Optimisation of an active suspension force controller using genetic algorithm for random input

Defence Science Journal

Volumn 57, Issue 5, 2007, Pages 691-696

  Hada, M K ^a   Menon, A ^c   Bhave, S Y ^b  

^a DEFENCE INSTITUTE OF ADVANCED TECHNOLOGY   (India)

^b JSPM S RAJARSHI SHAHU COLLEGE OF ENGINEERING   (India)

^c NONE

Author keywords

Active suspension; Dampers; Force cancellation control scheme; Genetic algorithm

Indexed keywords

AUTOMOBILE SUSPENSIONS; COMPUTER SIMULATION; DAMPING; GENETIC ALGORITHMS; MATLAB; OPTIMIZATION;

4-DOFS HALF-CAR MODEL; ACTIVE SUSPENSION FORCE; FORCE CANCELLATION CONTROL SCHEME; RANDOM INPUT; SKYHOOK DAMPER; SUSPENSION STROKE;

FORCE CONTROL;

EID: 34548561831     PISSN: 0011748X     EISSN: None     Source Type: Journal    
DOI: 10.14429/dsj.57.1806     Document Type: Article

References (21)

1. Crolla, D.A. & Aboul Nour, A.M.A. Theoretical comparisons of various active suspension systems in terms of performance and power requirements. Proc. Inst. Mech. Engrs., 1988, 420, 1-9.
2. Barron, M.B. The role of electronic controls for future automotive mechatronic systems. ASME Trans. Mechatronics, 1996, 1(1), 80-88.
3. Heath, A.N. Application and evaluation of the isotropic road roughness assumption. J. Sound Vibr., 1987 115 1(1), 131-44.
4. th IAVSD 1989, Prague, pp. 275-84.
5. Bender, B.K. Optimisation of random vibration characteristics of vehicle suspensions. M.I.T, Cambridge, 1967. DSc Thesis.
6. Karnopp, D.C. & Trikha, A.K. Comparative study of optimisation techniques for shock and vibration isolation. J. Engg. Ind., 1969, 91, 1128-132.
7. Dahlberg, T. Optimisation criteria for vehicles travelling on randomly profiled road, a survey. Int. J. Vehicle Sys. Dyn., 1979, 8, 239-52.
8. Hac. Suspension optimisation of a 2 DOF vehicle using stochastic optimal control technique. 1985, J. Sound Vibr. 1985, 100(3), 343-57.
9. Narayan, G.V. Raju. Stochastic optimal control of nonstationary response of a single degree of freedom model. J. Sound Vibr., 1990, 140(3).
10. Elmadany, M.M. Stochastic optimal control of highway tractors with active suspensions. Int. J. Vehicle Sys. Dyn., 1988, 17, 193-10.
11. Moran, Nagai. Optimal preview control of rear suspensions using nonlinear neural networks. Int. J. Vehicle Sys. Dyn., 1993, 22, 321-34.
12. Tsao, Yeh. Fuzzy preview control scheme of active suspension for rough road. Int. J. Vehicle Design, 1994, 15(1/2), 166-80.
13. Davis. Handbook of genetic algorithms, 1990.
14. Goldberg, D.E. Genetic algorithm in search, optimisation and machine learning. 1989.
15. Tsao & Chen. Parameter searching for force control of active suspension design by using genetic algorithm. In Automatic Control Conference, Taiwan, 1997, pp. 695-99.
16. Tsao & Chen. Force control for active suspension design with half-car model by using genetic algorithm. In AVEC, Japan, 1998. pp. 243-48.
17. Sharp, R.S. & Hassan, S.A. Relative capabilities of passive, active and semi-active car suspension systems. Proc. Inst. Mech. Engrs., 1986, 200(D3), 219-28.
18. Elbeheiry, E.M.; Karnopp, D.C. &Elaraby M.E. Advanced ground vehicle suspension systemA classified bibliography.
19. Sharp, R.S. & Crolla, D. A. Road vehicle suspension system design - A review. Int. J. Vehicle Sys. Dyn., 1987, 16, 167-92.
20. Dodds, C.J. & Robson. The description of road surface roughness. J. Sound Vibr., 1973 31(2), 175-83.
21. Tsao, Y.J. & Chen, R. The design of an active suspension force controller using genetic algorithms with maximum stroke constraints. Proc. Inst. Mech. Engrs., 2001, 218(D), 317-27.