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Investigation of Reliability of Hydraulic Robots for Hazardous Environments Using Analytic Redundancy

机译:利用解析冗余度研究危险环境中液压机器人的可靠性

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摘要

The Rosie mobile worksystem is a robot that is on the cutting edge of hazardous environment robotics. It is a heavy-duty hydraulic robot designed for nuclear reactor decontamination and dismantlement. The robot consists of a wheeled platform containing a central hydraulic power supply powered by an electric tether, four independently steerable wheels, and a heavy-duty crane/ manipulator. The hydraulic wheel actuator subsystem has been determined to be a vital component of the mobile platform through reliability analysis. Our research into analyzing this robot's reliability through the technique of analytical redundancy (AR) will help provide the Department of Energy (DOE) with a more complete and effective set of tests for monitoring and diagnostics of the Rosie system. In this paper, we discuss the derivation through AR of a suite of model based tests for the default sensor package for one of Rosie's wheel actuators. AR allows us to exploit the sensor information of the sensors values and the system model to derive tests of the consistency of the sensor data. Some of these tests are comparison of the actual system response to control inputs to predicted response indicated by the model, the other tests uncovered by the AR analysis reflect higher order state interdependencies. These tests and their use in monitoring and diagnostics for Rosie are detailed and examined in depth. This work is also an interesting example of the application of model based techniques for an important class of practical systems.
机译:Rosie移动工作系统是处于危险环境机器人技术最前沿的机器人。这是一款用于核反应堆净化和拆除的重型液压机器人。该机器人由带轮平台组成,该轮平台包含由电动绳拴提供动力的中央液压动力供应,四个独立可转向轮以及重型起重机/操纵器。通过可靠性分析,已确定液压轮致动器子系统是移动平台的重要组成部分。我们通过分析冗余(AR)技术分析该机器人的可靠性的研究将有助于为能源部(DOE)提供一套更完整,更有效的测试程序,以监控和诊断Rosie系统。在本文中,我们讨论了针对一组Rosie车轮致动器的默认传感器套件通过基于模型的测试套件的AR推导。 AR使我们能够利用传感器值的传感器信息和系统模型来导出传感器数据一致性的测试。其中一些测试是将实际系统对控制输入的响应与模型所指示的预测响应进行比较,AR分析未发现的其他测试则反映了较高状态的相互依赖性。这些测试及其在Rosie的监视和诊断中的使用已详细介绍并进行了深入检查。这项工作也是将一类基于模型的技术应用于一类重要的实际系统的有趣示例。

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