运动学
控制理论(社会学)
测光模式
控制工程
运动控制
计算机科学
自适应控制
控制系统
水力机械
鲁棒控制
稳健性(进化)
工程类
控制(管理)
人工智能
机器人
物理
机械工程
化学
电气工程
基因
生物化学
经典力学
作者
Yong Zhou,Bobo Helian,Zheng Chen,Bin Yao
标识
DOI:10.1109/tii.2025.3556072
摘要
Independent metering systems (IMSs) have shown superior performance in hydraulic industrial applications because of the high power density, large force output, and high control freedom. However, the presence of mechanical safety structures, such as relief valves and replenishing valves, introduces complex constraints that significantly limit performance improvements of the IMS. If the constraints are violated, then some undesirable phenomena, such as cavitation, overflow, and pressure surge, will occur to make the system lose accuracy and stability. In this article, a double-loop control strategy, which combines theouter loop constrained trajectory planner and the inner loop adaptive robust motion controller (ARC), is developed to realize the constrained motion control of the IMS. In the outer loop, both kinematic and dynamic constraints are transformed into time-varying constraints on the replanned trajectory, which are calculated based on the state feedback online to optimize the planner's performance. A time-optimal motion trajectory is planned using a third-order nonlinear filter, ensuring convergence to the original reference while meeting the assigned constraints. In the inner loop, the high-performance ARC controller is designed to make the IMS track the replanned trajectory despite uncertainties and nonlinearities. To demonstrate the constrained performance of the proposed double-loop control framework, experiments with different control strategies are conducted on an IMS test bench.
科研通智能强力驱动
Strongly Powered by AbleSci AI