Liquid level control in two tanks spherical interacting system with fractional order proportional integral derivative controller using hybrid technique: A hybrid technique

被引:10
作者
Arivalahan, R. [1 ]
Tamilarasan, P. [1 ]
Kamalakannan, M. [2 ]
机构
[1] SRM Valliammai Engn Coll, Dept Elect & Elect Engn, Kattankulathur, India
[2] Pwsim Engn Solut Pvt Ltd, Bengaluru, India
关键词
Chaotic Henry gas solubility optimization; Feedback artificial tree; Fractional-order proportional integral; derivative; Multiple-input multiple-output; PID CONTROLLER;
D O I
10.1016/j.advengsoft.2022.103316
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper proposes a Liquid Level Control in two tanks spherical interacting system (TTSIS) with Fractional Order Proportional Integral Derivative (FOPID) controller using hybrid system. The proposed approach is the consolidation of chaotic Henry gas solubility optimization (CHGSO) and Feedback Artificial tree (FAT), and later it is known as CHGSO-FAT technique. The FOPID controller is modeled as Fractional Order System for a spherical tank's liquid level control. The Spherical tank system is important in nonlinear operation, because its variation on the radius of tank and the interaction of the two tanks with FOPID sliding surface. Moreover, FOPID controller is proposed the system output is directly used to tune the system parameters. The proposed controller is enhanced by increasing the fractional values of the derivative term FOPID sliding surface. The performance indices, as settling time, rise time, peak overshoot and peak time is analyzed. The proposed system is performed on MATLAB/Simulink working platform. The mean, median and standard deviation for 100 iterations with proposed system is 0.338, 0.4173 and 0.00334.
引用
收藏
页数:14
相关论文
共 36 条
[1]  
Abadi MRRM, 2012, International Journal of Information Technology, Control and Automation, V2, P21
[2]   Swarm optimization approach to design PID controller for artificially ventilated human respiratory system [J].
Acharya, Debasis ;
Das, Dushmanta Kumar .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 198
[3]   Fractional-Order Control of Pneumatic Position Servosystems [J].
Cao Junyi ;
Cao Binggang .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2011, 2011
[4]  
Carnevale C., 2008, IFAC Proceedings, V41, P13324
[5]  
Chandra IS, 2016, SYSTEM, V5, P149
[6]  
Damrudhar O, 2016, INT J LATEST TRENDS, V7, P345
[7]   Spatial PID consensus controllers for distributed filters of distributed parameter systems [J].
Demetriou, Michael A. .
SYSTEMS & CONTROL LETTERS, 2014, 63 :57-62
[8]   An efficient tuning of fractional order PID controller for an industrial control process [J].
Divya, N. ;
Manoharan, S. ;
Arulvadivu, J. ;
Palpandian, P. .
MATERIALS TODAY-PROCEEDINGS, 2022, 57 :1654-1659
[9]  
Fellani M.A., 2015, International Journal of Electrical and Computer Engineering, V5, P436
[10]  
Francis SH, 2022, CIRC SYST SIGNAL PR, V41, P1751, DOI 10.1007/s00034-021-01850-2