Title :
A statistical likelihood based knock control scheme
Author :
Haoyun Shi ; Jun Yang ; Tielong Shen ; Jones, James C. Peyton
Author_Institution :
Dept. of Eng. & Appl. Sci., Sophia Univ., Tokyo, Japan
Abstract :
A new likelihood-based knock controller is implemented and tested for the first time on a full-scale engine control test bench equipped with a production V6 gasoline engine. The binomial probability theory, and maximum likelihood estimation, which underly the algorithm are described in detail, and the control law which adjusts the spark advance according to the likelihood of the observed knock events relative to the target knock probability is presented.
Keywords :
binomial distribution; control system synthesis; internal combustion engines; maximum likelihood estimation; mechanical variables control; binomial probability theory; control law; full-scale engine control test bench; maximum likelihood estimation; production V6 gasoline engine; spark advance; statistical likelihood based knock control scheme; target knock probability; Engines; Equations; Maximum likelihood estimation; Petroleum; Sparks; Timing; Torque; Engine control; Maximum likelihood estimation; Stochastic control;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
