Title :
Predictive Air-Ratio Controller for Automotive Engines Based on Online Neural Network: Design and Experimental Evaluation
Author :
Wong, P.K. ; Wong, H.C. ; Vong, C.M. ; Ip, W.F.
Author_Institution :
Dept. of Electromech. Eng., Univ. of Macau, Macau, China
Abstract :
Air-ratio relates closely to pollution reduction, fuel efficiency and driveability among all of the engine control variables. Maintaining the air-ratio to be the stoichiometric value can obtain the best balance between power output and fuel consumption. The paper presents a nonlinear model predictive control algorithm for air-ratio regulation based on online neural network. The control algorithm has been implemented on a real car to test. The actual test results in experiments show that the proposed control algorithm can regulate the engine air-ratio to the stoichiometric value (1.0) under external disturbance with less than 5% tolerance.
Keywords :
air pollution control; neurocontrollers; predictive control; automotive engine; engine control variable; fuel consumption; online neural network; predictive air ratio controller; predictive control algorithm; stoichiometric value; Artificial neural networks; Atmospheric modeling; Engines; Fuels; Mathematical model; Optimization; Predictive models; Air-ratio; Intelligent control system; Neural;
Conference_Titel :
Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on
Conference_Location :
Yamagata
Print_ISBN :
978-1-4244-8198-9
DOI :
10.1109/ICIS.2010.157
