Title :
Simulation on TPMS based on neural network PID control
Author_Institution :
Shandong Transp. Vocational Coll., Wei fang Town, China
Abstract :
In this paper Tire Pressure Monitor System based on Anti-lock Braking System was studied, and neural network PID algorithm was proposed. A simulation model was originally developed so that the significance of testing on different roads could be tested simultaneously. The results achieved through simulation showed the feasibility of researching TPMS indirectly as well as fuzzy self-adjusting control.
Keywords :
automobiles; brakes; condition monitoring; fuel economy; fuzzy control; neurocontrollers; pressure control; road safety; self-adjusting systems; three-term control; tyres; TPMS simulation; antilock braking system; automobile driving safety; fuel economy; fuzzy self-adjusting control; neural network PID control; road; tire pressure monitor system; Atmospheric modeling; Automobiles; Mathematical model; Roads; Tires; Wheels; ABS; TPMS; neural network PID control;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025436
