Web-Books
in the Austria-Forum
Austria-Forum
Web-Books
Technik
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Page - 170 -
  • User
  • Version
    • full version
    • text only version
  • Language
    • Deutsch - German
    • English

Page - 170 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources

Image of the Page - 170 -

Image of the Page - 170 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources

Text of the Page - 170 -

5. ExperimentalResults Comparing the results in figures 5.30 to the results of the first setup (in figures 5.23 and 5.25), there are a number of obvious distinc- tions. ForthePIDcontroller, thetemperaturewindowsareevenlarger than the results in the first setup, which indicates that the conduction based temperature improvement effect in the second setup is much lower than in the first setup. Unlike the PID controller, the perfor- mance of the linear and the nonlinear MPC methods is both better than the results in the first setup (see figure 5.25), regarding the tem- perature overshoot and the final temperature window aspects. For the linear MPC, it has smaller temperature windows as well as much lower temperature overshoot and oscillations, especially in the high temperature range. This performance fully reflect that without extra disturbances from the thermal conduction, the model constructed in the equation 3.41 is more accurate and close to describe the heating dynamics,whichresults inbettercontrol results. For the nonlinear MPC, the performance improvement is even more obvious than the linear MPC. That is partly because less heating sources are used. At the same time, it profits more from the reduced impact of the thermal conduction. In both MPC methods, the influ- ences fromall coolingeffects includingthethermalconductioncanbe 0 5 0 0 1 0 0 0 1 5 0 0 2 0 0 0 2 5 0 02 0 4 0 6 0 8 0 1 0 0 1 2 0 DT2= 1 6 . 1 °C ~1 6 . 3 °C T i m e ( s ) T a r g e tT 1T 2T 3T 4T 5 DT1= 1 1 °C ~1 1 . 2 °C 0 2 0 4 0 6 0 8 0 1 0 0 (a)PID(newCA3,12sources). 170
back to the  book Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources"
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
Web-Books
Library
Privacy
Imprint
Austria-Forum
Austria-Forum
Web-Books
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources