Adaptive Control for Hydraulic Servo Position System with Bounded Input

Authors

Jianfei Shi, College of Information Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China;
Shujuan Yi, College of Information Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China;

Abstract

Abstract: An adaptive state feedback controller based on neural network fitting was proposed for hydraulic servo position systems containing parameter uncertainties, external disturbance and bounded input problem. Taking the saturation characteristic into account sufficiently, the adaptive state feedback trajectory tracking controller was designed with an adaptive law to real-timely adjust the disturbance parameters and the bounded hyperbolic tangent functions to promise the bounded of the control law. Moreover, the complete stability and performance analysis were presented using Lyapunov theory. Simulation results show the effectiveness of the designed controller for the trajectory tracking in the present of actuators saturation.

Recommended Citation

Shi, Jianfei and Yi, Shujuan (2020) "Adaptive Control for Hydraulic Servo Position System with Bounded Input," Journal of System Simulation: Vol. 29: Iss. 3, Article 28.
DOI: 10.16182/j.issn1004731x.joss.201703028
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss3/28

First Page

676

Revised Date

2016-06-26

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201703028

Last Page

682

CLC

TP273

Recommended Citation

Shi Jianfei, Yi Shujuan. Adaptive Control for Hydraulic Servo Position System with Bounded Input[J]. Journal of System Simulation, 2017, 29(3): 676-682.

DOI

10.16182/j.issn1004731x.joss.201703028