Title :
An intelligent algorithm for engine transient state working condition test-stand
Author :
Sun, J. ; Gao, X.Y. ; Sun, Y.
Author_Institution :
Dept. of Mech. & Production Eng., Nat. Univ. of Singapore, Singapore
fDate :
6/24/1905 12:00:00 AM
Abstract :
An intelligent approach using the predictive decoupling fuzzy control algorithm which is applied to an engine transient state experiment, is described in this article. In this algorithm two crucial parameters, the engine speed and torque, are employed to control the throttle position and excited current. The results confirm that it could be reliably used to run an engine transient state experiment under various working conditions
Keywords :
electric current control; fuzzy control; intelligent control; internal combustion engines; position control; predictive control; test facilities; transient response; engine transient state; excited current control; fuzzy control; fuzzy set theory; internal combustion engine; predictive decoupling; real time systems; test facility; throttle position control; Combustion; Control systems; Diesel engines; Employee welfare; Fuels; Fuzzy control; Fuzzy logic; Signal sampling; Testing; Torque control;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1004999
