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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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5. ExperimentalResults 0 5 0 0 1 0 0 0 1 5 0 0 2 0 0 0 2 5 0 00 5 1 0 1 5 2 0 T i m e ( s ) P I DL i n e a r M P CN o n l i n e a r M P C (d)Standarddeviationwithrespect to the target temperature. Figure5.30. Control performance of PID, linear MPC and nonlinear MPC in the second setup. Due to slightly different duration in the three experiments, the comparison of standard deviation lasts until 2760s. not have the flexibility to deal with fast varying effects from the ther- malconduction,andthiskindofinfluenceisfurthertransmittedtothe estimation error of the heating effect. Using the setup 5.29, the cool- ing effect of each workpiece is more stable than the first setup, and correspondingly theaccuracyof thenonlinearsystemidentification is higher than the case with the first setup. Consequently, the final con- trolperformance is improved. In figure 5.30c, when the target temperature is increasing from 75◦C to100◦C, therearethreecontrolaccidentsoccurredconsecutively. Due to these three accidents, the controlled temperatures fail to follow the target temperature curve and the standard deviation becomes much larger than the normal level (from 1600 s to 1800 s). But after that period, the system estimator takes a short time to recover from the accidents and the control behavior is back to normal quickly. It also 172
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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
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources