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Development of underground coal mine drainage monitoring system based on DSP
- Source :
- The Journal of Engineering (2020)
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Aiming at solving problems such as non-linear, time-varying parameters, and weak digital computing capability in the underground drainage system, the monitoring system is built based on a digital signal processor (DSP). Adopting DSP28335 as its control core, the hardware circuit and software program are designed in this monitoring system. The single-neuron fuzzy proportional, integration, and differential (PID) control algorithm with feedforward proportional and differential compensation is proposed in this study. The simulation results are compared and analysed with a traditional PID algorithm, fuzzy PID algorithm, and single-neuron fuzzy PID algorithm with feedforward in Matlab/Simulink, and the experimental platform is built to verify the application effect of three control algorithms. The simulation and experiment results show that the single-neuron fuzzy PID algorithm with feedforward has significant advantages such as shorter adjustment time, good adaptivity, and strong anti-interference ability, which could effectively improve the work efficiency of an underground mine drainage monitoring system.
- Subjects :
- digital signal processing chips
fuzzy control
three-term control
feedforward
mining industry
compensation
single-neuron fuzzy pid algorithm
nonlinear parameters
time-varying parameters
weak digital computing capability
digital signal processor
dsp28335
control core
hardware circuit
software program
differential compensation
underground coal mine drainage monitoring system
single-neuron fuzzy proportional, integration, and differential control algorithm
feedforward proportional compensation
matlab-simulink
Engineering (General). Civil engineering (General)
TA1-2040
Subjects
Details
- Language :
- English
- ISSN :
- 20513305
- Database :
- Directory of Open Access Journals
- Journal :
- The Journal of Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.991f39b766ab41e6941c56e2afb58e5a
- Document Type :
- article
- Full Text :
- https://doi.org/10.1049/joe.2020.0112