Control of a Heat Exchanger Using Neural Network Predictive Controller Combined with Auxiliary Fuzzy Controller
نویسندگان
چکیده
منابع مشابه
Control of a Heat Exchanger Using Neural Network Predictive Controller and Auxiliary Fuzzy Controller
The paper presents an advanced control strategy that uses the neural network predictive controller and the fuzzy controller in the complex control structure with an auxiliary control variable. The controlled tubular heat exchanger was used for pre-heating of petroleum by hot water. The heat exchanger was modelled as a nonlinear system with interval parametric uncertainty. The set point tracking...
متن کاملNeural network predictive control of a heat exchanger
Possibility to use a neural network predictive control (NNPC) strategy for control of a heat exchanger is studied. The heat exchanger is a tubular one and it is used for preheating of petroleum by hot water. The control objective is to keep the output temperature of the heated stream at a desired value and minimize the energy consumption. The advantage of the NNPC is that it is not a linear-mod...
متن کاملA neural network model predictive controller
A neural network controller is applied to the optimal model predictive control of constrained nonlinear systems. The control law is represented by a neural network function approximator, which is trained to minimize a control-relevant cost function. The proposed procedure can be applied to construct controllers with arbitrary structures, such as optimal reduced-order controllers and decentraliz...
متن کاملTube Model Predictive Control with an Auxiliary Sliding Mode Controller
This paper studies Tube Model Predictive Control (MPC) with a Sliding Mode Controller (SMC) as an auxiliary controller. It is shown how to calculate the tube widths under SMC control, and thus how much the constraints of the nominal MPC have to be tightened in order to achieve robust stability and constraint fulfillment. The analysis avoids the assumption of infinitely fast switching in the SMC...
متن کاملFuzzy Model-based Neural Network Predictive Control of a Heat Exchanger
The paper investigates a predictive control algorithm to regulate the output petroleum temperature of the tubular heat exchanger. In the controller design, a Takagi–Sugeno fuzzy model is applied in combination with the model predictive control algorithm. The process model in form of the Takagi–Sugeno fuzzy model is obtained via subtractive clustering from the plant's data set. The neural networ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Instrumentation and Control Systems
سال: 2018
ISSN: 2319-412X,2249-1147
DOI: 10.5121/ijics.2018.8202