Title :
The research of speed control system based on intelligent PID controller to mine local ventilator
Author_Institution :
Sch. of Electr. & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
Abstract :
According the feature of mine local ventilator, the paper proposes a kind of control method combining fuzzy neural network (FNN), genetic algorithm (GA) and PID control to local fan. The GA is used to optimize central value and width of the FNN´s membership function, and the BP algorithm is used to optimize the connection coefficients. The experiment shows that the system can adjust automatically fan´s speed according to variation of gas concentration. Compared with conventional PID controllers, this method has obvious advantages. The design of PID controller and speed control of frequency converter can be made with TMS320F2407 DSP system.
Keywords :
backpropagation; digital signal processing chips; fans; frequency convertors; fuzzy control; fuzzy neural nets; genetic algorithms; mining; neurocontrollers; three-term control; velocity control; ventilation; BP algorithm; GA; TMS320F2407 DSP system; connection coefficient optimization; frequency converter speed control; fuzzy neural network; gas concentration variation; genetic algorithm; intelligent PID controller; membership function; mine local ventilator; speed control system; Digital signal processing; Fuel processing industries; Fuzzy control; Fuzzy neural networks; Gas detectors; Genetic algorithms; Joining processes; PID control; TMS320F2407 DSP; fuzzy neural network; genetic algorithm; mine local fan;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5987064
