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Takagi-Sugeno 模糊-PI 控制器硬件的提出。

Proposal of Takagi-Sugeno Fuzzy-PI Controller Hardware.

机构信息

Laboratory of Machine Learning and Intelligent Instrumentation, IMD/nPITI, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil.

Department of Electronics & Microelectronics, Polytechnic Faculty, University of Mons, Mons, 7000, Belgium.

出版信息

Sensors (Basel). 2020 Apr 2;20(7):1996. doi: 10.3390/s20071996.

Abstract

This work proposes dedicated hardware for an intelligent control system on Field Programmable Gate Array (FPGA). The intelligent system is represented as Takagi-Sugeno Fuzzy-PI controller. The implementation uses a fully parallel strategy associated with a hybrid bit format scheme (fixed-point and floating-point). Two hardware designs are proposed; the first one uses a single clock cycle processing architecture, and the other uses a pipeline scheme. The bit accuracy was tested by simulation with a nonlinear control system of a robotic manipulator. The area, throughput, and dynamic power consumption of the implemented hardware are used to validate and compare the results of this proposal. The results achieved allow the use of the proposed hardware in applications with high-throughput, low-power and ultra-low-latency requirements such as teleoperation of robot manipulators, tactile internet, or industry 4.0 automation, among others.

摘要

本工作提出了一种专用硬件,用于现场可编程门阵列 (FPGA) 上的智能控制系统。智能系统表示为 Takagi-Sugeno 模糊-PI 控制器。实现使用与混合位格式方案(定点和浮点)相关联的完全并行策略。提出了两种硬件设计;第一种使用单个时钟周期处理架构,另一种使用流水线方案。通过对机器人机械手的非线性控制系统进行仿真测试了位精度。所实现硬件的面积、吞吐量和动态功耗用于验证和比较本提案的结果。所取得的结果允许将所提出的硬件用于具有高吞吐量、低功耗和超低延迟要求的应用,例如机器人机械手的遥操作、触觉互联网或工业 4.0 自动化等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0704/7180753/881ef95096b5/sensors-20-01996-g008.jpg

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