0
Technical Brief

A Dual-Mode Model Predictive Control Algorithm Trajectory Tracking in Discrete-Time Nonlinear Dynamic Systems

[+] Author and Article Information
Asad A. Ul Haq

Department of Mechanical Engineering,
The University of Texas at Austin,
Austin, TX 78705
e-mail: asadulhaq@utexas.edu

Michael E. Cholette

Science and Engineering Faculty,
Queensland University of Technology,
Brisbane, QLD 4001, Australia
e-mail: michael.cholette@qut.edu.au

Dragan Djurdjanovic

Department of Mechanical Engineering,
The University of Texas at Austin,
Austin, TX 78705
e-mail: dragand@me.utexas.edu

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received March 31, 2016; final manuscript received October 21, 2016; published online February 9, 2017. Assoc. Editor: Zongxuan Sun.

J. Dyn. Sys., Meas., Control 139(4), 044501 (Feb 09, 2017) (8 pages) Paper No: DS-16-1165; doi: 10.1115/1.4035096 History: Received March 31, 2016; Revised October 21, 2016

In this paper, a dual-mode model predictive/linear control method is presented, which extends the concept of dual-mode model predictive control (MPC) to trajectory tracking control of nonlinear dynamic systems described by discrete-time state-space models. The dual-mode controller comprises of a time-varying linear control law, implemented when the states lie within a sufficiently small neighborhood of the reference trajectory, and a model predictive control strategy driving the system toward that neighborhood. The boundary of this neighborhood is characterized so as to ensure stability of the closed-loop system and terminate the optimization procedure in a finite number of iterations, without jeopardizing the stability of the closed-loop system. The developed controller is applied to the central air handling unit (AHU) of a two-zone variable air volume (VAV) heating, ventilation, and air conditioning (HVAC) system.

FIGURES IN THIS ARTICLE
<>
Copyright © 2017 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Fig. 1

Schematic of the AHU system

Grahic Jump Location
Fig. 2

Results of simulated tracking of a step shift with DMMPLC and PID control. The results include all the output references and achieved trajectories, as well as the fan supply voltage.

Grahic Jump Location
Fig. 3

Results of simulated tracking of a filtered step shift with DMMPLC and PID control. The results include all the output references and achieved trajectories, as well as the fan supply voltage.

Grahic Jump Location
Fig. 4

Results of simulated tracking of a generic trajectory with DMMPLC and PID control. The results include all the output references and achieved trajectories, as well as the fan supply voltage.

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In