S&AS: FND: Real-Time Self-Diagnosis and Correction in Linear and Nonlinear Control of Autonomous Systems Using Encoded State Space Error Signatures

基本信息

批准号：
1723997
负责人：
Abhijit Chatterjee
金额：
$ 49.9万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-01 至 2022-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1723997&HistoricalAwards=false
关键词：
S&amp FND Real Time Self

项目摘要

Next generation autonomous systems that can perform societal functions without human intervention (such as intelligent buildings, robots, drones and self-driven cars) will need to be aware of the health of the core electro-mechanical subsystems of which they are composed. Such self-awareness will dictate how they respond to different workload demands so that the general public can depend on these systems for reliable execution of designated tasks irrespective of how much wear and tear these systems have experienced through field use. The goal of this project is to enable the design of such self-aware autonomous systems of the future.Linear and nonlinear control systems can be described using state-space representations that are encoded with redundant "check states" that bear a known relationship with the observable states of the system in the absence of failures. The difference between the check state value and its value as predicted by the known relationship above, results in a time-varying error signal that can be used for the first time to detect, diagnose and compensate for parametric failures in the electro-mechanical system components in real-time with the least amount of computational overhead and detection latency for a wide class of such systems. The project will train graduate students to develop new mathematical techniques, simulation tools and algorithms across diverse domains of electrical engineering and computer science. The students will work closely with industry, facilitating technology transfer through summer internships and co-ops. The research findings will be integrated into a class on fault-tolerant computing. Key research aspects will be incorporated into senior year undergraduate design projects while engaging students from the summer undergraduate research experience program for minorities at Georgia Tech. K-12 education program engagements relevant to this project will be pursued through the course of this research.

可以在没有人类干预的情况下执行社会功能的下一代自治系统（例如智能建筑物，机器人，无人机和自动驾驶汽车）将需要了解其组成的核心电力机械子系统的健康状况。这种自我意识将决定他们如何响应不同的工作量需求，以便公众可以依靠这些系统来可靠地执行指定的任务，而不论这些系统通过现场使用而经历了多少磨损。该项目的目的是实现这种自我意识的未来自主系统的设计。可以使用用冗余“检查状态”编码的状态空间表示系统来描述，这些状态在没有故障的情况下与系统的可观察状态具有已知关系。上述已知关系所预测的检查状态值及其值之间的差异导致了时间变化的误差信号，该信号可首次用于实时检测，诊断和补偿电力机械系统组件中的参数故障，并以最少的计算开销和最少的计算延迟，并检测到广泛的系统。该项目将培训研究生，以开发新的数学技术，模拟工具和算法，跨电气工程和计算机科学领域。这些学生将与行业紧密合作，通过暑期实习和合作社来促进技术转移。研究发现将集成到易于故障计算的类中。关键的研究方面将纳入高年级的本科设计项目中，同时吸引佐治亚理工学院少数民族的夏季本科研究经验计划的学生。与该项目相关的K-12教育计划参与将在这项研究过程中进行。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Concurrent Error Detection in Embedded Digital Control of Nonlinear Autonomous Systems Using Adaptive State Space Checks

使用自适应状态空间检查的非线性自治系统嵌入式数字控制中的并发错误检测

DOI：
10.1109/itc44778.2020.9325229
发表时间：
2020
期刊：
International Test Conference
影响因子：
0
作者：
Momtaz, Md Imran;Amarnath, Chandramouli N;Chatterjee, Abhijit
通讯作者：
Chatterjee, Abhijit

Error Resilient Neuromorphic Networks Using Checker Neurons

使用 Checker 神经元的错误弹性神经形态网络

DOI：
10.1109/iolts.2018.8474075
发表时间：
2018
期刊：
International On-Line Testing Symposium
影响因子：
0
作者：
Pandey, Sujay;Banerjee, Suvadeep;Chatterjee, Abhijit
通讯作者：
Chatterjee, Abhijit

Gaussian Control Barrier Functions: Non-Parametric Paradigm to Safety

DOI：
10.1109/access.2022.3206372
发表时间：
2022-03
期刊：
IEEE Access
影响因子：
3.9
作者：
Mouhyemen Khan;Tatsuya Ibuki;Abhijit Chatterjee
通讯作者：
Mouhyemen Khan;Tatsuya Ibuki;Abhijit Chatterjee

Reinn: Efficient error resilience in artificial neural networks using encoded consistency checks

DOI：
10.1109/ets.2018.8400706
发表时间：
2018-01-01
期刊：
PROC EUR TEST SYMP
影响因子：
0
作者：
Pandey, S.;Banerjee, S.;Chatterjee, A.
通讯作者：
Chatterjee, A.

Cross-Layer Control Adaptation for Autonomous System Resilience

跨层控制适应自治系统的弹性

DOI：
10.1109/iolts.2018.8474159
发表时间：
2018
期刊：
International On-Line Testing Symposium
影响因子：
0
作者：
Momtaz, Md Imran;Banerjee, Suvadeep;Pandey, Sujay;Abraham, Jacob;Chatterjee, Abhijit
通讯作者：
Chatterjee, Abhijit