Modelling of the Twin Rotor MIMO System (TRMS) Using the First Principles Approach

The didactic ubiquitous rotorcraft, the Twin-Rotor Multi-Input Multi-Output System (TRMS) model, a universal laboratory apparatus/hardware is employed in this aerodynamics/ aeronautics modelling research work. From the survey conducted revealed that several advanced modelling techniques/approaches have been employed to control its flight/motion and operation. But due to a significant cross-linkage dynamics existing between the rotating twin rotors, cause the TRMS to be highly nonlinear, high-dimensional and complex, thus posing various control and modelling challenges. The complexity of this problem is comparable and analogous to a real-life helicopter. An optimal model-based solution to this has been presented here, based on the Newtonian and Lagrangian laws for nonlinear optimal control.

[1]  Mushtaq Ahmad B. Sarvat Modelling and control of a twin rotor MIMO system. , 2001 .

[2]  Santosh Kumar Choudhary,et al.  optimal feedback control of a twin rotor MIMO system , 2017 .

[3]  Tho Dang Huu,et al.  Modelling of Twin Rotor MIMO system , 2016, 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA).

[4]  Ghaida A. Al-Suhail,et al.  PSO-based Optimal PID Controller for Twin Rotor MIMO System , 2015 .

[5]  Mohammed Moness,et al.  An algorithm for parameter estimation of twin-rotor multi-input multi-output system using trust region optimization methods , 2013, J. Syst. Control. Eng..

[6]  Habib Dimassi,et al.  An adaptive observer for a class of nonlinear systems with a high-gain approach. Application to the twin-rotor system , 2019 .

[7]  Siti Fauziah Toha,et al.  PID and inverse-model-based control of a twin rotor system , 2011, Robotica.

[8]  Antonio Fernández-Caballero,et al.  Robust Decentralized Nonlinear Control for a Twin Rotor MIMO System , 2016, Sensors.

[9]  Akbar Rahideh,et al.  Constrained output feedback model predictive control for nonlinear systems , 2012 .

[10]  Herman Wahid,et al.  Optimal Tuning of Linear Quadratic Regulator Controller Using a Particle Swarm Optimization for Two-Rotor Aerodynamical System , 2017 .

[11]  Mohammed Moness,et al.  Experimental nonlinear identification of a lab-scale helicopter system using MLP neural network , 2017, 2017 13th International Computer Engineering Conference (ICENCO).

[12]  Petko H. Petkov,et al.  Robust Real-Time Control of a Two-Rotor Aerodynamic System , 2008 .

[13]  Ankesh Kumar Agrawal Optimal Controller Design for Twin Rotor MIMO System , 2013 .

[14]  Victor D. N. Santos,et al.  APPLICATION OF FRACTIONAL ALGORITHMS IN THE CONTROL OF A TWIN ROTOR MULTIPLE INPUT-MULTIPLE OUTPUT SYSTEM , 2008 .

[15]  Yener Taskin Improving pitch and yaw motion control of twin rotor MIMO system , 2014 .

[16]  M. O. Tokhi,et al.  Ant Colony Based Model Prediction of a Twin Rotor System , 2012 .

[17]  Jih-Gau Juang,et al.  Intelligent control scheme for twin rotor MIMO system , 2005, IEEE International Conference on Mechatronics, 2005. ICM '05..

[18]  Fares Boudjema,et al.  Model Parameter Identification and Nonlinear Control of a Twin Rotor MIMO System - TRMS , 2009 .

[19]  Jih-Gau Juang,et al.  DESIGN AND REALIZATION OF A HYBRID INTELLIGENT CONTROLLER FOR A TWIN ROTOR MIMO SYSTEM , 2013 .

[20]  Jih-Gau Juang,et al.  Comparison of classical control and intelligent control for a MIMO system , 2008, Appl. Math. Comput..

[21]  Siti Fauziah Toha,et al.  Augmented feedforward and feedback control of a twin rotor system using real-coded MOGA , 2010, IEEE Congress on Evolutionary Computation.

[22]  Kamran Turkoglu,et al.  Adaptive Differential Thrust Methodology for Lateral/Directional Stability of an Aircraft with a Completely Damaged Vertical Stabilizer , 2015, 1503.07258.

[23]  Bidyadhar Subudhi,et al.  A differential evolution based neural network approach to nonlinear system identification , 2011, Appl. Soft Comput..

[24]  Emir Zunic,et al.  Neural networks for helicopter azimuth and elevation angles control obtained by cloning processes , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

[25]  Viviana Cocco Mariani,et al.  Fuzzy Inference System Approach Using Clustering and Differential Evolution Optimization Applied to Identification of a Twin Rotor System , 2017 .

[26]  M. O. Tokhi,et al.  Design of a Command Shaper for Vibration Control of Flexible Systems: A Genetic Algorithm Optimisation Approach , 2007 .

[27]  J. Machado,et al.  APLICATION OF FRACTIONAL ALGORITMS IN THE CONTROL OF AN HELICOPTER SYSTEM , 2013 .

[28]  Hashim A. Hashim,et al.  Fuzzy Controller Design Using Evolutionary Techniques for Twin Rotor MIMO System: A Comparative Study , 2015, Comput. Intell. Neurosci..

[29]  Samsul Bahari Mohd Noor,et al.  Controlling the Pitch and Yaw Angles of Twin Rotor MIMO System in Simulation-Based Platform using Fuzzy Logic Controller and PID Controller , 2014 .

[30]  Abderrahmen Bouguerra,et al.  Real time implementation of fuzzy gain-scheduled PID controller for twin rotor MIMO system (TRMS) , 2018 .

[31]  Jih-Gau Juang,et al.  A hybrid intelligent controller for a twin rotor MIMO system and its hardware implementation. , 2011, ISA transactions.

[32]  P. Mhaskar,et al.  A method for PID controller tuning using nonlinear control techniques , 2005, Proceedings of the 2004 American Control Conference.

[33]  M. G. Ortega,et al.  A Multivariable Nonlinear H ∞ Controller for a Laboratory Helicopter , 2005 .

[34]  M.G. Ortega,et al.  A Multivariable Nonlinear H∞Controller for a Laboratory Helicopter , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[35]  Sudhansu Kumar Mishra,et al.  Real-Time Performance Analysis of FOI-PD Controller for Twin Rotor MIMO System , 2018, IETE Technical Review.

[36]  Waqas A. Imtiaz,et al.  Control Law Design for Twin Rotor MIMO System with Nonlinear Control Strategy , 2016 .

[37]  Peng Wen,et al.  Decoupling control of a twin rotor mimo system using robust deadbeat control technique , 2008 .

[38]  Siti Fauziah Toha,et al.  Dynamic Nonlinear Inverse-Model Based Control of a Twin Rotor System Using Adaptive Neuro-fuzzy Inference System , 2009, 2009 Third UKSim European Symposium on Computer Modeling and Simulation.