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Distributed Model Predictive Control for Building Temperature Regulation

Author(s):

Yudong Ma, S. Richter, F. Borrelli
Conference/Journal:

Control and Optimization with Differential-Algebraic Constraints
Abstract:

We study the problem of temperature regulation in a network of building thermal zones. The control objective is to keep zone temperatures within a comfort range while consuming the least energy by using predictive knowledge of weather and occupancy. First, we present a simplified two-mass nonlinear system for modeling thermal zone dynamics. Model identification and validation based on historical measured data are presented. Second, a distributed model-based predictive control (DMPC) is designed for optimal heating and cooling. The DMPC is implemented using sequential quadratic program, dual decomposition, and the fast gradient method. Simulation results show good performance and computational tractability of the resulting scheme.

Year:

2012
Type of Publication:

Book Chapter
Supervisor:

M. Morari

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