Abstract
In this research, a hybrid control system is proposed to address the temperature control of an infrared dryer. The control system includes a feedback-predictive controller and a neural network steady state control law. The feedback-predictive controller outputs the amplified value of the predicted error as the transient control command. The predictive model was employed to suppress the undesirable effect of the dead-time of the system. A multilayer perceptron was designed and tested based on a control equilibrium point and steady state control to be used as a feedforward controller. The stability of the control system in a continuous domain was proved with no limit on the amplification gain of the predictive-feedback controller. In other words, there is no concern about losing stability with accelerating convergence towards the reference. The entire control system was constructed in Simulink and compiled to a C code and applied on the experimental setup. Experimental results are outstanding in comparison with the results of an interactively tuned IMC-based PID controller.
Original language | English |
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Pages (from-to) | 1972-1977 |
Number of pages | 6 |
Journal | Asian Journal of Control |
Volume | 17 |
Issue number | 5 |
DOIs | |
Publication status | Published - Sept 1 2015 |
Externally published | Yes |
Keywords
- GTZ systems
- Infrared dryer
- Predictive
- Processes with dead-time
ASJC Scopus subject areas
- Control and Systems Engineering