This paper studies control problems of underactuated mechanical systems with model uncertainties. The control is designed with the method of backstepping. The first-order low-pass filters are used to estimate the unknown quantities and to avoid the “explosion of terms.” A novel method is also proposed to implement the control without the knowledge of the control coefficient, which makes the whole process of backstepping control data-driven. The stability of the proposed control in the Lyapunov sense is studied. It is numerically and experimentally validated, and compared with the well-known model-based linear quadratic regulator (LQR) control. The data-driven backstepping control is found to provide comparable performances to that of the LQR control with the advantage of being model-free and robust.
Skip Nav Destination
Article navigation
September 2019
Research-Article
Data-Driven Backstepping Control of Underactuated Mechanical Systems
Jingwen Huang,
Jingwen Huang
Beijing University of Chemical Technology,
Beijing 100029, China
Beijing 100029, China
Search for other works by this author on:
Tingting Zhang,
Tingting Zhang
Beijing University of Chemical Technology,
Beijing 100029, China
Beijing 100029, China
Search for other works by this author on:
Jian-Qiao Sun
Jian-Qiao Sun
Fellow ASME
Department of Mechanical Engineering,
School of Engineering,
University of California, Merced,
Merced, CA 95343
Department of Mechanical Engineering,
School of Engineering,
University of California, Merced,
Merced, CA 95343
1Corresponding author.
Search for other works by this author on:
Jingwen Huang
Beijing University of Chemical Technology,
Beijing 100029, China
Beijing 100029, China
Tingting Zhang
Beijing University of Chemical Technology,
Beijing 100029, China
Beijing 100029, China
Jian-Qiao Sun
Fellow ASME
Department of Mechanical Engineering,
School of Engineering,
University of California, Merced,
Merced, CA 95343
Department of Mechanical Engineering,
School of Engineering,
University of California, Merced,
Merced, CA 95343
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received November 20, 2018; final manuscript received March 7, 2019; published online April 9, 2019. Assoc. Editor: Xuebo Zhang.
J. Dyn. Sys., Meas., Control. Sep 2019, 141(9): 091003 (7 pages)
Published Online: April 9, 2019
Article history
Received:
November 20, 2018
Revised:
March 7, 2019
Citation
Huang, J., Zhang, T., and Sun, J. (April 9, 2019). "Data-Driven Backstepping Control of Underactuated Mechanical Systems." ASME. J. Dyn. Sys., Meas., Control. September 2019; 141(9): 091003. https://doi.org/10.1115/1.4043154
Download citation file:
Get Email Alerts
Cited By
Design of Attack Resistant Robust Control Based on Intermediate Estimator Approach for Offshore Steel Jacket Structures
J. Dyn. Sys., Meas., Control (September 2025)
Motion Control Along Spatial Curves for Robot Manipulators: A Noninertial Frame Approach
J. Dyn. Sys., Meas., Control (September 2025)
Associate Editor's Recognition
J. Dyn. Sys., Meas., Control (July 2025)
Related Articles
Discrete Sliding-Mode Tracking Control of High-Displacement Piezoelectric Actuator Systems
J. Dyn. Sys., Meas., Control (December,2004)
A Performance Enhancement Scheme for Robust Repetitive Control System
J. Dyn. Sys., Meas., Control (March,2004)
Vibration and Position Tracking Control of Piezoceramic-Based Smart Structures Via QFT
J. Dyn. Sys., Meas., Control (March,1999)
Design and Analysis for Uncertain Repetitive Control Systems With Unknown Disturbances
J. Dyn. Sys., Meas., Control (December,2018)
Related Proceedings Papers
Related Chapters
An Approach for System Development Using Evolutionary Probabilistic Strategy and Grammar Rules
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
Fault-Tolerant Control of Sensors and Actuators Applied to Wind Energy Systems
Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems
Advances in the Stochastic Modeling of Constitutive Laws at Small and Finite Strains
Advances in Computers and Information in Engineering Research, Volume 2