Synchronous control of dual linear motors based on advanced space voltage vector switch table

2014 ◽  
Author(s):  
Baoquan Kou ◽  
Feng Xing ◽  
Chaoning Zhang ◽  
Lu Zhang ◽  
Hao Yan
Keyword(s):  
Synchronous Control ◽  
Linear Motors ◽  
Voltage Vector ◽  
Space Voltage Vector

Intelligent Synchronous Control for Gantry Position Stage

2014 ◽  
Vol 620 ◽  
pp. 317-320
Author(s):  
Po Huan Chou ◽  
Faa Jeng Lin ◽  
Wen Chuan Chen ◽  
Ying Min Chen
Keyword(s):  
External Disturbance ◽  
Back Propagation ◽  
Field Oriented Control ◽  
Servo Drive ◽  
Control Approach ◽  
Synchronous Control ◽  
Linear Motors ◽  
On Line ◽  
On Line Learning ◽  
Servo Drive System

A cross-coupled proportional-integral-derivative neural network (PIDNN) control is proposed in this study for the synchronous control of a dual linear motors servo system which is installed in a gantry position stage. First, the dynamics of the field-oriented control PMLSM servo drive with a lumped uncertainty, which contains parameter variations, external disturbance and friction force, is introduced. Then, to achieve accurate trajectory tracking performance with robustness, an intelligent control approach using PIDNN is proposed for the field-oriented control PMLSM servo drive system. In the proposed approach, the on-line learning algorithms of the PIDNN are derived using back-propagation (BP) method to guarantee the convergence of the network. Finally, some experimental results are illustrated to depict the validity of the proposed control approach.

scholarly journals Nonlinear Synchronous Control for H-Type Gantry Stage Used in Electric VehiclesManufacturing

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2305
Author(s):  
Ran Chen ◽  
Zongxia Jiao ◽  
Liang Yan ◽  
Yaoxing Shang ◽  
Shuai Wu
Keyword(s):  
Tracking Error ◽  
Tracking Performance ◽  
System Model ◽  
Lyapunov Analysis ◽  
End Effector ◽  
Mechanical Coupling ◽  
Synchronous Control ◽  
Linear Motors ◽  
Proposed Model ◽  
Synchronous Error

The H-type gantry stage (HGS) is widely used in electric vehicle manufacturing and other fields. However, resulting from the existence of mechanical coupling, the synchronous control problem of HGS always troubles many engineers. Most synchronization schemes were either engaged in improving each motor’s tracking performance or committed to pure motion synchronization only. However, tracking and synchronous performance are interconnected, because of the mechanical coupling. In this paper, a rigid assumed system model of HGS, concerning the effects of mid-beam rotary inertia, mid-beam stiffness, and end-effector movement, is presented. Based on the proposed model, an adaptive robust synchronous control based on a rigid assumed model (ARSCR) is proposed to improve both synchronous and tracking performance of the HGS. From the Lyapunov analysis, the proposed ARSCR can achieve the convergence of synchronous error and tracking error, simultaneously. An HGS driven by dual linear motors is built and used to perform the experimental verification. The experimental results indicate the effectiveness of the proposed method.

Modeling and Synchronous Control of Dual Mechanically Coupled Linear Servo System

2014 ◽  
Vol 137 (4) ◽  
Author(s):  
Wu-Sung Yao
Keyword(s):  
Machine Tool ◽  
High Speed ◽  
Dynamic Stiffness ◽  
System Modeling ◽  
Coupled System ◽  
Mechanical Coupling ◽  
Synchronous Control ◽  
Linear Motors ◽  
Operation Speed ◽  
Control Scheme

This paper presents a system modeling technique for a high-speed gantry-type machine tool driven by linear motors. One feed axis of the investigated machine tool is driven by the joint thrust from two parallel linear motors. These two parallel motors are coupled mechanically to form the Y-axis while another standalone motor fixed to a support forms the X-axis. The components in the X-axis, which is treated as the mechanical coupling, are carried by the slides of the Y-axis motors. This configuration is applied to improve the dynamic stiffness of the system and operation speed/acceleration. However, the precise synchronous control of the two parallel and coupled motors would be the major challenge. To overcome this challenge, a multivariable system identification method is developed in this paper. This method is used to construct an accurate system mathematical model for the target coupled system. A synchronous control scheme is then applied to the model obtained using the proposed technique. The performance of the system is experimentally verified with a high-speed S-curve motion profile. The results substantiate the constructed system model and demonstrate the effectiveness of the control scheme.

Sign in / Sign up

Export Citation Format

Share Document