VHDL-AMS based genetic optimisation of fuzzy logic controllers

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

Volumn 26, Issue 2, 2007, Pages 447-460

  Wang, L ^a   Kazmierski, T J ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Algorithmic languages; Fuzzy logic; Genetics

Indexed keywords

ALGORITHMIC LANGUAGES; AUTOMOBILE PARTS AND EQUIPMENT; FUZZY LOGIC; FUZZY SETS; GENETIC ALGORITHMS; MEMBERSHIP FUNCTIONS; OPTIMIZATION; VEHICLE SUSPENSIONS;

FUZZY LOGIC CONTROLLERS (FLC); GENETIC OPTIMISATION; TRAPEZOIDAL MEMBERSHIP FUNCTIONS;

PROGRAMMABLE LOGIC CONTROLLERS;

EID: 34147221947     PISSN: 03321649     EISSN: None     Source Type: Journal    
DOI: 10.1108/03321640710727791     Document Type: Article

References (25)

1. Al-Holou, N., Weaver, J., Lahdhiri, T. and Joo, D.S. (1999), "Sliding mode-based fuzzy logic controller for a vehicle suspension system", Proceedings on American Control Conference, pp. 4188-92.
2. Alleyne, A. and Hedrick, J. (1995), "Nonlinear adaptive control of active suspensions", IEEE Transactions on Control Systems Technology, Vol. 3 No. 1, pp. 94-101.
3. Barr, A. and Ray, J. (1996), "Control of an active suspension using fuzzy logic", Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, pp. 42-8.
4. Chantranuwathana, S. and Peng, H. (2004), "Adaptive robust force control for vehicle active suspensions", International Journal of Adaptive Control and Signal Processing, Vol. 18 No. 2, pp. 83-102.
5. Christen, E. and Bakalar, K. (1999), "VHDL-AMS - a hardware description language for analog and mixed-signal applications", IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 46, pp. 1263-72.
6. Fu, M., Andradottir, S., Carson, J., Glover, F., Harrell, C., Ho, Y.-C., Kelly, J. and Robinson, S. (2000), "Integrating optimization and simulation: research and practice", Simulation Conference Proceedings, Vol. 1, Winter, pp. 610-6.
7. Goldberg, D. (1989), Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Publishing Company, Reading, MA.
8. Hashiyama, T., Behrendt, S., Furuhashi, T. and Uchikawa, Y. (1995), "Fuzzy controllers for semiactive suspension system generated through genetic algorithms", paper presented at Intelligent Systems for the 21st Century. IEEE International Conference on Systems, Man and Cybernetics, Vol. 5, pp. 4361-6.
9. Herrera, F., Lozano, M. and Sanchez, A.M. (2003), "A taxonomy for the crossover operator for real-coded genetic algorithms: an experimental study", International Journal of Intelligent Systems, Vol. 18, pp. 309-38.
10. Hounsell, B. and Arslan, T. (2000), "A novel genetic algorithm for the automated design of performance driven digital circuits", Proceedings of the 2000 Congress on Evolutionary Computation, Vol. 1, pp. 601-8.
11. Kuo, Y.-P. and Li, T.-S. (1999), "Ga-based fuzzy PI/PD controller for automotive active suspension system", IEEE Transactions on Industrial Electronics, Vol. 46 No. 6, pp. 1051-6.
12. Mentor Graphics Corporation (2004), SystemVision User's Manual, Version 3.2, Release 2004.3.
13. Mitchell, M. (1996), An Introduction to Genetic Algorithms, The MIT Press, Cambridge, MA.
14. Moon, S.Y. and Kwon, W.H. (1996), "Genetic-based fuzzy control for automotive active suspensions", Simulation Conference Proceedings, Vol. 2, pp. 923-9.
15. Moser, E. and Mittwollen, N. (1998), "VHDL-AMS: the missing link in system design. Experiments with unified modelling in automotive engineering", Proceedings on Design, Automation and Test in Europe, pp. 59-63.
16. Rajamani, R. and Hedrick, J. (1994), "Performance of active automotive suspensions with hydraulic actuators: theory and experiment", Proceedings on American Control Conference, pp. 1214-8.
17. Sam, Y., Ghani, M. and Ahmad, N. (2000), "LQR controller for active car suspension", Proceedings on TENCON 2000, pp. 441-4.
18. Son, S.-I. and Isik, C. (1996), "Fuzzy control of an automotive active suspension", paper presented at Biennial Conference of the North American Fuzzy Information Processing Society, pp. 377-81.
19. Sugeno, M. (1985), "An introductory survey of fuzzy control", Information Sciences, Vol. 36, pp. 59-83.
20. Tan, H.-S. and Bradshaw, T. (1997), "Model identification of an automotive hydraulic active suspension system", Proceedings on American Control Conference, pp. 2920-4.
21. Truscott, A. and Burton, A. (1994), "On the analysis, modelling and control of an advanced automotive suspension system", paper presented at International Conference on Control'94, Vol. 1, pp. 183-9.
22. Ulsoy, A., Hrovat, D. and Tseng, T. (1994), "Stability robustness of LQ and LQG active suspension", Journal of Dynamic Systems, Measurement, and Control Transactions of ASME, Vol. 116, pp. 123-31.
23. VDA/FAT Working Group AK 30 (2004), "Guidelines for the development of a VHDL-AMS model library", available at: www.eas.iis.fraunhofer.de/ workgroups/vhdlams/pd/modeling guidelines ak30.pdf.
24. Yagiz, N., Ozbulur, V., Inanc, N. and Derdiyok, A. (1997), "Sliding modes control of active suspensions", Proceedings of the 1997 IEEE International Symposium on Intelligent Control, pp. 349-53.
25. Zadeh, L. (1965), "Fuzzy sets", Information and Control, Vol. 8, pp. 338-53.