Experimental study demonstrates enhanced tracking accuracy and disturbance rejection in electro-hydraulic proportional valves, highlighting a robust solution for industrial automation.
Electro-hydraulic proportional valves are critical components in high-precision industrial control systems, where nonlinear dynamics, hysteresis effects, and time-varying disturbances significantly affect control accuracy and system stability. To address these challenges, this study proposes a data-enhanced dynamic-response modeling framework and an adaptive sliding-mode control strategy. A hybrid modeling approach integrating mechanism-based analysis and experimental data fusion is established to characterize nonlinear coupling among electromagnetic force, hydraulic pressure, and spool displacement. An adaptive sliding-mode controller with online gain adjustment is further developed to improve disturbance rejection and parameter adaptation. Simulation and experimental results demonstrate significant reductions in rise time, overshoot, and steady-state error compared with conventional PID control. The framework provides an effective solution for nonlinear system modeling and intelligent control in industrial automation environments.
No takes yet. Share an insight, caveat, or question.
Zhao et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: