Adaptive robust cross-coupling position synchronization control of a hydraulic press slider-leveling
1Faculty of Mechanical and Electronical Engineering, Kunming University of Science and Technology, Kunming, China.
Science Progress
|January 28, 2021
Summary
This study introduces an adaptive robust control (ARC) strategy combined with cross-coupling control (CCC) for precise synchronized motion in four-axis hydraulic systems. The proposed method significantly enhances trajectory tracking accuracy and system stability.
Area of Science:
- Control Engineering
- Robotics
- Mechatronics
Background:
- Hydraulic systems require precise synchronized motion for applications like slider-leveling.
- Existing control methods struggle with parameter uncertainties and external disturbances.
- Achieving high-performance trajectory tracking in multi-axis systems remains a challenge.
Purpose of the Study:
- To develop and validate an adaptive robust cross-coupling control (ARC+CCC) strategy for four-axis hydraulic slider-leveling systems.
- To improve the synchronized motion trajectory tracking performance.
- To address parameter estimation errors, unmodeled dynamics, and disturbances.
Main Methods:
- Integration of a nonlinear adaptive robust control (ARC) controller with a cross-coupling control (CCC) controller.
- Design of a discontinuous projection-based ARC controller.
- Implementation of a robust control method with dynamic compensation and fast adaptation.
- Stability analysis using Lyapunov theory.
Main Results:
- The proposed ARC controller achieved a maximum single-axis tracking error within -0.06 mm.
- The integrated ARC+CCC controller demonstrated a maximum inter-axis synchronization error within ±0.1 mm.
- The control system exhibited asymptotic convergence of trajectory tracking errors to zero, confirming stability and good transient behavior.
Conclusions:
- The proposed ARC+CCC control scheme effectively enhances synchronization motion performance in four-axis hydraulic systems.
- Parameter adaptation and robust control laws successfully mitigate uncertainties and disturbances.
- The strategy guarantees excellent trajectory tracking and system stability.
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