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, and the control system has excellent performance.