A NEURAL-NETWORK CONTROLLER FOR CONSTANT TURNING FORCE

被引：22

作者：

TARNG, YS

HWANG, ST

WANG, YS

机构：

[1] Department of Mechanical Engineering, National Taiwan Institute of Technology, Taipei

来源：

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE | 1994年 / 34卷 / 04期

关键词：

D O I：

10.1016/0890-6955(94)90077-9

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A new adaptive controller based on a neural network for obtaining constant turning force under varying cutting conditions is presented in the paper. The adaptive force controller with on-line learning abilities can modify its performance in response to the changes of cutting conditions- As a result, feed rate is automatically adjusted in turning operations to maintain a desired cutting force level for improving productivity.

引用

页码：453 / 460

页数：8

共 8 条

[1]

Freeman, Skapura, Neural Networks: Algorithms, Applications, and Programming Techniques, (1991)

[2]

Masory, Koren, Adaptive control system for turning, Ann. CIRP, 29, pp. 281-284, (1980)

[3]

Daneshmend, Pak, Model reference adaptive control of feed force in turning, J. Dyn. Syst. Meas. Control Trans. ASME, 108, pp. 215-222, (1986)

[4]

Chen, Chang, Constant turning force adaptive controller design, Trans. ASME, J. Engng Ind., 111, pp. 125-132, (1989)

[5]

Tarng, Wang, An adaptive fuzzy control system for turning operations, Int. J. Mach. Tools Manufact., 33, 6, (1993)

[6]

Miyamoto, Kawato, Setoyama, Suzuki, Feedback-error-learning neural network for trajectory control of a robotic manipulator, Neural Networks, 1, pp. 251-265, (1988)

[7]

Rumelhart, McClelland, Parallel Distributed Processing, 1, (1989)

[8]

Psaltis, Sideris, Yamamura, A multilayered neural network controller, IEEE Control Systems Magazine, 8, pp. 17-21, (1988)

← 1 →