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5. ExperimentalResults
In this chapter, the results of practical experiments will be presented.
In the beginning, a number of preliminary trials are performed in or-
der toverifythevalidityof the linearandthenonlinearmodels (given
bytheequation 3.41and 3.46respectively). Thenthesystemidentifi-
cationalgorithmsintroducedinchapter 3aretestedandcompared, to
identify themostappropriatesystemidentificationmethodforpracti-
cal heating experiments. In the end, both the adaptive and the intelli-
gent control methods are applied, and the corresponding experimen-
tal resultsarepresentedandcompared.
5.1. VerificationinHEPHAISTOS
Due to its complicated structure, some fundamental characteristics of
HEPHAISTOS are difficult to determine theoretically, e.g. the proper-
ties of the EM field distributions. In order to understand the capabili-
tiesandlimitsoftheHEPHAISTOSsystembetter,anumberofprelim-
inary tests have been done with respect to one fundamental question,
which is thepracticalpowersuperpositionprinciple.
According to the introductions in chapter 3, there are two different
powersuperpositionprinciples,definedasthescalaradditionandthe
vector addition principles. These two principles are the basis of the
linear 3.41 and the nonlinear 3.46 state-space models, respectively,
which are also the foundations of the entire MPC system. From this
pointofview,toverifythepowersuperpositionprincipleisequivalent
to theverificationofvaliditiesof these twogrey-boxmodels.
The entire verification procedures contain three aspects. The first as-
pect is to check if each individual feeding source can provide a sta-
ble heating pattern. For each microwave source of HEPHAISTOS,
133
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