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Adaptive fuzzy control of electrohydraulic servosystems

2022/05/31 by Wallace Moreira Bessa, Bessa, Wallace Moreira, Max Suell Dutra +3
Engineering · #Adaptive control #Advanced Algorithms and Applications #Advanced Sensor and Control Systems #Aerospace #Artificial intelligence #Computer science #Control (management) #Control engineering #Control system #Control theory (sociology) #Controller (irrigation) #Dead zone #Engineering #FOS: Electrical engineering #FOS: Mathematics #Fuzzy control system #Fuzzy logic #Hydraulic and Pneumatic Systems #Lyapunov function #Lyapunov stability #Nonlinear system #Optimization and Control (math.OC) #Physics #Stability (learning theory) #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2205.15639

openalex publication_date 2022/05/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Abstract

Electrohydraulic servosystems 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 electrohydraulic actuated 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 an adaptive fuzzy controller for electrohydraulic actuated systems with unknown dead-zone. The stability properties of the closed-loop systems was proven using Lyapunov stability theory and Barbalat's lemma. Numerical results are presented in order to demonstrate the control system performance.

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