Name
Abstract | ||
|---|---|---|
In order to improve the control efficiency and balance accuracy of rotor automatic balance, a fuzzy self-tuning single neuron PID control method is proposed in this paper. Based on the single neuron PID control method, the fuzzy control theory is introduced to adjust the output gain K of single neuron PID control to realize single neuron PID control with variable step size. In order to verify the superiority of this method, the method we designed in this paper is compared with the traditional PID control method and the single neuron PID control method by the simulation and self-built experimental platform. Experiments and simulation results show that the fuzzy self-tuning single neuron PID control method has faster response time, less overshoot amount and fewer oscillation times than the traditional PID control method and the single neuron PID control method, and has strong robustness and good stability. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1587/elex.14.20170130 | IEICE ELECTRONICS EXPRESS |
Keywords | Field | DocType |
fuzzy control theory, rotor, automatic balance, single neuron | PID controller,Computer science,Control theory,Fuzzy logic,Electronic engineering,Control engineering,Rotor (electric),Auto tuning | Journal |
Volume | Issue | ISSN |
14 | 10 | 1349-2543 |
Citations | PageRank | References |
1 | 0.43 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Xu | 1 | 4 | 1.18 |
| Yang Zhao | 2 | 836 | 116.78 |
| Zhiyuan Jia | 3 | 1 | 0.43 |
| Jianjun Zhang | 4 | 4 | 2.21 |