scholarly journals A Multivariable Twin-Rotor System Control Design

2021 ◽  
Vol 11 (1) ◽  
pp. 6626-6631
Author(s):  
E. Pathan ◽  
M. H. Khan ◽  
M. K. Aslam ◽  
M. Asad ◽  
H. Arshad ◽  
...  

This paper presents the design of a Multi-Input Multi-Output (MIMO) PID controller for a twin-rotor MIMO system. A multivariable control system consisting of two loops is designed for a non-linear system with two inputs and two outputs. The designed controllers have been tested on a simulated model with different possibilities and real-time results were taken. The designed PID controller efficiently controls the loops of the system and does not suffer from any process interactions. The results indicate that the performance of the PID controllers is excellent and both the transient and the steady-state enactment are adequate. The yaw and pitch rotor’s real-time responses are almost the same as the desired ones.

2018 ◽  
Vol 73 (4) ◽  
pp. 137-149 ◽  
Author(s):  
Mohammed Zinelaabidine Ghellab ◽  
Samir Zeghlache ◽  
Abderrahmen Bouguerra

2018 ◽  
Vol 36 (6) ◽  
pp. 547-567
Author(s):  
Debdoot Sain ◽  
Subrat Kumar Swain ◽  
Ayan Saha ◽  
Sudhansu Kumar Mishra ◽  
Sarbani Chakraborty

2018 ◽  
Vol 15 (2) ◽  
pp. 192-204 ◽  
Author(s):  
Arpit Jain ◽  
Satya Sheel ◽  
Piyush Kuchhal

Purpose The purpose of this paper is to study the application of entropy based optimized fuzzy logic control for a real-time non-linear system. Optimization of the fuzzy membership function (MF) is one of the most explored areas for performance improvement of the fuzzy logic controllers (FLC). Conversely, majority of previous works are motivated on choosing an optimized shape for the MF, while on the other hand the support of fuzzy set is not accounted. Design/methodology/approach The proposed investigation provides the optimal support for predefined MFs by using genetic algorithms-based optimization of fuzzy entropy-based objective function. Findings The experimental results obtained indicate an improvement in the performance of the controller which includes improvement in error indices, transient and steady-state parameters. The applicability of proposed algorithm has been verified through real-time control of the twin rotor multiple-input, multiple-output system (TRMS). Research limitations/implications The proposed algorithm has been used for the optimization of triangular sets, and can also be used for the optimization of other fussy sets, such as Gaussian, s-function, etc. Practical implications The proposed optimization can be combined with other algorithms which optimize the mathematical function (shape), and a potent optimization tool for designing of the FLC can be formulated. Originality/value This paper presents the application of a new optimized FLC which is tested for control of pitch and yaw angles in a TRMS. The performance of the proposed optimized FLC shows significant improvement when compared with standard references.


2014 ◽  
Vol 4 (3) ◽  
Author(s):  
Samir Zeghlache ◽  
Kamel Kara ◽  
Djamel Saigaa

AbstractThe helicopter dynamic includes nonlinearities, parametric uncertainties and is subject to unknown external disturbances. Such complicated dynamics involve designing sophisticated control algorithms that can deal with these difficulties. In this paper, a type 2 fuzzy logic PID controller is proposed for TRMS (twin rotor mimo system) control problem. Using triangular membership functions and based on a human operator experience, two controllers are designed to control the position of the yaw and the pitch angles of the TRMS. Simulation results are given to illustrate the effectiveness of the proposed control scheme.


2019 ◽  
Vol 36 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Benyettou Loutfi ◽  
Zeghlache Samir ◽  
Djerioui Ali ◽  
Ghellab Mohammed Zinelaabidine

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