Adaptive sliding mode controller design for mobile robot fault tolerant control. introducing ARTEMIC.

Cristian Axenie, D. Cernega
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引用次数: 7

Abstract

Current real-time applications should timely deliver synchronized data-sets, minimize latency in their response and meet their performance specifications in the presence of disturbances and faults. The adaptive features of the designed controller are present at the lower control level using specific artificial intelligence techniques. Fuzzy inference system design is the fundamental element to generate an adaptive nonlinear controller for the robot operation in the presence of disturbances and modeling inaccuracies. This paper introduces an adaptive real-time distributed control application with fault tolerance capabilities for differential wheeled mobile robots, named ARTEMIC. Specific design, development and implementation details will be provided in this paper.
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移动机器人容错控制的自适应滑模控制器设计。引入ARTEMIC。
当前的实时应用程序应该及时交付同步数据集,最大限度地减少响应延迟,并在存在干扰和故障的情况下满足其性能规范。采用特定的人工智能技术,所设计控制器的自适应特性存在于较低的控制层。模糊推理系统设计是机器人在存在干扰和建模不准确情况下产生自适应非线性控制器的基础。本文介绍了一种具有容错能力的差动轮式移动机器人自适应实时分布式控制应用——ARTEMIC。本文将提供具体的设计、开发和实现细节。
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