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1.2. Overviewof theStateof theArt
microwave source in order to make the measured temperature reach
thepredefinedtarget temperature.
This modeling-and-control approach is effective for microwave heat-
ingsystemswithonefeedingsource,andmostoffollowingworkuses
the same kind of strategy. For instance, in [RCVI99] a proportional-
integral-derivative (PID) controller was developed to control temper-
atures in microwave heating. In [SBA00] the autoregressive-moving-
average model with exogeneous inputs (ARMAX) [BJR13] method
was utilized to build the system model. Another model-based feed-
backcontrollerwasdesignedandarecursiveKalmanfilter (RKF)was
used to estimate the parameter of the ARMAX model, which further
enhanced the control performance. Similar control schemes can also
be found in [KRS08] and [HS07]. Despite the model based feedback
controller achieved good control performance regarding to the SISO
heating scenario, the entire temperature distribution of the heated
load was not considered in the control model, and hence, not con-
trolled.
In order to truly improve the temperature homogeneity, microwave
heating systems equipped with multiple distributed feeding sources
were studied and developed, such as the system used in our experi-
mentsandtheonementionedin[LLHG14]. Ontheonehand,systems
withmultipledistributedmicrowaveheatingsourceshaveagreatpo-
tential toachieveamoreuniformtemperaturedistribution. Butonthe
other hand, they are much more complicated than systems with only
onefeedingsource. Alotof itsproperties,suchastheEMdistribution,
excitementofdifferentmodes,effectsofdifferentpositionsofsources,
especially the temperature control strategy, still remain unknown. Al-
though in [LLG14] and [LLHG14], a distributed temperature control
system was claimed to be implemented for controlling power of in-
dividual sources, there is no detailed introduction about this system.
Corresponding modeling and controlling methods are still not clear.
Totheauthor’sknowledge,upuntilnowthereisnosophisticatedthe-
ory or model published to deal with the controller design of systems
withmultipledistributedmicrowaveheatingsystems.
7
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Title
- Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Author
- Yiming Sun
- Publisher
- KIT Scientific Publishing
- Location
- Karlsruhe
- Date
- 2016
- Language
- English
- License
- CC BY-SA 3.0
- ISBN
- 978-3-7315-0467-2
- Size
- 14.8 x 21.0 cm
- Pages
- 260
- Keywords
- Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
- Category
- Technik