A new cooperative control solution of subway BAS: an improved fuzzy PID control algorithm.

Area of Science:

• Building Automation Systems (BAS)
• Urban Rail Transit Control
• Fuzzy Logic Control

Background:

• Subway BAS face challenges with low efficiency, accuracy, and stability.
• Existing systems require advanced automation for effective monitoring and management.
• Integration of disparate systems like fire alarm systems (FAS) is crucial.

Purpose of the Study:

• To propose a cooperative control framework for subway BAS.
• To improve the performance of BAS by addressing control inefficiencies.
• To enhance the safety and reliability of urban rail transit systems.

Main Methods:

• Developed an integrated supervisory control system (ISCS) framework.
• Implemented an improved fuzzy proportional-integral-derivative (PID) algorithm.
• Optimized fuzzy PID parameters using an improved seeker optimization algorithm (ISOA) to manage time lag.

Main Results:

• The proposed cooperative control framework demonstrated good control accuracy.
• The system exhibited enhanced response efficiency and stability.
• Significant improvements in the overall automation level of subway operations were observed.

Conclusions:

• The improved fuzzy PID algorithm effectively enhances subway BAS performance.
• The cooperative control framework provides a safer and more reliable solution for urban rail transit.
• This approach significantly elevates the automation and safety standards for subway ISCS.