GA-Based PID and Fuzzy logic control for active vehicle suspension system

International Journal of Automotive Technology

Volumn 4, Issue 4, 2003, Pages 181-191

  Feng, J Z ^a   Li, J ^b   Yu, F ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Active vehicle suspension; Fuzzy logic control; Genetic algorithm; PID

Indexed keywords

ACTIVE SUSPENSION CONTROL; ACTIVE VEHICLE SUSPENSIONS; COMBINED CONTROL SCHEMES; CONTROL SCHEMES; CONTROL STRATEGIES; DYNAMIC TIRE LOAD; FREQUENCY RANGES; FUZZY LOGIC CONTROL; FUZZY LOGIC CONTROLLERS; GAIN VALUES; HUMAN RESPONSE; IN-VEHICLE SYSTEMS; PARAMETERS SELF-TUNING; PASSIVE SUSPENSION; PEAK VALUES; PID; PID CONTROLLERS; PLANT PARAMETERS; ROAD CONDITION; ROAD DISTURBANCES; SCALING FACTORS; SELF-LEARNING ABILITY; SELF-TUNING PID; SYSTEM ROBUSTNESS; VEHICLE BODY; VEHICLE MODEL; VEHICLE RIDE; VERTICAL ACCELERATIONS; WEIGHTING FACTORS;

ACTIVE SUSPENSION SYSTEMS; AUTOMOBILE SUSPENSIONS; COMPUTER SIMULATION; CONTROLLERS; ELECTRIC CONTROL EQUIPMENT; FUZZY CONTROL; FUZZY LOGIC; GENETIC ALGORITHMS; ROADS AND STREETS;

SUSPENSIONS (COMPONENTS);

EID: 33745681310     PISSN: 12299138     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. Abdelhaleem, A. M. and Crolla, D. A. (2000). Analysis and design of limited bandwidth active hydropneumatic vehicle suspension systems. SAE Paper No. 2000-01-1631.
2. Arslan, A. and Kaya, M. (2002). Determination of Fuzzy logic membership functions using genetic algorithms. Fuzzv Sets and Systems 118, 297-306.
3. Chou, J. H., Chen, S. H. and Lee, F. Z. (1998). Greyfuzzy control for active suspension design. Int. J. of Vehicle Design 19, 1, 65-77.
4. D'Amato, F. J. and Viassolo, D. E. (2000). Fuzzy control for active suspensions. Mechatronics 10, 897-920. (Pubitemid 32020660)
5. Elmadany, M. M. and Abduljabbar, Z. S. (1999). Linear quadratic gaussian control of a quarter-car suspension. Vehicle System Dynamic 32, 479-497. (Pubitemid 30548830)
6. Ghazi Zadeh, A., Fahim, A. and El-Gindy, M. (1997). Neural network and fuzzy logic applications to vehicle systems: Literature survey. Int. J. Vehicle Design 18, 2, 132-193.
7. Li, J., Yu, F. and Zhang, J. (2002). Fuzzy neural networks control of a semi-active suspension system with dynamic absorber. SAE 2000 Transactions: Journal of Passenger Cars: Mechanical Systems 109, Section 6: 2415-2422.
8. Kandel, A. and Langholz. G. (Eds). (1993). Fuzzy control systems. London: CRC Press.
9. Li, Q., Yoshimura, T. and Hino, J. (1998). Active suspension with preview of large-sized buses using fuzzy reasoning. Int. J. of Vehicle Design 19, 2, 187-198.
10. Li. T.-H. S. and Shieh, M.-Y. (2000). Design of a GA-based fuzzy and PID controller for non-minimum phase systems. Fuzzy Sets and Systems 111, 183-197. (Pubitemid 30558378)
11. Tanaka, K. and Sano, M. (1994). A robust stabilization problem on fuzzy control systems and its application to backing up control of a truck-trailer. IEEE Transactions on Fuzzy Systems 2, 119-34.
12. Yoshimura, T., Nakaminami, K., Kurimoto, M. and Hino. J. (1999). Active suspension of passenger cars using linear and Fuzzy logic controls. Control Engineering Practice 7, 1, 41-47.
13. Yu, F. and Crolla, D. A. (1998). Wheelbase preview optimal control for active vehicle suspensions. Chinese Journal of Mechanical Engineering 11, 2, 122-129.
14. Yu, F., Li, J. and Feng, J. (2001). A new control strategy for vehicle active suspension system using PID and Fuzzy logic control. SAE SP-155S, Paper No. 2001-01-2519.