scholarly journals Fractional-order controller design in frequency domain using an improved nonlinear adaptive seeker optimization algorithm

2017 ◽  
Vol 25 ◽  
pp. 4299-4310 ◽  
Author(s):  
Mano Ranjan KUMAR ◽  
Vishwa DEEPAK ◽  
Subhojit GHOSH
Mathematics ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 1166 ◽  
Author(s):  
Eva-Henrietta Dulf

Classical fractional order controller tuning techniques usually establish the parameters of the controller by solving a system of nonlinear equations resulted from the frequency domain specifications like phase margin, gain crossover frequency, iso-damping property, robustness to uncertainty, etc. In the present paper a novel fractional order generalized optimum method for controller design using frequency domain is presented. The tuning rules are inspired from the symmetrical optimum principles of Kessler. In the first part of the paper are presented the generalized tuning rules of this method. Introducing the fractional order, one more degree of freedom is obtained in design, offering solution for practically any desired closed-loop performance measures. The proposed method has the advantage that takes into account both robustness aspects and desired closed-loop characteristics, using simple tuning-friendly equations. It can be applied to a wide range of process models, from integer order models to fractional order models. Simulation results are given to highlight these advantages.


2019 ◽  
Vol 41 (15) ◽  
pp. 4351-4357
Author(s):  
Chen Lanfeng ◽  
Xue Dingyu

Fractional-order calculus can obtain better results than the integer-order in control theory, so it has become a research hotspot in recent years. However, the structure of the irrational fractional-order system is complex, so its theoretical analysis and controller design are more difficult. In this paper, a method based on convolution integral is proposed to obtain the frequency domain response of the irrational model. Combined with the optimization algorithm, the model parameters are identified. Moreover, the rationalization of the irrational model is realized, which facilitates the analysis and application design of this kind models. Finally, two examples are given to illustrate the effectiveness and feasibility of the method by identifying parameters and rationalization.


2017 ◽  
Vol 68 ◽  
pp. 212-222 ◽  
Author(s):  
WeiJia Zheng ◽  
Ying Luo ◽  
XiaoHong Wang ◽  
YouGuo Pi ◽  
YangQuan Chen

2018 ◽  
Vol 51 (4) ◽  
pp. 912-917 ◽  
Author(s):  
Eva-H. Dulf ◽  
Mircea Șușcă ◽  
Levente Kovács

Author(s):  
Haiyang Chao ◽  
Ying Luo ◽  
Long Di ◽  
YangQuan Chen

This paper focuses on designing and implementation of fractional order proportional integral (PIα) flight controller on a small fixed-wing unmanned aerial vehicle (UAV). It describes mainly the controller design and simulation studies. The basics of UAV flight control are introduced first with a special emphasis on small UAV platforms. Time domain system identification methods are tried on the UAV roll channel. A new fractional order PI controller design method is then provided based on the identified first order model. The fractional order PIα controller can outperform the traditional integer order PID controller because it has a larger memory and more candidate solutions to choose. The simulation results show the effectiveness of the proposed controller design strategy and the robustness of fractional order controller under conditions of wind gusts and various pay-loads.


2017 ◽  
Vol 50 (1) ◽  
pp. 10431-10436 ◽  
Author(s):  
Z. Yakoub ◽  
M. Chetoui ◽  
M. Amairi ◽  
M. Aoun

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