Journal ArticleDOI
Adaptive position control of electrohydraulic servo systems using ANN
Torsten Knohl,Heinz Unbehauen +1 more
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TLDR
In this article, an adaptive position control using artificial neural networks (ANNs) was proposed for a 4/3 way proportional valve, a differential cylinder and a variable load force.About:
This article is published in Mechatronics.The article was published on 2000-02-01. It has received 129 citations till now. The article focuses on the topics: Adaptive control & Control theory.read more
Citations
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Journal ArticleDOI
Position control of nonlinear hydraulic system using an improved PSO based PID controller
TL;DR: In this article, an improved particle swarm optimization (PSO) algorithm is presented to search for the optimal proportional-integral-derivative (PID) controller gains for the nonlinear hydraulic system.
Journal ArticleDOI
Sliding Mode Control with Adaptive Fuzzy Dead-Zone Compensation of an Electro-hydraulic Servo-System
TL;DR: This work describes the development of an adaptive fuzzy sliding mode controller for an electro-hydraulic system with unknown dead-zone and the boundedness and convergence properties of the closed-loop signals are proven using Lyapunov stability theory and Barbalat’s lemma.
Journal ArticleDOI
A practical method for friction identification in hydraulic actuators
TL;DR: In this article, an exponential Stribeck friction model is used to fit two lines on the experimental data relating steady-state velocities to actuator pressure differentials, and the parameters of the fitted lines are obtained using an iterative optimization technique.
Journal ArticleDOI
Simulation and hybrid fuzzy-PID control for positioning of a hydraulic system
Saban Cetin,Ali Volkan Akkaya +1 more
TL;DR: This paper presents modeling and position control of a hydraulic actuation system consisting of an asymmetric hydraulic cylinder driven by a four way, three position proportional valve and demonstrates that Hybrid Fuzzy PID Controller with Coupled Rules is more effective than other controllers.
Journal ArticleDOI
Practical nonlinear predictive control algorithms for neural Wiener models
TL;DR: In this article, three nonlinear MPC algorithms for neural Wiener models are described for two nonlinear processes: a polymerization reactor and a neutralization reactor. But none of the discussed algorithms do not need an inverse of the steady-state part of the model.
References
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Journal Article
Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks
David S. Broomhead,David Lowe +1 more
TL;DR: The relationship between 'learning' in adaptive layered networks and the fitting of data with high dimensional surfaces is discussed, leading naturally to a picture of 'generalization in terms of interpolation between known data points and suggests a rational approach to the theory of such networks.
Book ChapterDOI
Computer Controlled Systems
TL;DR: The degree of success of a computer control application depends mainly on the effectiveness of the algorithm, which is generally designed from plant specifications and desired performance characteristics.
Journal ArticleDOI
Adaptive control of plants with unknown hystereses
Gang Tao,Petar V. Kokotovic +1 more
TL;DR: Simulations show that the use of the adaptive hysteresis inverse leads to major improvements of system performance.
Journal ArticleDOI
Neural Networks for Nonlinear Dynamic System Modelling and Identification
Sheng Chen,Stephen A. Billings +1 more
TL;DR: This paper addresses the issues related to the identification of nonlinear discrete-time dynamic systems using neural networks with particular attention to the connections between existing techniques for nonlinear systems identification and some aspects of neural network methodology.
Related Papers (5)
Mathematical modelling and fuzzy logic based position control of an electrohydraulic servosystem with internal leakage
Mete Kalyoncu,Mustafa Haydim +1 more