Design of Temperature Control System Based on DSP and Fuzzy Neural Network

Abstract:

Using fuzzy neural network to tune PID parameters, and DSP as processor, it was designed that a set of electric boiler temperature control system based on PID parameters self-tuning, including the design of each hardware module and each software subroutine of the system. Experimental results show that compared with the traditional PID temperature control system, this temperature control system has the advantages such as good control effect, easy parameter adjustment, strong anti-jamming capability, better adaptability and robustness, has the feasibility and practical value.

• Periodical: Advanced Materials Research (Volume 823)
• Pages: 384-387
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.823.384
• Online since: October 2013
• Authors: Ya Juan Chen, Yue Hong Zhang, Gen Wang Ying
• Keywords: Digital Signal Processor (DSP), Fuzzy Neural Network (FNN), PID Controller, Temperature Control System

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DOI: 10.1109/iceis.2006.1703213