DRNN Based Decoupling Algorithm of Self-Tuning Controller on Line

Abstract:

In order to solve the puzzle that the change of a loop circuit parameter results in operation parameters change of other loop circuit in the control system, the paper proposed a sort of decoupling control algorithm of online self-tuning based on DRNN. In the paper, it took the temperature and humidity control of a certain controlled object as an example, constructed the mathematic model, analyzed the coupling relationship among the system variable, designed the decoupling network. It transforms the multi-variable control system with coupling relationship as the independent single-variable control system so as to eliminate the effect among related control channels. Based on decoupling algorithm of DRNN proposed in this paper, it made the research on system simulation experiment, and the response of system simulation demonstrated that it is very small to the effect of two channels of temperature and humidity control after through decoupling, and realized the decoupling among coupling variables. The results of simulation research show that the proposed decoupling control algorithm is feasible and reasonable.

• Periodical: Applied Mechanics and Materials (Volume 442)
• Pages: 430-436
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.442.430
• Online since: October 2013
• Authors: Bo Bi*, Xiao Yi Yang
• Keywords: Diagonal Recurrent Neural Network, Humidity Decoupling, Parameter Tuning Strategy, Self-Tuning Decoupling PID Controller, Temperature Decoupling

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