Performance criteria and tuning of fractional-order cascade control system

被引:1
作者
Garai, Somnath [1 ]
Basu, Priyobroto [2 ]
Sutradhar, Ashoke [1 ]
Sengupta, Anindita [1 ]
机构
[1] Indian Inst Engn Sci & Technol, Dept Elect Engn, Kolkata, India
[2] Calcutta Inst Engn & Management, Dept Instrumentat & Control Engn, Kolkata, India
来源
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES | 2020年 / 45卷 / 01期
关键词
Cascade control; fractional-order PID controllers; model mismatch; robust; Smith predictor; stability analysis;
D O I
10.1007/s12046-020-01478-z
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Industrial process control systems suffer from the overshoot problem. Designing the controller plant models by conventional Proportional Integral Derivative (PID) may increase the rise time, settling time and overshoot. Cascade control is a remedial measure undertaken to overcome these problems. In this paper, we present a new cascade model using fractional-order PIDs. The fractional-order cascade controller can be expressed by fractional-order differential equations. Different laws proposed in the field of fractional calculus form the theoretical part in evaluating the equations and designing the controllers. The new structure gives improved responses for the first-order and second-order systems with time delay. Better simulation results are obtained by introducing Smith predictor in primary and secondary loops. Detailed analyses have been done on the stability, performance criteria and disturbance rejection. The usefulness of this proposed cascade structure and its superiority over normal cascade are illustrated with examples.
引用
收藏
页数:5
相关论文
共 17 条
[1]  
Alfaro VM, 2008, P IEEE C DEC CONTR S
[2]  
[Anonymous], 2013, IOSR J, DOI DOI 10.9790/0853-1167679
[3]   Robust IMC-PID tuning for cascade control systems with gain and phase margin specifications [J].
Azar, Ahmad Taher ;
Serrano, Fernando E. .
NEURAL COMPUTING & APPLICATIONS, 2014, 25 (05) :983-995
[4]  
Baviskar SM., 2014, Int J Appl Eng Res, V9, P1581
[5]  
Bhambhani V, 2008, OPTIMAL FRACTIONAL O
[6]  
Garai S., 2016, Int. J. Eng. Manage. Res. (IJEMR), V6, P289
[7]  
Hang C. C., 1994, IEEE Transactions on Control Systems Technology, V2, P42, DOI 10.1109/87.273109
[8]  
Hemavathy P, 2016, Indian J Sci Technol, V9, P1, DOI DOI 10.17485/ijst/2016/v9i45/99603
[9]  
Kaya I, 2015, 2015 19TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), P32, DOI 10.1109/ICSTCC.2015.7321265
[10]  
Padhan DG, 2015, 2015 CONFERENCE ON POWER, CONTROL, COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES FOR SUSTAINABLE GROWTH (PCCCTSG), P102, DOI 10.1109/PCCCTSG.2015.7503890