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Fine sensorless force control using stribeck model for injection molding machine

机译:采用STRIBECK模型用于注塑机的精细无传感器力控制

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Injection molding is a common method for producing various resin products. The force control system of a typical injection molding machine obtains information about the force from the environment of the machine via a force sensor. However, because a force sensor often has disadvantages such as signal noise, high cost, and narrow bandwidth, a reaction force observer has been developed for electric injection molding machines. The high-order reaction force observer (HORFO) is developed which includes a friction compensation element and uses the dither signal insertion method. However, the static frictional force and dynamic friction force have been not considered in this reaction force estimation observer, and accurate force control is difficult because of estimation error. In this paper, we propose a new friction model that takes into account the stribeck effect in order to improve the estimation error problem in force sensorless estimation. In addition the effectiveness of the proposed method is investigated in actual experiments using an injection molding machine.
机译:注塑是生产各种树脂产品的常用方法。典型的注射成型机的力控制系统通过力传感器从机器的环境中获得有关电力的信息。然而,因为力传感器通常具有诸如信号噪声,高成本和窄带宽的缺点,所以已经开发了一种反作用力观测器,用于电动注塑机。开发了高阶反作用力观察者(HORFO),其包括摩擦补偿元件并使用抖动信号插入方法。然而,在该反作用力估计观察者中不考虑静态摩擦力和动态摩擦力,并且由于估计误差,精确的力控制难。在本文中,我们提出了一种新的摩擦模型,考虑到Stribeck效果,以改善力传感器估计中的估计误差问题。此外,在使用注塑机的实际实验中研究了所提出的方法的有效性。

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