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5. ExperimentalResults
is significantly larger than∆T1. It indicates that the temperaturewin-
dow in PID control mainly depend on the setup and other external
factors (suchasthetarget temperature),whichalsoreflect thefact that
thePIDcontrollerdoesnothavetheactiveability to improvethetem-
peraturedistribution.
In principle, all 18 heating sources within the new CA3 could be used
for the controlling, but in the above as well as following experiments,
only 12 of them (the first two modules) are used. That is because for
the other 6 heating sources using the low-ripple power supplies, they
are not able to output power lower than10%of the maximum power.
They can work properly when the control input value u(k) is larger
than 0.1, but when the value is lower than 0.1, the practical output
power is always fixed at 10%×2kW = 200W. This behavior would
cause extra disturbances to the system estimation and it is also not re-
liable considering some safety issues. Therefore in these experiments,
only the first 12 heating sources are used. In the future, additional
micro controllers or frequency converters will be attached to the low-
ripple power supplies to make sure that they will work in a securer
PWMmode.
However, forPIDthenumberofheatingsourcesanddifferenttypesof
power supplies do not have any severe impacts to the control perfor-
mance. The control results of the PID controller in the old HEPHAIS-
TOSCA3using36heatingsourcesareshowninfigure 5.24. Compar-
ing the results in these two experiments, they have the similar control
behaviors and the same level of final temperature windows. More
heating sources does not necessarily lead to a better control perfor-
manceandamorehomogeneoustemperaturedistribution. Aslongas
thenumberoftheheatingsourcesisenoughtoprovideadiverseheat-
ing (which depends on the specific application) and they are properly
distributed spatially, the control diversity as well as the correspond-
ing control performance can be guaranteed. This phenomenon is also
reflected by some of the following results, and it is one of the reasons
whyinthenewCA3thenumberofsources ishalved.
162
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