A new synchronous error control method for CNC machine tools with dual-driving systems

Wang, Shih-Ming; Wang, Ren-Jeng; Tsooj, Shambaljamts

doi:10.1007/s12541-013-0191-y

Cited by 21 publications

(5 citation statements)

References 10 publications

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“…Ishizaki et al [ 6 ] proposed a cross-coupling PD controller to penalize differential positioning errors between the linear drives of a gantry axis by modifying the reference position and velocity commands. Wang et al [ 7 ] proposed a method that integrates the model’s reference adaptive control and variable structure control. Dongmei et al [ 8 ] presented the decoupling control algorithm with a position controller for improved variable structure control.…”

Section: Introductionmentioning

confidence: 99%

Modeling Dual-Drive Gantry Stages with Heavy-Load and Optimal Synchronous Controls with Force-Feed-Forward Decoupling

Xie

Wang

2022

Entropy

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The application of precision dual-drive gantry stages in intelligent manufacturing is increasing. However, the loads of dual drive motors can be severely inconsistent due to the movement of heavy loads on the horizontal crossbeam, resulting in synchronization errors in the same direction movement of dual-drive motors. This phenomenon affects the machining accuracy of the gantry stage and is an critical problem that should be immediately solved. A novel optimal synchronization control algorithm based on model decoupling is proposed to solve the problem. First, an accurate physical model is established to obtain the essential characteristics of the heavy-load dual-drive gantry stage in which the rigid-flexible coupling dynamic is considered. It includes the crossbeam’s linear motion and rotational motion of the non-constant moment of inertia. The established model is verified by using the actual system. By defining the virtual centroid of the crossbeam, the cross-coupling force between dual-drive motors is quantified. Then, the virtual-centroid-based Gantry Synchronization Linear Quadratic Regulator (GSLQR) optimal control and force-Feed-Forward (FF) decoupling control algorithm is proposed. The result of the comparative experiment shows the effectiveness and superiority of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Modeling Dual-Drive Gantry Stages with Heavy-Load and Optimal Synchronous Controls with Force-Feed-Forward Decoupling

Xie

Wang

2022

Entropy

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“…This method considers each axis an independent master axis and composes an independent control loop but provides a synchronized motion command. Second, there is a master-slave method [8,9], which sets the motion of the master axis as a command of the slave. There is a slight delay between master and slave in this method.…”

Section: Introductionmentioning

confidence: 99%

Tracking and Synchronization with Inversion-Based ILC for a Multi-Actuator-Driven Wafer Inspection Cartridge Transport Robot System

Baek

Nam

et al. 2021

Electronics

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This paper proposes a simple tracking and synchronization control of a dual-drive system using inversion-based iterative learning control (IILC), which reformulates the model at each iteration based on input/output data. By the power of the IILC, this work simplifies the dual-actuator-driven dynamic system control problem that is normally addressed with a MIMO method. This work also shows the potential of the IILC for nonlinear system applications by reformulating the model at each iteration based on the input/output data. An analytical representation of the iteration-varying IILC followed by simulations is provided. A set of physical system testings with a dual-motor gantry and a semiconductor wafer inspection robotic system are carried out to verify the control method.

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“…In 2012 Vinayak Mhase, et al designed a system which consists of two controllers PD to control the speed, and PI controller to control the position of two DC on axes [18]. In 2013 Shih-Ming, et al Introduced a new master-slave method that is used to synchronizing the movement of two-drive systems and tested it on a gantry-type a two-axis platform [19]. Burak Sencer and Eiji Shamoto in 2014 Introduced a control system used to operate a gantry-type machine tool.…”

Section: Introductionmentioning

confidence: 99%

Position - Velocity Control for Two PMDC Motors Connected by a Cross-Coupling Technique with Butterflies Optimization Algorithm

Abdulhussein

Yasin

Hasan

2021

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In this paper, two contributions are presented. the first is to design two cascade controllers to control the velocity and position for two Permanent Magnet DC motors (PMDC) working together at the same time for use in many applications such as CNC machines, robotics, and others. Furthermore, the cross-coupling technique is used to connect these motors and adjust the precise synchronization of their movement on the axes. The second contribution is the use of the butterfly’s optimization algorithm (BOA) with the objective function Integral Time Absolute Error (ITAE) to extract the optimal parameter values for the two cascade controllers and the synchronization controller in order to obtain the best accurate results. The simulation results showed high accuracy to reach the desired position at a regular velocity of both the PMDC motors with accurate synchronization and tracking trajectory on the axes. In addition, a very small position deviation of 0.021 rad was observed, and the system returned to a steady-state after 2 seconds of applying the full load.

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A new synchronous error control method for CNC machine tools with dual-driving systems

Cited by 21 publications

References 10 publications

Modeling Dual-Drive Gantry Stages with Heavy-Load and Optimal Synchronous Controls with Force-Feed-Forward Decoupling

Modeling Dual-Drive Gantry Stages with Heavy-Load and Optimal Synchronous Controls with Force-Feed-Forward Decoupling

Tracking and Synchronization with Inversion-Based ILC for a Multi-Actuator-Driven Wafer Inspection Cartridge Transport Robot System

Position - Velocity Control for Two PMDC Motors Connected by a Cross-Coupling Technique with Butterflies Optimization Algorithm

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