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Temperature control of multidimensional system using decoupled MPC controllers

机译:使用解耦MPC控制器的多维系统温度控制

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This paper presents the connection between predictive control and simplification of MIMO system. A model of a part of administrative building is used to observe mutual thermal interactions between individual offices. Multivariable sixth-order system is converted into six linear mutually individual systems of first-order by input-output linearization (decoupling). These SISO systems are controlled by predictive a controller focusing on the accuracy of the room temperature respecting office occupancy profile. Included constraints make from control task the problem of quadratic programming. The final control structure takes advantage of the low computational burden of simple predictive controller and network communication, which ensures the inclusion of constraints. The mutual effect of the output variables and time response of control action is compared in a simulation study.
机译:本文介绍了预测控制与MIMO系统简化之间的联系。行政大楼一部分的模型用于观察各个办公室之间的相互热相互作用。通过输入-输出线性化(去耦),将多变量六阶系统转换为六个线性的相互独立的一阶系统。这些SISO系统由预测性控制器来控制,该控制器着重于考虑到办公室占用情况的室温精度。所包含的约束使控制任务成为二次编程的问题。最终控制结构利用了简单的预测控制器和网络通信所需的低计算量,从而确保了约束的包含。在模拟研究中比较了输出变量和控制动作的时间响应的相互影响。

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