Neural network modelling of fluid power control systems using internal state variables

Mechatronics

Volumn 6, Issue 7, 1996, Pages 817-827

  Watton, John ^a   Kwon, Ki Soo ^a,b  

^a CARDIFF UNIVERSITY   (United Kingdom)

^b Korea Marine Equipment Research Institute (KOMERI)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; NEURAL NETWORKS; SPEED CONTROL; TORQUE;

FLUID POWER CONTROL SYSTEMS; MOTOR SPEED CONTROL SYSTEMS; PSEUDO RANDOM BINARY INPUT SIGNALS;

HYDRAULIC CONTROL EQUIPMENT;

EID: 0030262854     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/0957-4158(96)00020-7     Document Type: Article

References (5)

1. Sanada K., Kitagawa A. and Pingdong Wu, An application of a neural network to adaptive control of a servo system. In Fluid Power, Proceedings of the 2nd JHPS International Symposium on Fluid Power (Edited by Maeda T.), pp. 303-308. E. & F. N. Spoon, London (1993).
2. Newton D. A., Design and implementation of a neural network controlled electrohydraulic drive. Proc. IMechE 208, 31-42 (1994).
3. Watton J., Data-based component modelling. The Design of Fluid Power Systems, IMechE, Bath University, December (1994).
4. Watton J., Fluid Power Systems. Prentice-Hall, Englewood Cliffs, NJ (1989).
5. Watton J., Closed design of an electro-hydraulic motor drive using open-loop steady-state characteristics. J. Fluid Control 20(1), 7-30 (1989).