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

• Published in: PeerJ. Computer science Vol. 10; p. e1765
• Main Authors: Fang, Hui, Yang, Shusong, Shi, Ying, Wang, Yang, Jiang, Yue, Song, Chaochao, Zhang, Wei
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 22.01.2024; PeerJ, Inc; PeerJ Inc
• Subjects: Adaptive and Self-Organizing Systems; Air conditioning; Alarm systems; Algorithms; Algorithms and Analysis of Algorithms; Artificial Intelligence; BAS; Building automation; Building management systems; Communication; Control algorithms; Control systems; Control theory; Controllers; Cooperative control; Cooperative control solution; Data Mining and Machine Learning; Design specifications; Drainage; Dynamic optimization algorithm; Efficiency; Electric alarms; Elevators & escalators; Energy consumption; Equipment and supplies; Fire alarm systems; Fire extinction; Fuzzy control; Fuzzy PID control algorithm; Monitoring systems; Proportional integral derivative; Public transportation; Social Computing; Subways; Supervisory control; Time lag; Traffic congestion; Transportation industry; Transportation planning; Urban rail; Ventilation; Water supply; Working conditions; China; Dynamic optimization algorithm; Fuzzy PID control algorithm; BAS; Cooperative control solution
• ISSN: 2376-5992; 2376-5992
• DOI: 10.7717/peerj-cs.1765

The building automation system (BAS) of a subway is the core component of monitoring and managing urban rail transit systems. For the current problems such as low control efficiency, insufficient accuracy, and poor stability of metro BAS, this article proposes a cooperative control framework based on an improved fuzzy proportional-integral-derivative (PID) algorithm. Firstly, the concept of an integrated supervisory control system (ISCS) for subways is introduced by summarizing the previously implemented engineering construction and combining it with advanced automation technology. The system’s overall design under the ISCS framework is also improved by integrating it with the fire alarm system (FAS) with the BAS as the core unit of the reliance. Then, an improved seeker optimization algorithm (ISOA) is employed to optimize the parameters of the fuzzy PID control algorithm to achieve a coordinated control of the system based on considering the time lag problem. Finally, the accuracy, efficiency, and stability of the coordinated control response of the BAS under the ISCS framework are tested experimentally. The results suggest that the proposed cooperative control solution of BAS employing the improved fuzzy PID algorithm has good control accuracy and response efficiency and can also ensure the BAS’s higher stability in the coordinated control process, which thus greatly improves the automation level of the subway and provides a safer and more reliable high-performance for the ISCS of the subway in the urban rail transportation industry.