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Journal ArticleDOI

Adaptive integral robust control of hydraulic systems with asymptotic tracking

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TLDR
In this paper, an adaptive integral robust controller is developed for high accuracy motion tracking control of a double-rod hydraulic actuator, which takes unknown constant parameters including the load and hydraulic parameters, and lumped unmodeled disturbances in inertia load dynamics and pressure dynamics into consideration.
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This article is published in Mechatronics.The article was published on 2016-12-01. It has received 44 citations till now. The article focuses on the topics: Adaptive control & Robust control.

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Citations
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Journal ArticleDOI

Output Feedback Control of Electro-Hydraulic Servo Actuators With Matched and Mismatched Disturbances Rejection

TL;DR: Two output feedback controllers are proposed for motion control of double-rod electro-hydraulic servo actuators with matched and mismatched disturbances rejection and one of the proposed control schemes utilizes model-based compensation terms depending on the desired trajectory to be tracked instead of the estimated system states.
Journal ArticleDOI

Optimized PID Controller Based on Beetle Antennae Search Algorithm for Electro-Hydraulic Position Servo Control System.

TL;DR: Comparing the effectiveness of different algorithms, simulation and experimental results revealed that the BAS-PID controller can greatly enhance the performance of the electro-hydraulic position servo control system and inhibit external disturbances when different interference signals are used to test the system’s robustness.
Journal ArticleDOI

Nonlinear Adaptive Output Feedback Robust Control of Hydraulic Actuators With Largely Unknown Modeling Uncertainties

TL;DR: The presented hydraulic closed-loop controller which can deal with strong matched and mismatched parametric uncertainties is synthesized via the backstepping technique and the global stability of the whole closed- loop system is strictly guaranteed by the Lyapunov analysis.
Journal ArticleDOI

A new adaptive sliding mode controller based on the RBF neural network for an electro-hydraulic servo system.

TL;DR: In this article , a new adaptive sliding mode control method based on the RBF neural networks (SMC-RBF) is proposed to improve the performances of a robotic excavator.
References
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Book

Nonlinear and adaptive control design

TL;DR: In this paper, the focus is on adaptive nonlinear control results introduced with the new recursive design methodology -adaptive backstepping, and basic tools for nonadaptive BackStepping design with state and output feedbacks.
Book

Hydraulic Control Systems

TL;DR: In this article, the authors present an overview of the properties of hydraulic fluids and hydraulic power in control systems, including pressure and flow control Valves, and hydraulic pumps and motors.
Journal ArticleDOI

Continuous finite-time control for robotic manipulators with terminal sliding modes

TL;DR: A continuous finite-time control scheme for rigid robotic manipulators is proposed using a new form of terminal sliding modes using the Lyapunov stability theory, and theoretical analysis and simulation results show that faster and high-precision tracking performance is obtained.
Journal ArticleDOI

Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form

TL;DR: This paper considers the adaptive robust control of a class SISO nonlinear systems in a semi-strict feedback form and develops a systematic way to combine the backstepping adaptive control with deterministic robust control.
Journal ArticleDOI

Extended-State-Observer-Based Output Feedback Nonlinear Robust Control of Hydraulic Systems With Backstepping

TL;DR: The proposed controller theoretically guarantees a prescribed tracking transient performance and final tracking accuracy, while achieving asymptotic tracking performance in the absence of time-varying uncertainties, which is very important for high-accuracy tracking control of hydraulic servo systems.
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