Online self-tuning fuzzy proportional-integral-derivative control for hydraulic load simulator

Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

Volumn 222, Issue 2, 2008, Pages 81-95

  Ahn, K K ^a,b   Truong, D Q ^a   Thanh, T Q ^a   Lee, B R ^a  

^a University of Ulsan   (South Korea)

^b School of Mechanical and Automotive Engineering   (South Korea)

Author keywords

Force control; Fuzzy PID controller; Hydraulic system; Load simulator; Online tuning; PID controller; Real time

Indexed keywords

ACTUATORS; DYNAMIC RESPONSE; ELASTIC MODULI; ELECTRIC INDUSTRY; ELECTRIC MACHINERY; FLUID MECHANICS; FREQUENCY RESPONSE; FUZZY CONTROL; HYDRAULIC EQUIPMENT; HYDRAULIC MACHINERY; HYDRAULICS; INTEGRAL EQUATIONS; LOADS (FORCES); MOTORS; PROPORTIONAL CONTROL SYSTEMS; SYSTEM STABILITY; TECHNOLOGY; TUNING; TWO TERM CONTROL SYSTEMS;

ACTUATOR MODELS; APPLICATION FIELDS; CONTROL FORCES; CONTROL METHODS; CONTROL PERFORMANCES; DYNAMIC LOADING PROCESS; EXTERNAL DISTURBANCES; FAST RESPONSE; FORCE CONTROL; FUZZY PID CONTROLLER; HIGH DURABILITY; HIGH SPEEDS; HIGH-ACCURACY; HYBRID SYSTEMS; HYDRAULIC ACTUATORS; HYDRAULIC LOADS; HYDRAULIC PRESSING; HYDRAULIC SYSTEM; HYDRAULIC SYSTEMS; LOAD SIMULATOR; MOULDING TECHNOLOGY; ONLINE TUNING; PID CONTROLLER; PROPORTIONAL-INTEGRAL-DERIVATIVE CONTROLLERS; PROPORTIONAL-INTEGRAL-DERIVATIVE CONTROLS; REAL-TIME; SELF-TUNING; STABILITY TESTING; WORKING CONDITIONS;

CONTROL SYSTEMS;

EID: 45949086567     PISSN: 09596518     EISSN: None     Source Type: Journal    
DOI: 10.1243/09596518JSCE484     Document Type: Article

References (18)

1. Rahmfeld, R. and Ivantysynova, M. Displacement controlled linear actuator with differential cylinder - a way to save primary energy in mobile machines. In Proceedings of the Fifth International Conference on Fluid power transmission and control, Hangzhou, China, 2001, pp. 316-322.
2. Su, D. and Wang, Y. Development of electrohydraulic load simulator with high precision. In Proceedings of the Fifth International Conference on Fluid power transmission and control, Hangzhou, China, 2001, pp. 4-8.
3. Li, Y. Development of hybrid control of electrohydraulic torque load simulator. ASME J. Dynamic Syst., Measmt Control, 2002, 124(3), 415-419.
4. Chen, Y. N., Lee, B. C., and Tseng, C. H. A. Variable-structure controller design for an electrohydraulic force control servo system. J. Chin. Soc. Mech. Engrs, 1990, 11(6), 520-526.
5. Conrad, F. and Jensen, C. J. D. Design of hydraulic force control systems with state estimate feedback. In Proceedings of the IFAC 10th Triennial Congress, Munich, Germany, 1987, pp. 307-312.
6. Alleyne, A., Liu, R., and Wright, H. On the limitation of force tracking control for hydraulic active suspensions. In Proceedings of the American control Conference, Philadelphia, USA, 1998, pp. 43-47.
7. Guo, J., Zhou, J., and Cui, T. The application of the hybrid fuzzy control of the furnace. Inf. Microcomput., 2004, 21, 106-109.
8. Lee, C. D., Chuang, C. W., and Kao, C. C. Apply fuzzy PID rule to PDA based control of position control of slider crank mechanisms. In Proceedings of IEEE International Conference on Cybernetics and intelligent systems (CIS) and robotics, automation and mechatronics (RAM), Singapore, 2004, pp. 508-513.
9. Kha, N. B. and Ahn, K. K. Position control of shape memory alloy actuators by using self-tuning fuzzy PID controller. In Proceedings of IEEE International Conference on Industrial electronics and applications, Singapore, 2006.
10. Rubaai, A., Ofoli, A., and Castro, M.. dSPACE DSP-based rapid prototyping of fuzzy PID controls for high performance brushless servo drives. In Proceedings of IEEE International Conference, Tampa, USA, 2006, USA, pp. 1360-1364.
11. Huang, X. and Shi, L. Simulation on a fuzzy-PID position controller on the CNC servo system. In Proceedings of the IEEE 6th International Conference on Intelligent systems design and applications, China, 2006, pp. 305-309.
12. Wang, J., An, D., and Lou, C. Application of fuzzy-PID controller in heating ventilating and air-conditioning system. In Proceedings of the IEEE International Conference on Mechatronics and automation, China, 2006, pp. 2217-2222.
13. Guo, B., Wang, M. Y., and Zhang, J. A dynamic fuzzy neural networks controller for dynamic load simulator. In Proceedings of the Fifth International Conference on Machine learning and cybernetics, Dalian, 2006, pp. 375-379.
14. Yongquan, Y., Ying, H., and Bi, Z.. The dynamic fuzzy method to tune the weight factors of neural fuzzy PID controller. In Proceedings of IEEE International Joint Conference on Neural networks, Budapest, Hungary, 2004, pp. 2397-2402.
15. Malki, H. A. and Misir, D.. Determination of the control gains of a fuzzy PID controller using neural networks. In Proceedings of the Fifth IEEE International Conference on Fuzzy systems, New Orleans, USA, 1996, pp. 1303-1307.
16. Li, Q., Cheng, Z., and Qian, J. Self-learning fuzzy PID controller based on neural networks. In Proceedings of American Control Conference, Philadelphia, 1998, pp. 1860-1861.
17. Available online at AMESim help & www.amesim. com/support.aspx.
18. Michael, J. P. and John, G. A. Power hydraulics, 1988 (Prentice Hall, New York).