2022/05/23 by Josiane Maria de Macedo Fernandes, Fernandes, Josiane Maria de Macedo, Marcelo Costa Tanaka +3 · 3 citations
Computer Science · Engineering · Mathematics · #Advanced Sensor and Control Systems #Control Systems in Engineering #FOS: Electrical engineering #FOS: Mathematics #Hydraulic and Pneumatic Systems #Optimization and Control (math.OC) #Systems and Control (eess.SY) #cs.SY #eess.SY #electronic engineering #information engineering #math.OC
paper · pdf · doi:10.48550/arxiv.2205.13343
References added. This is a slightly updated version of the work presented at DINAME 2013 - XV International Symposium on Dynamic Problems of Mechanics, 2013, Armação de Búzios, Brazil
openalex publication_date 2022/05/23 · arxiv created 2022/06/15 · arxiv updated 2022/06/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Electro-hydraulic servo-systems are widely employed in industrial applications such as robotic manipulators, active suspensions, precision machine tools and aerospace systems. They provide many advantages over electric motors, including high force to weight ratio, fast response time and compact size. However, precise control of electro-hydraulic systems, due to their inherent nonlinear characteristics, cannot be easily obtained with conventional linear controllers. Most flow control valves can also exhibit some hard nonlinearities such as dead-zone due to valve spool overlap. This work describes the development of a sliding mode controller with a neural network compensation scheme for electro-hydraulic systems subject to an unknown dead-zone input. The boundedness and convergence properties of the closed-loop signals are proven using Lyapunov stability theory. Numerical results are presented in order to demonstrate the control system performance.