توضیحات
ABSTRACT
In the paper a fuzzy model based predictive control algorithm is presented.The proposed algorithm is developed in the state space and is given in analytical form,which is an advantage in comparison with optimisation based control schemes.Fuzzy model-based predictive control is potentially interesting in the case of batch reactors,heat exchangers,furnaces and all the processes with strong nonlinear dynamics and high transport delays.In our case it is implemented to a continuous stirred-tank simulated reactor and compared to optimal PI control.Some stability and design issues of fuzzy model-based predictive control are also given.
INTRODUTION
The fundamental methods which are essentially based on the principal of predictive control are Generalized Predictive Control [4],Model Algorithmic Control [21] and Predictive Functional Control [22], Dynamic Matrix Control [5], Extended Prediction Self-Adaptive Control [6] and Extended Horizon Adaptive Control [30].All those methods are developed for linear process models.
Year:2007
Publisher:J Intell Robot Syst
By:Sašo Blažiˇc · Igor Škrjanc
File information: English Language / 14 Page / Size :348 KB
Download : click
سال:2007
ناشر:J Intell Robot Syst
کاری از:Sašo Blažiˇc · Igor Škrjanc
اطلاعات فایل: زبان انگلیسی/ 14 صفحه/ حجم 348 کیلوبایت
لینک دانلود : روی همین لینک کلیک کنید
نقد و بررسیها
هنوز بررسیای ثبت نشده است.