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Embedded linear model predictive control for 8-bit microcontrollers via convex lifting

机译:通过凸提升对8位微控制器进行嵌入式线性模型预测控制

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This paper demonstrates an efficient approach for the implementation of parametric programming solutions to linear model predictive control problems. The emphasis is put namely on embedded hardware applications where feasible size and online evaluation of the controller code can be mission critical. As the explicit solutions are known to become quickly intractable for such a purpose once the amount of problem data grows, we exploit the concept of convex lifting of a given parameter space partition, and use it to avoid its storage and to replace the traditional point location with a significantly less costly procedure. In this light we practically illustrate the deployment of generated code on an 8-bit microcontroller unit, representing the class of low-cost embedded controllers built into mass-produced devices, in an active vibration suppression case study accompanied by a detailed performance, memory and timing analysis.
机译:本文演示了一种用于实现线性模型预测控制问题的参数编程解决方案的有效方法。重点是放在嵌入式硬件应用程序上,其中可行的大小和对控制器代码的在线评估可能是关键任务。由于已知显式解决方案会在问题数据量增长后迅速变得难以解决,因此我们利用给定参数空间分区的凸提升概念,并使用它来避免存储和替换传统的点位置成本大大降低。因此,在主动振动抑制案例研究中,我们将在一个有效的振动抑制案例研究中实际地说明生成的代码在8位微控制器单元上的部署,这代表了批量生产设备中内置的低成本嵌入式控制器的类别,并附有详细的性能,内存和时序分析。

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