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

Asad A. Ul Haq | Zendy; Michael E. Cholette | Zendy; Dragan Djurdjanović | Zendy

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

Author(s) -

Asad A. Ul Haq,

Michael E. Cholette,

Dragan Djurdjanović

Publication year - 2016

Publication title -

journal of dynamic systems measurement and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 89

eISSN - 1528-9028

pISSN - 0022-0434

DOI - 10.1115/1.4035096

Subject(s) - control theory (sociology) , model predictive control , variable air volume , trajectory , controller (irrigation) , nonlinear system , discrete time and continuous time , sliding mode control , stability (learning theory) , computer science , hvac , engineering , air conditioning , mathematics , control (management) , artificial intelligence , mechanical engineering , agronomy , statistics , physics , quantum mechanics , astronomy , machine learning , biology

In this paper a Dual-Mode Model Predictive / Linear Control method is presented, which extends the concept of dual-mode Model Predictive Control 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 towards 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 of a two-zone Variable Air Volume (VAV) Heating, Ventilation and Air Conditioning system

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