Tuning PI and fractional order PI controllers with an additional fractional order Pole

2017 ◽  
Vol 205 (2) ◽  
pp. 207-225 ◽  
Author(s):  
Kianoush Ranjbaran ◽  
Mohammad Tabatabaei
2018 ◽  
Vol 210 ◽  
pp. 02013
Author(s):  
Manuel A. Duarte-Mermoud ◽  
Juan-Carlos Travieso-Torres ◽  
Tedy A. Crespo-Herrera

The use of fractional order proportional-integral (FOPI) controllers, applied to back-to-back (BTB) power converters is proposed and studied in this paper. A comparative study with the integer order proportional-integral (PI) controllers, traditionally used for this purposes, is performed and the result are discussed. The BTB power converter is connected between a permanent magnet synchronous generator (PMSG) -which is moved by a turbine placed in line with a mineral pipeline for energy recovery purposesand the electrical network, to inject the recovered energy through a voltage control into the electrical network. Simulations under normal conditions (constant torque) as well as under variable torque variations are studied, representing different possible operating scenarios for the generator.


2020 ◽  
Vol 107 ◽  
pp. 370-384
Author(s):  
Florindo A. de C. Ayres ◽  
Iury Bessa ◽  
Vinicius Matheus Batista Pereira ◽  
Nei Junior da Silva Farias ◽  
Alessandra Ribeiro de Menezes ◽  
...  

Author(s):  
Erhan Yumuk ◽  
Müjde Güzelkaya ◽  
İbrahim Eksin

In this study, we deal with systems that can be represented by single fractional order pole models and propose an integer order proportional–integral/proportional–integral–derivative controller design methodology for this class. The basic principle or backbone of the design methodology of the proposed controller relies on using the inverse of the fractional model and then approximating this fractional controller transfer function by a low integer order model using Oustaloup filter. The emerging integer order controller reveals itself either in pre-filtered proportional–integral or proportional–integral–derivative form by emphasizing on the dominancy concept of pole-zero configuration. Parameters of the proposed controllers depend on the parameters of the single fractional order pole model and the only free design parameter left is the overall controller gain. This free design parameter is determined via some approximating functions relying on an optimization procedure. Simulation results show that the proposed controller exhibits either satisfactory or better results with respect to some performance indices and time domain criteria when they are compared to classical integer order proportional–integral–derivative and fractional order proportional–integral–derivative controllers. Moreover, the proposed controller is applied to real-time liquid level control system. The application results show that the proposed controller outperforms the other controllers.


2006 ◽  
Vol 39 (11) ◽  
pp. 22-27 ◽  
Author(s):  
YangQuan Chen ◽  
Huifang Dou ◽  
Blas M. Vinagre ◽  
Concha. A. Monje

2020 ◽  
Vol 5 (1) ◽  
pp. 73-78
Author(s):  
Sami LAIFA ◽  
Badreddine BOUDJEHEM

This paper presents a new design method of Fractional Order Proportional Integral Controller (FO-PI) for 3x3 multivariable system (three-input-three-output). The Optimal parameters of the FO-PI controllers are tuning by minimizing performance index criterion as objective function. The irrational transfer function of the fractional operator is performed by means of diffusive representation and allows to formulate the optimization problem as a function of fractional order. The simulation results show that the performance of the response obtained by diffusive approach -based FO-PI are better than whose obtained by the classical controllers.


2019 ◽  
Vol 16 (06) ◽  
pp. 1950042
Author(s):  
Jorge Muñoz ◽  
Concepción A. Monje ◽  
Santiago Martínez de la Casa ◽  
Carlos Balaguer

This paper presents a control scheme for the humanoid robot TEO’s elbow joint based on a novel tuning method for fractional-order PD and PI controllers. Due to the graphical nature of the proposed method, a few basic operations are enough to tune the controllers, offering very competitive results compared to classic methods. The experiments show a robust performance of the system to mass changes at the tip of the humanoid arm.


2018 ◽  
Vol 51 (4) ◽  
pp. 757-762 ◽  
Author(s):  
Mehdi Ghasem Moghadam ◽  
Fabrizio Padula ◽  
Lorenzo Ntogramatzidis

Author(s):  
Derek P. Atherton ◽  
Ali Yüce ◽  
Nusret Tan ◽  
Furkan Nur Deniz

Sign in / Sign up

Export Citation Format

Share Document