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USING A PREDICTIVE GRAPHICAL USER INTERFACE TO IMPROVE TOWER CRANE PERFORMANCE

机译:使用预测性的图形用户界面来提高塔吊性能

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Operating tower cranes is very challenging because thernpayload significantly lags behind the control input and undergoesrnlarge amplitude swinging. While significant workrnhas been directed at reducing payload swing, little effortrnhas been placed on reducing the time lag. There is goodrnreason for neglecting the time lag; it cannot be eliminated.rnThe time lag is a result of the physical limitations of therncrane motors, coupled with the very large masses and inertiasrnof tower cranes and their payloads. Good crane operatorsrnbecome accustomed to the time lag and develop thernskill to start decelerating the crane well before the desiredrnstopping location. This paper presents a control methodrnthat aids the human operator by graphically displaying arnprediction of where the crane will stop. This predictive elementrnis combined with an input-shaping controller to reducernthe payload swing. Experimental results show thatrnthe proposed control system significantly improves towerrncrane performance.
机译:操作塔式起重机非常有挑战性,因为有效载荷明显滞后于控制输入,并且经历了较大的振幅摆动。虽然减少工作负载摆动的工作量很大,但是减少时间滞后的工作却很少。忽略时滞是有道理的。时间滞后是由于起重机电机的物理局限性以及巨大的质量和惯性的塔式起重机及其有效载荷所致。优秀的起重机操作员已习惯了时滞,并发展了技能,可以在所需的停车位置之前开始使起重机减速。本文提出了一种控制方法,该方法通过以图形方式显示起重机停止位置的准确预测来帮助操作人员。该预测元素与输入整形控制器相结合,以减少有效载荷摆动。实验结果表明,所提出的控制系统显着提高了塔式起重机的性能。

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