Abstract
Temperature is an important control variable in industrial processes. In this paper, an adaptive PID control algorithm has been discussed to track the process temperature. The presented control algorithm employs Lyapunov function based artificial neural networks for online tuning of proportional, integral and derivative actions. This algorithm has been successfully tested on the laboratory temperature control process trainer. For comparative analysis, the results have been contrasted with the conventional PID scheme. The experimental findings show that improved and stable tracking is achieved with the proposed adaptive PID controller.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 9781479984220 |
| DOIs | |
| Publication status | Published - Mar 12 2015 |
| Event | 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015 - Muscat, Oman Duration: Feb 1 2015 → Feb 4 2015 |
Other
| Other | 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015 |
|---|---|
| Country | Oman |
| City | Muscat |
| Period | 2/1/15 → 2/4/15 |
Keywords
- adaptive PID control
- error backpropagation
- first order time delay systems
- Lyapunov function neural network
- PID tuning
ASJC Scopus subject areas
- Energy(all)
- Engineering(all)
- Computer Science(all)
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Aftab, M. S., & Shafiq, M. (2015). Adaptive PID controller based on Lyapunov function neural network for time delay temperature control. In 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015 [7060094] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEEGCC.2015.7060094