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Dynamic Stability Control of Front Wheel Drive Wheelchairs Using Solid State Accelerometers and Gyroscopes

机译:使用固态加速度计和陀螺仪动态控制前轮驱动轮椅

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摘要

While the active dynamic stability of automobiles has increased over the past 17 years there have been very few similar advances made with electrically powered wheelchairs. This lack of improvement has led to a long standing acceptance of less-than-optimal stability and control of these wheelchairs. Accidents due to loss of stability are well documented. Hence, the healthcare industry has made several efforts for improved control of electric powered wheelchairs (EPWs) to provide enhanced comfort, safety and manoeuvrability at a lower cost. In response, an area of stability control was identified that could benefit from a feedback control system using solid state sensors.To design an effective closed–loop feedback controller with optimal performance to overcome instabilities, an accurate model of wheelchair dynamics needed to be created. Such a model can be employed to test various controllers quickly and repeatedly, without the difficulties of physically setting a wheelchair up for each test. This task was one central goal of this research.A wireless test-bed of a front wheel drive (FWD) wheelchair was also developed to validate a dynamic wheelchair model. It integrates sensors, a data control system, an embedded controller, and the motorised mechanical system. The wireless communication ensures the integrity of sensor data collected and control signals sent. The test-bed developed not only facilitates the development of feedback controllers of motorised wheelchairs, but the collected data can also be used to confirm theories of causes of dynamic instabilities. The prototype test-bed performed the required tasks to satisfaction as defined by the sponsor.Data collected from live tests in which the test-bed followed set patterns, was processed and analysed. The patterns were designed to induce instability. The analysis revealed that an occupied wheelchair is more stable than an unoccupied wheelchair, disproving an initial instability theory proposed in this research. However, a proximal theory explaining over-steer is confirmed.Two models of the FWD test-bed were created. First, a dynamic model inherited from prior research, based on equations of motion was tested and enhanced based on measured data. However, even with alterations to correct parameter values and variables in the equations, a complete model validation was not possible. Second, a kinematic model was created with a factor to compensate for dynamics not normally accounted in kinematic models. The kinematic model was partially validated versus the measured data. Although, still highly accurate, there is room for improvement in this model. Both models contained a sub-system drive motor model, to account for input forces to the FWD wheelchair system model, which is fully validated.
机译:在过去的17年中,尽管汽车的主动动态稳定性有所提高,但电动轮椅的进步却很少。由于缺乏改进,导致人们长期以来对这些轮椅的稳定性和控制力都不满意。由于稳定性损失而导致的事故已得到充分记录。因此,医疗保健行业已经做出了一些努力来改进电动轮椅(EPW)的控制,从而以较低的成本提供增强的舒适性,安全性和可操纵性。作为响应,确定了可以从使用固态传感器的反馈控制系统中受益的稳定性控制领域。要设计一种具有最佳性能以克服不稳定性的有效闭环反馈控制器,需要创建一个精确的轮椅动力学模型。这样的模型可用于快速重复地测试各种控制器,而无需为每次测试实际设置轮椅而感到困难。这项任务是这项研究的中心目标。还开发了前轮驱动(FWD)轮椅的无线测试台,以验证动态轮椅模型。它集成了传感器,数据控制系统,嵌入式控制器和电动机械系统。无线通信可确保收集的传感器数据和发送的控制信号的完整性。开发的试验台不仅方便了电动轮椅的反馈控制器的开发,而且所收集的数据还可用于确认动力不稳定原因的理论。原型试验台可以满足发起人定义的要求完成的任务。从现场试验中收集的数据按照试验模式按照设定的模式进行处理和分析。这些模式旨在引起不稳定性。分析表明,有人坐轮椅比未有人坐轮椅更稳定,这反驳了本研究提出的初始不稳定性理论。但是,证实了解释过度转向的近端理论得到证实。创建了两个FWD试验台模型。首先,测试并继承了基于先前研究的基于运动方程的动力学模型,并基于实测数据进行了增强。但是,即使进行更改以校正方程中的参数值和变量,也无法进行完整的模型验证。其次,创建了一个运动学模型,该模型具有补偿运动学模型中通常不考虑的动力学的因素。运动模型相对于测量数据得到了部分验证。尽管仍然非常准确,但此模型仍有改进的空间。两种模型都包含一个子系统驱动电机模型,以说明FWD轮椅系统模型的输入力,该模型已得到充分验证。

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    Wolm Patrick;

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  • 年度 2009
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