Design of PID Temperature Control System Based on BP Neural Network

Abstract:

Based on BP neural network PID controller has the ability to approximate any nonlinear function, can achieve real-time online tuning PID controller parameter . Through the system simulation analysis, simulation results show that the BP neural network tuning PID control than traditional PID algorithm and BP network algorithm has a greater degree of improvement, the system has better robustness and adaptability, its output can also achieve the desired control accuracy through online adjustments. Suitable for temperature control system.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 1244-1247
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.1244
• Online since: August 2014
• Authors: Zhi Yong Meng*, Guo Qing Yu, Rui Jin
• Keywords: BP Neural Network (BPNN), Online Tuning, PID Controller

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