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A novel fractional-order dead-time compensating controller for the wireless networks.
P Arun Mozhi Devan1, Rosdiazli Ibrahim2, Madiah Omar3
1Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Malaysia. arun.selvam@utp.edu.my.
Scientific Reports
|October 17, 2023
Summary
A new fractional calculus-based predictive PI compensator improves wireless industrial control systems. This method enhances stability and reliability, outperforming traditional techniques in handling packet loss and system delays.
Area of Science:
- Control Systems Engineering
- Wireless Communication Networks
- Industrial Process Automation
Background:
- Wireless technologies like WirelessHART, ZigBee, WLAN, and ISA100.11a are crucial in industrial closed-loop systems.
- Wireless networks face challenges including packet loss, latency, and data security, which can destabilize processes.
- Traditional dead-time compensation methods struggle with sluggish performance in wireless environments, especially with long dead times and set-point variations.
Purpose of the Study:
- To propose a novel fractional calculus-based predictive PI compensator for process control in both wired and wireless networks.
- To evaluate the compensator's effectiveness in industrial settings with wireless measurements and control.
- To address the performance limitations of existing methods in wireless industrial control systems.
Main Methods:
- Development and simulation of a fractional calculus-based predictive PI compensator.
- Evaluation on industrial process models (pressure, flow, temperature) using wireless data acquisition.
- Performance assessment considering wireless network metrics: packet loss, throughput, and latency.
Main Results:
- The proposed compensator demonstrated superior set-point tracking, disturbance rejection, and delay compensation compared to traditional methods.
- Evaluations on first, second, and third-order systems showed significant improvements.
- The compensator reduced overshoot by nearly half and achieved faster settling times (average 8.3927% improvement).
Conclusions:
- The fractional calculus-based predictive PI compensator enhances the performance, stability, and reliability of wireless industrial control systems.
- This technique effectively mitigates issues associated with wireless networks like packet loss and latency.
- The proposed method offers a robust solution for modern process control industries utilizing wireless communication.
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