Journal ArticleDOI
Modeling and identification of electrohydraulic servos
K. Ziaei,Nariman Sepehri +1 more
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TLDR
In this article, the authors discuss some practical issues concerning the identification of electrohydraulic actuators, using discrete-time linear models, and discuss their application in the design of adaptive controllers.About:
This article is published in Mechatronics.The article was published on 2000-10-01. It has received 54 citations till now. The article focuses on the topics: Linear model & Servomechanism.read more
Citations
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Journal ArticleDOI
Friction Effect Analysis of a DC Motor
TL;DR: In this article, the authors deal with experimental method of DC motor friction identification and determine the suitable way of friction modeling for DC motor by means of experimental method done using Newton's mechanics.
Journal ArticleDOI
Real-time electro-hydraulic hybrid system for structural testing subjected to vibration and force loading
TL;DR: In this article, a modified acceleration inverse model compensator (MAIMC) was used to compensate the surplus force disturbance caused by active motion of a shaking table and to obtain high fidelity force loading tracking performance.
Journal ArticleDOI
Design of a Nonlinear Adaptive Controller for an Electrohydraulic Actuator
K. Ziaei,Nariman Sepehri +1 more
Journal ArticleDOI
On-line identification and control of pneumatic servo drives via a mixed-reality environment
TL;DR: In this paper, a method to identify and control electro-pneumatic servo drives in a real-time environment is presented, where a recursive least squares (RLS) algorithm based on the auto-regressive moving-average (ARMA) model is employed to identify the transfer function of the system using a mixed-reality environment.
Journal ArticleDOI
Modeling and controller design of an electro-hydraulic actuator system
TL;DR: The designed PID controller can be applied to the electro-hydraulic system either in simulation or real-time mode and the self-tuning or automatic tuning controller could be developed in future work to increase the reliability of the PID controller.
References
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Journal ArticleDOI
Identification and control of dynamical systems using neural networks
TL;DR: It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems and the models introduced are practically feasible.
Proceedings ArticleDOI
Robust adaptive control
Petros Ioannou,Jing Sun +1 more
TL;DR: In this article, the authors present a model for dynamic control systems based on Adaptive Control System Design Steps (ACDS) with Adaptive Observers and Parameter Identifiers.
Robust adaptive control for hydraulic servosystems
N. D. Vaughan,Andrew Plummer +1 more
TL;DR: In this paper, an indirect self-tuning adaptive controller for an electro-hydraulic positioning system is described, with the addition of a demand filter to reduce noise effects without degrading closed-loop performance.
Journal ArticleDOI
Robust Adaptive Control for Hydraulic Servosystems
Andrew Plummer,N. D. Vaughan +1 more
TL;DR: The application of an indirect (self-tuning) adaptive controller to an electro-hydraulic positioning system is described, and the resulting controller performs well, and adapts rapidly to changes in load stiffness and supply pressure.
Journal ArticleDOI
Adaptive, High Bandwidth Control of a Hydraulic Actuator
James E. Bobrow,K. Lum +1 more
TL;DR: In this article, an adaptive controller is developed for the system that uses full-state feedback for simultaneous parameter identification and tracking control, which takes into account the hydraulic fluid compressibility with an on-line identification scheme.