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Issue title: Applications of intelligent & fuzzy theory in engineering technologies and applied science
Guest editors: Álvaro Rocha
Article type: Research Article
Authors: Chen, Xuna; b | Xu, Li-shenga | Xu, Menga; *
Affiliations: [a] School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China | [b] Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China
Correspondence: [*] Corresponding author. Meng Xu, School of Geosciences and Info-Physics, Central South University, Changsha, Hunan 410083, China. E-mail: sky1125baby@163.com.
Abstract: To solve the issues during grouting, such as low accuracy in grouting pressure detection, lack of stability, and tedious manual control work for pressure, a new adaptive control system for grouting pressure stability was designed based on single-chip technology, sensor technology, and automatic control technology for online detection and stability control of grouting parameters. The grouting simulating test bed was designed based on the actual grouting pipeline system in the project. The experiment tests were conducted by adjusting the following parameters: flow characteristics of the grouting pump, instantaneous flow pulsation variation law, and P-Q (pressure–quantity of flow) performance. Subsequently, the damping characteristics of valve under different pressures and pipeline hydraulic power balance control equations were proposed. Based on the experimental tests, whereby the opening of perturbation valve V01 was regulated and changed to create pressure fluctuations, changes at different pressure values are obtained. On the basis of fuzzy control algorithm tuning the parameters Kp, Ki, and Kd of Proportion, Integration, Differentiation (PID), the PID controller that varied the regulating signal and maintained a given pressure in grouting system was afforded. Finally, the reliability of the adaptive control system for grouting pressure stability was demonstrated by the application in rock mass curtain grouting project. The accuracy of automatic pressure control was maintained within 5% of the set value, and the control response time was 2 s to 3 s, thereby showing the high accuracy, fast response, and good stability of the designed system.
Keywords: Grouting pressure, stability, adaptive control, fuzzy algorithm
DOI: 10.3233/JIFS-169063
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2231-2239, 2016
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