MPC-Based Reference Governors for Thermostatically Controlled Residential Buildings

被引：0

作者：

Drgona, Jan ^{[1
]}

Klauco, Martin ^{[1
]}

Kvasnica, Michal ^{[1
]}

机构：

[1] Slovak Univ Technol Bratislava, Inst Informat Engn Automat & Math, Bratislava, Slovakia

来源：

2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2015年

关键词：

MODEL-PREDICTIVE CONTROL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper tackles the design of a reference governor strategy based on model predictive control (MPC) which allows to improve economics of conventional relay-based thermostats in residential buildings. In this set up, MPC serves as a supervisory controller which generates optimal setpoints for the thermostat. The thermostat, which operates in an on/off manner, then controls the heating actuator that influences the indoor temperature. We show how to include the dynamical behavior of such a thermostat into the MPC optimization problem. Optimal setpoints can then be obtained by solving a mixed integer linear programming problem. Efficiency of the proposed strategy is verified on a simulation case study.

引用

页码：1334 / 1339

页数：6

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