ZHANG Yan, YAN Yong-hong, LIU Jing, et al. Design of a Ventilation Centrifuge Control Platform Based on Internet of Things Technology[J]. 2016, 33(11): 171-175.
ZHANG Yan, YAN Yong-hong, LIU Jing, et al. Design of a Ventilation Centrifuge Control Platform Based on Internet of Things Technology[J]. 2016, 33(11): 171-175.DOI:
Design of a Ventilation Centrifuge Control Platform Based on Internet of Things Technology
Optimization design of centrifugal fan control platform in networking and embedded Linux kernel environment
improve the integrated control performance of the ventilator
the inhibition ability of the control platform of disturbances is not good
is proposed based on multimode Fuzzy Self-Organizing Neural Network Control Algorithm Based on constraint parameter optimization solution control control law design of robust PID control algorithm loading platform design in the embedded program loading module
based on the analysis of the whole design and technical parameters of centrifugal fan multimode control system
network software and hardware design of centrifugal fan multimode control system built under the environment of embedded Linux kernel
control platform port information collection the remote control system
visual operation and other functions. Finally
the system is debugged and tested. The experimental results show that the control system is robust and the control error is low
Feyzmahdavian H R, Charalambous T, Johansson M. Exponential stability of homogeneous positive systems of degree one with time-varying delays[J]. IEEE Transactions on Automatic Control, 2014, 59(6): 1594-1599 DOI: 1594
Ngoc P H A. Stability of positive differential systems with delay[J]. IEEE Transactions on Automatic Control, 2013, 58(1): 203-209. DOI: 203
Jing X J, Cheng L. An optimal PID control algorithm for training feedforward neural networks[J]. IEEE Transactions on Industrial Electronics, 2013, 60(6): 2273-2283. DOI: 2273
Zhang J F, Han Z Z, Wu H. Robust finite-time stability and stabilization of switched positive systems[J]. IET Control Theory and Applications, 2014, 8(1): 67-75. DOI: 67