BP Neural Network for Mobile Robot Self-Tuning PID Controller Design

Wei Li; Jian Fang

doi:10.4028/www.scientific.net/AMR.898.755

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 898BP Neural Network for Mobile Robot Self-Tuning PID...

BP Neural Network for Mobile Robot Self-Tuning PID Controller Design

Abstract:

Establish the attitude model for self-designed mobile robot, According to the characteristics of nonlinear, unstable, using BP neural network method to achieve self-tuning PID parameters to make optimal parameters of the PID controller. Stabilization control of two-wheeled self-balanced robots at the same time, decrease the overshoot of the system and the number of shocks. Simulation experiments show that: Using BP neural network self-tuning PID controller improves system stability, effectiveness has been well controlled, with high practical value

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Periodical:

Advanced Materials Research (Volume 898)

Pages:

755-758

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.898.755

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Online since:

February 2014

Authors:

Wei Li*, Jian Fang

Keywords:

BP Neural Network (BPNN), Mobile Robot, PID

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* - Corresponding Author

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