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5.3. ResultsofDifferentControlMethods
trol interface regularly sends a pulse signal to the watchdog timer e
200 ms, to prevent it from elapsing. If any software or hardware ac-
cidents happen, the LabVIEW control interface fails to the send this
pulse signal. Then the watchdog timer will elapse and switch off the
powersupplies.
9 6 0 9 6 5 9 7 0 9 7 5 9 8 0 9 8 5 9 9 0 9 9 5 1 0 0
06
0
8 0
T i m e ( s ) T a r g e
tT
1T
2T
3T
4T
5
0
2 0
4 0
6 0
8 0
1 0 0
Figure5.26. Control ’accident’ in theheatingprocess.
In practical applications, since LabVIEW is not a pure real-time soft-
ware, the time cost in each LabVIEW loop is not fixed. In some cases
the loop takes more than 200 ms, and then the watchdog timer will
elapse and switch off the power supplies. What happens in the next
is shown in figure 5.26. No matter what control input is sent to the
HEPHAISTOScavity, there isnomicrowaveheatingpowerandhence
the temperatures drop quickly. In such cases, the LabVIEW control
interface and the MATLAB control program are not interrupted since
there is no signal from the power supplies or the watchdog timer to
report their status. They continuously update the estimated system
model and calculate new control input, based on the incorrect power-
temperaturepairs.
This kind of failure is difficult to be eliminated from a hardware as-
pect (the timeout value of the watchdog timer is fixed), and it is also
hard to be detected in the control program. Normally when a single
’accident’ occurs, the system can recover from it quickly, owing to the
165
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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