ملخص
In this paper, intelligent control of a particular Catalytic Continuous Stirred Tank Reactor (CSTR) is addressed. Control command is the sum of two components: steady state and transient commands. A fuzzy controller generates a transient control command that pushes the system towards the setpoint. A steady state control command is generated to maintain the steady state situation at the setpoint (based on the concept of 'control equilibrium point'). For comparison, a case study was also controlled by the neuro-predictive algorithm. The studied CSTR is known as a good example of a neuro-predictive control application; however, the newly proposed hybrid intelligent method leads to much better setpoint tracking as well as less change in control command (which is very important in implementation of the control system).
اللغة الأصلية | English |
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الصفحات (من إلى) | 439-444 |
عدد الصفحات | 6 |
دورية | Asian Journal of Control |
مستوى الصوت | 13 |
رقم الإصدار | 3 |
المعرِّفات الرقمية للأشياء | |
حالة النشر | Published - مايو 2011 |
منشور خارجيًا | نعم |
ASJC Scopus subject areas
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