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Hardware Development for Cyber-Physical Systems adaptive control algorithms

信息物理系统自适应控制算法的硬件开发

基本信息

批准号：
1922711
负责人：
金额：
--
依托单位：
University of Southampton
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1922711
关键词：
Hardware Development Cyber Physical Systems

项目摘要

Cyber-Physical Systems (CPS) are integrations of computation with physical processes.Embedded computers and networks monitor and control the physical processes, usually with feedback loops where physical process affect computations and vice versa. CPS gained a lot of importance from last decade because of its self-adaptive control nature.To this end, there are several challenges need to be addressed for providing accurate self adaptive control to CPS, including physical model identification in real time when the system subjected to external disturbances and in the presence of uncertainty. Recently proposed estimation based multiple model switched adaptive control (EMMSAC) are shown that the best performance in the presence of uncertainty and external disturbances over the state-of-the-art algorithms for controlling physical system adaptively.These algorithms have been implanting on the Digital Signal Processing (DSP) platform. In general, these algorithms need a lot of computing resources and reduced execution time. To cope with all these challenges, designers can rely on more and more mature digital electronics technologies. Further state-of-the-art implementations are limited by speed. Moreover in cyber-physical system if we desired to control physical system adaptively, EMMSAC should perform operations in micro or nanoseconds thereby physical system will able to adapt the controller instructions within the scheduled time. To achieve aforementioned characteristics we are intended to develop these EMMSAC algorithms on field programmable gate array (FPGA). This will help to build an efficient, stable, accurate and reliable cyber-physical system. In the initial stage of work, we developed a 2x2 kalman filter on Virtex ultra-scale FPGA, which is the fundamental block in the EMMSAC algorithm. We have also developed a case study for controlling the velocity of the car by adapting the road conditions.In future, we are intended to apply these algorithms for boost converter which we can develop in our lab environment under different load conditions. Also we are intended to increase number models 50-400. The next future challenge is to implement the dynamiconline refinement strategy for EMMSAC.

信息物理系统（Cyber-Physical Systems，CPS）是计算与物理过程的集成，嵌入式计算机和网络通过反馈回路对物理过程进行监控，物理过程影响计算，计算影响物理过程。CPS由于其自适应控制的特性，在过去的十年中得到了越来越多的重视，为此，要为CPS提供精确的自适应控制，需要解决几个挑战，包括当系统受到外部干扰和存在不确定性时的真实的时间物理模型辨识。近年来提出的基于估计的多模型切换自适应控制（EMMSAC）在不确定性和外部干扰存在的情况下，表现出比现有的物理系统自适应控制算法更好的控制性能，这些算法已被移植到数字信号处理（DSP）平台上。一般来说，这些算法需要大量的计算资源和减少的执行时间。为了科普所有这些挑战，设计人员可以依靠越来越成熟的数字电子技术。进一步的现有技术的实现受到速度的限制。此外，在信息物理系统中，如果我们希望自适应地控制物理系统，EMMSAC应该在微秒或纳秒内执行操作，从而物理系统将能够在预定的时间内适应控制器指令。为了实现上述特点，我们打算开发这些EMMSAC算法的现场可编程门阵列（FPGA）。这将有助于建立一个高效、稳定、准确和可靠的网络物理系统。在工作的初始阶段，我们在Virtex超大规模FPGA上开发了一个2 × 2卡尔曼滤波器，这是EMMSAC算法的基本模块。我们还开发了一个案例研究，通过适应道路条件来控制汽车的速度。在未来，我们打算将这些算法应用于升压转换器，我们可以在我们的实验室环境中开发不同的负载条件下。我们还打算增加50-400型号的数量。未来的下一个挑战是为EMMSAC实现dynamiconline细化策略。