منابع مشابه
Cstr Control Using Multiple Models
Almost every real process exhibits nonlinear behavior in a full operating range. Local Model Networks are networks which are composed of locally accurate models, where output is interpolated by smooth locally active validity functions. This divide-and-conquer strategy is a general way of coping with complex systems. The architecture of LMN benefits from being able to incorporate a priori knowle...
متن کاملCertain Investigation on Concentration Control of CSTR - A Comparative Approach
In this paper the design of a nonlinear feedback controller is analyzed for concentration control of continuous stirred tank reactors (CSTR) which have strong nonlinearities. Continuous Stirred Tank Reactor (CSTR) is one of the common reactors in chemical process and all industrial process requires a solution of specific chemical strength of chemicals considered for analysis. Here Particle Swar...
متن کاملComparative Analysis of CSTR Concentration Control Using Different Soft Computing Techniques
This paper presents a comparative study of Continuous Stirred Tank Reactor concentration control using Particle Swam Optimization and Bacterial Forging Optimization. Continuous stirred tank reactor plays a very important role in process industry. This paper presents the optimal design of PID controller based on Particle Swarm Optimization and Bacterial Forging Optimization. The first step is th...
متن کاملCSTR Control by Using Model Reference Adaptive Control and PSO
This paper presents a comparative analysis of continuously stirred tank reactor (CSTR) control based on adaptive control and optimal tuning of PID control based on particle swarm optimization. In the design of adaptive control, Model reference adaptive control (MRAC) scheme is used, in which the adaptation law have been developed by MIT rule & Lyapunov’s rule. In PSO control parameters of PID c...
متن کاملModeling and Control of CSTR using Model based Neural Network Predictive Control
this paper presents a predictive control strategy based on neural network model of the plant is applied to Continuous Stirred Tank Reactor (CSTR). This system is a highly nonlinear process; therefore, a nonlinear predictive method, e.g., neural network predictive control, can be a better match to govern the system dynamics. In the paper, the NN model and the way in which it can be used to predi...
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 Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/3106-4265