsible for calculating the new control
input vector and giving it to the HEPHAISTOS oven, according to
theestimatedmodelandtheMPCprinciple.
In the MPC controller, the first task is to define the cost function,
which is the objective to be solved in the controller. It is assumed
that themodifiedtarget temperaturevectorat timek is
Yt(k) =Tt(k)−Ta(k), (4.1)
whereTt(k) is thereal target temperaturevector(N×1)andTa(k)
isthetemperatureofthesurroundingair. Oneofthemostcommon
cost functionsJ(k)usedin theMPCmethodis [Wan09]
J(k) = p∑
l=1 [(
Yt(k+ l)−Y(k+ l) )T
Γ(l)
(
Yt(k+ l)−Y(k+ l)
)
+UT(k+ l−1)Λ(l)U(k+ l−1)],
(4.2)
with
Y(l) =
Y1(l)
Y2(l)
...
YN(l)
, [Γ(l)] =
γ(l) 0 · ·· 0
0 γ(l) · ·· 0
... ... ... ...
0 0 · ·· γ(l)
,
U(l) =
u1(l)
u2(l)
...
uM(l)
, [Λ(l)] =
Λ(l) 0 · ·· 0
0 Λ(l) · ·· 0
... ... ... ...
0 0 · ·· Λ(l)
, (4.3)
where Γ(l)(N×N) and Λ(l)(M×M) are both positive definite
tuning matrices used to adjust weights of future temperature and
control input vectors, respectively. Thefuture temperaturevectors
can be predicted using either the linear model 3.41 (linear MPC)
or thenonlinearmodel 3.46 (nonlinearMPC).
88
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Titel
- Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Autor
- Yiming Sun
- Verlag
- KIT Scientific Publishing
- Ort
- Karlsruhe
- Datum
- 2016
- Sprache
- englisch
- Lizenz
- CC BY-SA 3.0
- ISBN
- 978-3-7315-0467-2
- Abmessungen
- 14.8 x 21.0 cm
- Seiten
- 260
- Schlagwörter
- Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
- Kategorie
- Technik