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Vol. 16, Special Issue, November 2012, pp. 27-34




Design and Simulation of the Air Compressor Control System


Yuan He, Gongfa Li, Po Gao, Zehao WU and Cunyuan Li

College of Machinery and Automation,

Wuhan University of Science and Technology, Hubei, 430081, China

Tel.: 086-027-68862283

E-mail: heyuan123007@126.com


Received: 11 September 2012   /Accepted: 11 October 2012   /Published: 20 November 2012

Digital Sensors and Sensor Sysstems


Abstract: The air compressor plays an extremely important role in the production of air separation. It provides the required specifications of compressed air for the follow-up air separation processes. The air compressor system is a time-varying, delay and nonlinear complex system, so its design is difficult to achieve the on-site production requirements. Using computer simulation software to simulate the system control program has become an integral part of the process of control system design. Simulink blocks in the Matlab simulation software was used to do modeling and simulation calculation of the air compressor control system. Through the comparisons between the more conventional PID control method and fuzzy self-tuning PID control method in the air compressor, the conclusion can be drawn that the fuzzy self-tuning PID control has a stronger anti-disturbance ability, and it can reach a steady state more easily in the system control. This paper can provide certain theoretical rates to the study of air compressor control system.


Keywords: Air compressor, Control simulation, Fuzzy intelligent control, Conventional PID control, Fuzzy self-tuning PID control



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