Title :
A vector control system of mine local ventilator based on Popov hyper-stability theory
Author :
Ma, Xian-Min ; Du, Shu-jie
Author_Institution :
Sch. of Electr. & Control Eng., Xian Univ. of Sci. & Technol., Xi´´an
Abstract :
A novel speed sensor-less vector control system for the mining local ventilator is presented in order to drain the gas out immediately for safety production in the paper. The identification speed signal is estimated based on Popov hyper-stability theory to real-time control the local ventilator in mining workspace under coal well. The theoretical analysis has indicated that the speed identification algorithm is stability and astringent, and the simulation results show the utility of the system.
Keywords :
control engineering computing; mining; occupational safety; real-time systems; stability; velocity control; ventilation; Popov hyperstability theory; coal well; mine local ventilator; mining workspace; production safety; real-time control; speed identification algorithm; speed sensorless vector control system; Algorithm design and analysis; Analytical models; Cybernetics; Machine learning; Machine vector control; Product safety; Production; Stability analysis; Transducers; Voltage; Mine local ventilator; Popov hyper-stability theory; Speed sensor-less; Vector control;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620707
