• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2025, Vol. 61 ›› Issue (24): 295-310.doi: 10.3901/JME.2025.24.295

Previous Articles    

Research on Pressure Compensation Control Based on Model Reference Adaptive Control

FENG Junxue1,2,3,4, JIA Cunde1,2,3, KONG Xiangdong1,2,3, LI Bowen1,2,3, ZHAO Zhewei1,2,3, DING Beichen5, JIANG Wenguang1,2,3, AI Chao1,2,3   

  1. 1. State Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao 066004;
    2. School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004;
    3. Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University, Qinhuangdao 066004;
    4. Beizi (Beijing) Testing Technology Development Co. Ltd. Beijing 100120;
    5. School of Advanced Manufacturing, Sun Yat-sen University, Shenzhen 518107
  • Received:2025-01-26 Revised:2025-07-11 Published:2026-01-26

Abstract: The rotary drilling rig, as the most widely used equipment in foundation construction, relies on its drilling efficiency as the core competitive strength. However, after long-term service, the pressurization system inevitably experiences performance degradation, which seriously affects pressure control and even lead to a loss of pressure, thereby impacting both construction efficiency and quality. First, a parameter identification model is established using the recursive least squares method with a forgetting factor, which is used to identify the degraded parameters and determine the health status of the pressurization system. Then, based on model reference adaptive control theory, an adaptive compensation controller for pressurization is designed to compensate for the degraded pressurization system. A performance degradation compensation method, coupling health monitoring and compensation control for the pressurization system, is proposed. Simulation and experimental results show that the controller can effectively improve the pressure output of the faulty rig, thus enhancing construction efficiency. Under the same experimental conditions, compared to the original rig, the pressure output of the measured rig increased by 17.8%, and drilling efficiency improved by 8.8%, verifying the effectiveness and feasibility of the controller.

Key words: rotary drilling rig, pressure system, health monitoring, least squares algorithm, model reference adaptive control

CLC Number: