The ACA-BP Algorithm Based Controller of PID Neural Network and its Simulation

Abstract:

Aiming at the shortages of traditional PID controller, and problems of hardly setting the controller parameters, and the setting time is long, this paragraph gives a design of ACA-BP arithmetic based controller of PID Neural Network. First, uses the Ant Colony algorithm to thickly select the PID neuron network weight parameter. Then adjust parameters online by PID Neural Network and BP algorithm. Finally, we can obtain optimal parameters. The simulation result shows, compared with traditional PID controller, this controller has greatly improved its control performances. This would have some theoretical and practical significance.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 1377-1381
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.1377
• Online since: December 2012
• Authors: Fang Ding, Dong Jian Huang
• Keywords: Ant Colony Algorithm (ACA), BP Algorithm, PID Neural Network

References

[1] Huailin Shu, in: PID neural network and control system, edited by Baodong Li, National defense industry Pubilshers (2006), (In Chinese).

[2] Jinbin Hu, Xuqing Tang: Information Technology Vol. 28 (2006), p.1, (In Chinese).

[3] Shuqian Chen, Lihong Zhang: J. Computer Simulation Vol. 28 (2011), p.238, (In Chinese).

[4] Marco Dorigo, Gambardella, Luca Maria :J. biosystem Vol. 43 (1997), p.73.

[5] Marco Dorigo, Gamabardella, Luca Maria: J. IEEE Trans on Evolutionary Computation Vol. 1 (1997), p.53.