Abstract
Taking the multi-variable of synchronization system of the AC induction motors as study object, focusing on the system of induction motors powered by current-tract SPWM transducers, the mathematical model of the system of two motors is established. Combining decoupling technology of adaptive neuron decoupling compensator, RBF neural network adaptive PID controller is adopted to design the neural network controller of two-motor synchronous system. The experiment results show that the two-motor synchronous system is decoupled based on neural network control.
| Original language | English |
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| Title of host publication | Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08 |
| Pages | 1829-1833 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | 7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China Duration: 25 Jun 2008 → 27 Jun 2008 |
Publication series
| Name | Proceedings of the World Congress on Intelligent Control and Automation (WCICA) |
|---|
Conference
| Conference | 7th World Congress on Intelligent Control and Automation, WCICA'08 |
|---|---|
| Country/Territory | China |
| City | Chongqing |
| Period | 25/06/08 → 27/06/08 |
Keywords
- Decoupling control
- Neural network
- Speed
- Tension
- Two-motor synchronous system
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Liu, X., Liang, X., Chen, C., & Ji, F. (2008). Study on double motor synchronous system of neural network control. In Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08 (pp. 1829-1833). Article 4593201 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2008.4593201