Developing control systems to improve motion tracking of electro-hydraulic systems subjected to external load

In this study, a state-of-the-art methodology for controlling an electro-hydraulic system is proposed. The aim is to achieve superior position tracking performance comparable to that of an electro-hydraulic servo valve system. To achieve this, a suite of linear and nonlinear control techniques—inclu...

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Bibliographic Details
Published in:International journal of dynamics and control 2024-03, Vol.12 (3), p.761-773
Main Authors: Khedr, Omar Hesham, Maged, Shady A., Al-Oufy, Affaf Khamis, Awad, Mohammed Ibrahim
Format: Article
Language:English
Subjects:
Complexity
Control
Control and Systems Theory
Controllers
Dynamical Systems
Engineering
Hydraulic equipment
Linear control
Neural networks
Nonlinear control
Nonlinearity
Predictive control
Proportional integral derivative
Servovalves
Sliding mode control
State-of-the-art reviews
System dynamics
Tracking control
Vibration
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Summary:In this study, a state-of-the-art methodology for controlling an electro-hydraulic system is proposed. The aim is to achieve superior position tracking performance comparable to that of an electro-hydraulic servo valve system. To achieve this, a suite of linear and nonlinear control techniques—including PID, LQR, sliding mode, model predictive control (MPC), and neural network MPC controllers—are designed and tested based on system dynamics approximation. The controllers are optimized to effectively address the challenges posed by various loads, uncertainties, nonlinearities, internal leakage, chattering, and overshooting in the electro-hydraulic system. The proposed approach is both practical and effective, as demonstrated by simulation and experimental results. Comparative analysis reveals that the neural network MPC controller exhibits exceptional tracking performance and stability, with a smooth response and quick settling time.
ISSN:2195-268X
2195-2698
DOI:10.1007/s40435-023-01228-z