Model Predictive Control of a Cold Room for an Agriculture Application

R. J. Sebastian, D. Patiño
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Abstract

Model Predictive Control (MPC), is popular in control system theory, due to their advantageous characteristics of constraints for the control signal and the possibility of measure indirectly the states. This paper presents the design of an MPC controller for a post-harvest refrigeration system in floriculture. The design is based on the simulation of different conditions. Different tests are carried out with mismatches in the state matrix in order to know whether the MPC is able to respond to such changes. A comparison is also made with an state feedback plus observer proving that the MPC has a better behavior against mismatches.
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农业用冷室模型预测控制
模型预测控制(MPC)以其对控制信号具有约束条件和可间接测量状态的优点,在控制系统理论中得到广泛应用。本文介绍了一种用于花卉采收后制冷系统的MPC控制器的设计。本设计是基于不同工况的仿真。在状态矩阵不匹配的情况下进行不同的测试,以了解MPC是否能够响应这种变化。并与状态反馈加观测器进行了比较,证明了MPC具有更好的抗不匹配行为。
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