This paper builds on the existing adaptive robust control (ARC) synthesis method introduced by Yao et al. and presents a new method to synthesize ARCs. Based on dynamic backstepping, the approach explicitly addresses the uncertain dynamics which enters into the system via the higher-order channels of the state-space model. As such, the proposed dynamic ARC (D-ARC) method addresses the inherent weakness of the original approach where uncertainty in the higher-order channels is ignored. The proposed approach is illustrated in simulations for controlling a voice coil motor (VCM) actuator that serves as a read/write head for a single-stage hard disk drive (HDD). The effectiveness of the resulting D-ARC controller is validated by considering the transient performance, tracking errors, and disturbance rejection of the VCM operating in both the track-seeking and track-following modes.
Skip Nav Destination
Article navigation
July 2016
Research-Article
Dynamic Adaptive Robust Backstepping Control Design for an Uncertain Linear System
Hadi Hajieghrary,
Hadi Hajieghrary
Scalable Autonomous Systems Lab,
Drexel University,
Philadelphia, PA 19104
e-mail: Hadi.Hajieghrary@drexel.edu
Drexel University,
Philadelphia, PA 19104
e-mail: Hadi.Hajieghrary@drexel.edu
Search for other works by this author on:
M. Ani Hsieh
M. Ani Hsieh
Associate Professor
Scalable Autonomous Systems Lab,
Drexel University,
Philadelphia, PA 19104
e-mail: MHsieh1@drexel.edu
Scalable Autonomous Systems Lab,
Drexel University,
Philadelphia, PA 19104
e-mail: MHsieh1@drexel.edu
Search for other works by this author on:
Hadi Hajieghrary
Scalable Autonomous Systems Lab,
Drexel University,
Philadelphia, PA 19104
e-mail: Hadi.Hajieghrary@drexel.edu
Drexel University,
Philadelphia, PA 19104
e-mail: Hadi.Hajieghrary@drexel.edu
M. Ani Hsieh
Associate Professor
Scalable Autonomous Systems Lab,
Drexel University,
Philadelphia, PA 19104
e-mail: MHsieh1@drexel.edu
Scalable Autonomous Systems Lab,
Drexel University,
Philadelphia, PA 19104
e-mail: MHsieh1@drexel.edu
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received January 30, 2015; final manuscript received February 24, 2016; published online May 9, 2016. Assoc. Editor: Fu-Cheng Wang.
J. Dyn. Sys., Meas., Control. Jul 2016, 138(7): 071004 (8 pages)
Published Online: May 9, 2016
Article history
Received:
January 30, 2015
Revised:
February 24, 2016
Citation
Hajieghrary, H., and Ani Hsieh, M. (May 9, 2016). "Dynamic Adaptive Robust Backstepping Control Design for an Uncertain Linear System." ASME. J. Dyn. Sys., Meas., Control. July 2016; 138(7): 071004. https://doi.org/10.1115/1.4033019
Download citation file:
Get Email Alerts
Cited By
Offline and online exergy-based strategies for hybrid electric vehicles
J. Dyn. Sys., Meas., Control
Optimal Control of a Roll-to-Roll Dry Transfer Process With Bounded Dynamics Convexification
J. Dyn. Sys., Meas., Control (May 2025)
In-Situ Calibration of Six-Axis Force/Torque Transducers on a Six-Legged Robot
J. Dyn. Sys., Meas., Control (May 2025)
Active Data-enabled Robot Learning of Elastic Workpiece Interactions
J. Dyn. Sys., Meas., Control
Related Articles
Experimental Study on an Electric Variable Valve Timing Actuator: Linear Parameter Varying Modeling and Control
J. Dyn. Sys., Meas., Control (October,2017)
A New Model-Based Control Structure for Position Tracking in an Electro-Hydraulic Servo System With Acceleration Constraint
J. Dyn. Sys., Meas., Control (December,2017)
A Note on Observer-Based Frequency Control for a Class of Systems Described by Uncertain Models
J. Dyn. Sys., Meas., Control (February,2018)
Tracking Controller Design for MIMO Nonlinear Systems With Application to Automotive Cold Start Emission Reduction
J. Dyn. Sys., Meas., Control (October,2015)
Related Proceedings Papers
Related Chapters
Fault-Tolerant Control of Sensors and Actuators Applied to Wind Energy Systems
Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems
Dynamic Simulations to Become Expert in Order to Set Fuzzy Rules in Real Systems
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
QP Based Encoder Feedback Control
Robot Manipulator Redundancy Resolution