Neuro-predictive control of an infrared dryer with a feedforward-feedback approach

Morteza Mohammadzaheri*, Lei Chen, Ali Mirsepahi, Mehdi Ghanbari, Reza Tafreshi

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

6 اقتباسات (Scopus)


In this research, a hybrid control system is proposed to address the temperature control of an infrared dryer. The control system includes a feedback-predictive controller and a neural network steady state control law. The feedback-predictive controller outputs the amplified value of the predicted error as the transient control command. The predictive model was employed to suppress the undesirable effect of the dead-time of the system. A multilayer perceptron was designed and tested based on a control equilibrium point and steady state control to be used as a feedforward controller. The stability of the control system in a continuous domain was proved with no limit on the amplification gain of the predictive-feedback controller. In other words, there is no concern about losing stability with accelerating convergence towards the reference. The entire control system was constructed in Simulink and compiled to a C code and applied on the experimental setup. Experimental results are outstanding in comparison with the results of an interactively tuned IMC-based PID controller.

اللغة الأصليةEnglish
الصفحات (من إلى)1972-1977
عدد الصفحات6
دوريةAsian Journal of Control
مستوى الصوت17
رقم الإصدار5
المعرِّفات الرقمية للأشياء
حالة النشرPublished - سبتمبر 1 2015
منشور خارجيًانعم

ASJC Scopus subject areas

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