Design and implementation of a new fuzzy PID controller for networked control systems.

Area of Science:

• Automation and Control Systems
• Industrial Networking
• Fuzzy Logic Control

Background:

• Networked control systems (NCS) face performance degradation due to transmission delays.
• Cascade control systems are crucial in industrial processes but sensitive to network latency.
• Integrating different industrial controllers (e.g., Smar FF and Siemens PLC) presents communication challenges.

Purpose of the Study:

• To design and implement a networked cascade control system using Smar FF and Siemens PLC over Industrial Ethernet.
• To investigate PID controller performance in different configurations (Function Block vs. NCS).
• To propose and validate a novel fuzzy PID control strategy to mitigate transmission delay effects in NCS.

Main Methods:

• Implementation of a networked cascade control system linking Smar FF and Siemens PLC via Industrial Ethernet.
• Comparison of PID controller performance in Function Block (FB) and Networked Control System (NCS) configurations.
• Development of a fuzzy PID control strategy by sectionalizing the error signal into three zones with fuzzy membership factors.

Main Results:

• The proposed fuzzy PID control strategy effectively improves the performance of the networked-based control system.
• The fuzzy PID scheme demonstrates robustness against varying transmission delays.
• The study validates the effectiveness of sectionalizing error signals for improved control objectives.

Conclusions:

• The novel fuzzy PID control strategy offers a significant improvement for networked cascade control systems facing transmission delays.
• The implemented platform provides a practical basis for advanced industrial control solutions.
• Fuzzy logic-based approaches are effective in enhancing the performance of NCS in industrial environments.