Fuzzy Gain Scheduling of the Fractional-Order PID Controller for a Continuous Stirred-Tank Reactor Process

被引:0
|
作者
Wase, Minyamer Gelawe [1 ]
Gebrekirstos, Rahel Fitwi [1 ]
Jin, Gang-Gyoo [1 ]
So, Gun-Baek [2 ]
机构
[1] Adama Sci & Technol Univ, Dept Elect Power & Control Engn, POB 1888, Adama, Ethiopia
[2] Mokpo Natl Maritime Univ, Dept Maritime Ind Convergence, 91 Haeyangdaehak Ro, Mokpo Si 58628, South Korea
基金
新加坡国家研究基金会;
关键词
CSTR process; fractional-order PID controller; fuzzy gain scheduling; Tagaki-Sugno fuzzy model; genetic algorithm; SYSTEMS;
D O I
10.3390/pr11123275
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In most chemical industries, continuous stirred-tank reactors (CSTRs) are essential for the production of chemicals. The CSTR process is highly nonlinear and has both stable and unstable equilibrium points. Control system engineers face a difficult issue when designing a single controller for temperature control in both stable and unstable areas. Due to these problems, implementing the conventional proportional-integral-derivative (PID) controller may lead to instability in controlled variables. Therefore, in this paper, the entire operating region is divided into three regions. The fractional-order PID controller as a local controller is designed in each operating region to control the temperature, and its parameters are tuned with a genetic algorithm by minimizing the integral of absolute error and control input change with a weighting factor. Then, a fuzzy gain scheduling scheme based on the Tagaki-Sugno fuzzy model is used to properly interpolate the outputs of the local controllers. A set of simulations are carried out to demonstrate the effectiveness of the proposed controller, and its performance is compared with that of an adaptive nonlinear controller and fuzzy gain scheduling of the PID controller.
引用
收藏
页数:15
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