Design and control of a single-stage dual-actuator system for high-precision manufacturing

Kim, Michael D.; Lee, Kwang-Hee; Nam, Kwangwoo; Lee, Sang-Moo

doi:10.1007/s00542-013-1979-5

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…The dual stage actuation has an important application in high-precision machines. 2,3 Such highprecision positioning systems require displacement control in the range of micrometer to millimeter. 4,5 The electro mechanical actuator (EMA) is gaining more importance due to the advancement in technology with permanent magnets brushless DC motor.…”

Section: Introductionmentioning

confidence: 99%

Development of Precision Positioning Stage

Niranjan¹,

Karinka²,

Sairam³

2019

J. Adv. Manuf. Syst.

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The growing demand for positioning accuracy in machines with high speed plays an important role in achieving high productivity gain. A system that is capable to achieve both coarse (macro) and fine (micro) positioning finds a variety of applications in precision positioning. In the proposed work, a macro positioning stage is developed with a ball screw actuator and a micro positioning stage is developed with an additional gear reduction unit. The coarse and fine positioning with friction compensation is achieved and the steady state error is minimized. The developed system is controlled using a programmable logic controller and operated with human machine interface.

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Section: Introductionmentioning

confidence: 99%

Development of Precision Positioning Stage

Niranjan¹,

Karinka²,

Sairam³

2019

J. Adv. Manuf. Syst.

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“…However, the mechanical characteristics diversity and coupling factor of DDFS are ignored in these researches. In fact, the performance of DDFS suffered from the diversity of mechanism characteristics, deflection of joint thrust, and mechanical coupling [9][10][11][12]. To improve the synchronous performance, some scholars established the mechanical coupling models by identification technique [13][14][15], yet the models are established as first-order inertia links, and the parameters are identified without actual physical meaning [16].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Characteristics Analysis and Test of Dual-Driving Feed System Driven by Center of Gravity

Lü

Fan

Zhang

et al. 2018

Mathematical Problems in Engineering

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Dual-driving feed system (DDFS) driven by center of gravity (DCG) has been widely used in advanced manufacturing machine for its high rigidity and precision. However, the DCG technology requires that the joint force coincides with the center of gravity of the sliding stage. The dual-driving synchronization and tracking performance will be affected by the change of center of gravity of the sliding stage. Therefore, this paper proposes dynamic characteristics modeling, identification, and control scheme for DDFS driven by center of gravity (DCG). Firstly, a redundancy dynamic model including rotation and pitch vibration caused by the change of the position of center of gravity is presented for DDFS DCG based on the Lagrange method. The model parameters are identified by system identification experiment, and the predictive natural frequencies and vibration modes by the proposed dynamic model are compared by modal experiment. Moreover, the dynamic model-based cross-coupled sliding mode control (CCSMC) is proposed for DDFS DCG. Then, the proposed dynamic model-based CCSMC has been compared with normal cross-coupled sliding mode control (NCCSMC). Both the simulation and experimental results show that the proposed dynamic characteristics analysis and test scheme of DDFS DCG are validated effectively by comparisons.

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“…8 These require rapid tool motion over small distances for the assembly of high-precision components in the optics and automotive industries. 9 In these applications, motion error is dominated by periodic motion associated with spindle rotation, wherein control relies on the elimination of periodic errors as well as non-periodic motion errors. In this article, we formulated a DSA system for the tracking of periodic signals.…”

Section: Introductionmentioning

confidence: 99%

Repetitive model predictive control for precise control of complex trajectory tracking in dual-stage actuator systems

Lin

Chang

2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article presents a predictive control methodology for the precise tracking of complex reference commands in dual-stage actuator systems. To improve synchronized motion control performance, a cost function was applied to account for dual-stage actuator tracking error as well as tracking error in the first-stage actuator. The dual-stage actuator control system uses repetitive model predictive control with two repetitive controllers to reduce the occurrence of periodic errors. As in precision machining, a complex reference trajectory containing two dynamic tracking signals with non-trivial magnitude and frequency orders in a motor/piezoelectric-driven dual-stage actuator system was used to evaluate the practicability of the proposed repetitive model predictive control method. Experimental results demonstrate the efficacy of the proposed repetitive model predictive control system in enhancing the periodic tracking control of dual-stage actuator systems, even when subjected to persistent short pulse disturbance.

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Design and control of a single-stage dual-actuator system for high-precision manufacturing

Cited by 5 publications

References 25 publications

Development of Precision Positioning Stage

Development of Precision Positioning Stage

Dynamic Characteristics Analysis and Test of Dual-Driving Feed System Driven by Center of Gravity

Repetitive model predictive control for precise control of complex trajectory tracking in dual-stage actuator systems

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