A Review of Control Algorithms for Twin Rotor Systems

Ado Haruna, Zaharuddin Mohamed, Auwalu M. Abdullahi, Mohd Ariffanan Mohd Basri

Abstract

Twin rotor systems in many ways resemble helicopters and they are multiple-input multiple-output (MIMO) systems, highly nonlinear, and there is significant cross-coupling between their control variables. As a result, control of twin rotor systems is challenging and receiving great interest from a control engineering community. This paper presents a review of different control algorithms that have been published for control of a twin rotor MIMO system (TRMS) and a twin rotor aerodynamical system (TRAS). These control algorithms have been implemented through simulation using the systems’ dynamic models and/or experiments on laboratory test beds. Initially, a brief review on an open loop control approach is given, and subsequently, a detailed review of closed-loop control approaches is presented.

Keywords

Control algorithms; Review; Twin rotor aerodynamical system (TRAS); Twin rotor MIMO system (TRMS).

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References

Feedback Company, TRMS 33-220, 3-000M5, East Sussex, UK: User Manual, 1998.

Inteco, Two Rotor Aero-dynamical System, Krakow, Poland: User's Manual. 2013.

H. Logemann and R. Rebarber, The effect of small time-delays on the closed-loop stability of boundary control systems, Mathematics of Control, Signals and Systems, 9(2), 1996, 123-151.

S. M. Ahmad, A. J. Chipperfield and M. O. Tokhi, Modelling and control of a twin rotor multi-input multi-output system, Proceedings of the 2000 American Control Conference (ACC), Chicago, USA, 2000, 1720-1724.

A. O'Dwyer, Handbook of PI and PID Controller Tuning Rules. London, UK: Imperial College Press, 2003.

J. G. Ziegler and N. B. Nichols, Optimum settings for automatic controllers, Transactions ASME, 64(11), 1942, 759-768.

W. Y. Wang, T. T. Lee and H. C. Huang, Evolutionary design of PID controller for twin rotor multi-input multi-output system, Proceedings of the 4th IEEE World Congress on Intelligent Control and Automation, Shanghai, China, 2002. 913-917.

F. M. Aldebrez, M. S. Alam and M. O. Tokhi, Input-shaping with GA-tuned PID for target tracking and vibration reduction, Proceedings of the 2005 IEEE International Symposium on Intelligent Control and 13th Mediterranean Conference on Control and Automation, Limassol, Cyprus, 2005, 485-490.

C. S. Liu, L. R. Chen, B. Z. Li, S. K. Chen and Z. S. Zeng, Improvement of the twin rotor mimo system tracking and transient response using fuzzy control technology, Proceedings of the 1st IEEE Conference on Industrial Electronics and Applications, Singapore, 2006, 1-6.

A. Rahideh and M. H. Shaheed, Hybrid fuzzy-PID-based control of a twin rotor MIMO system, Proceedings of the 32nd Annual IEEE Conference on Industrial Electronics (IECON), Paris, France, 2006, 48-53.

J. G. Juang, M. T. Huang and W. K. Liu, PID control using presearched genetic algorithms for a MIMO system, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 38(5), 2008, 716-727.

J. G. Juang, R. W. Lin, and W. K. Liu, Comparison of classical control and intelligent control for a MIMO system, Applied Mathematics and Computation, 205(2), 2008, 778-791.

P. Wen and T. W. Lu, Decoupling control of a twin rotor MIMO system using robust deadbeat control technique, IET Control Theory and Applications, 2(11), 2008, 999-1007.

J. G. Juang, W. K. Liu and R. W. Lin, A hybrid intelligent controller for a twin rotor MIMO system and its hardware implementation, ISA Transactions, 50(4), 2011, 609-619.

S. F. Toha and M. O. Tokhi, PID and inverse-model-based control of a twin rotor system, Robotica, 29(6), 2011, 929-938.

B. B. Alagoz, A. Ates and C. Yeroglu, Auto-tuning of PID controller according to fractional-order reference model approximation for DC rotor control, Mechatronics, 23(7), 2013, 789-797.

S. Tang, T. S. Mahmoud and M. H. Marhaban, Intelligent-classical hybrid scheme controller for better transient response and steady state error of twin rotor MIMO system, Scientific Research and Essays, 8(20), 2013, 795-806.

C. Chi-Ming and J. Jih-Gau, Real time TRMS control using FPGA and hybrid PID controller, Proceedings of the 11th IEEE International Conference on Control and Automation (ICCA),. Gyeonggi-do, South Korea, 2011, 983-988.

S. K. Pandey and V. Laxmi, Control of twin rotor MIMO system using PID controller with derivative filter coefficient, Proceedings of the 2014 IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, India, 2014, 1-6.

X. Yang, J. Cui, D. Lao, D. Li and J. Chen, Input shaping enhanced active disturbance rejection control for a twin rotor multi-input multi-output system (TRMS), ISA Transactions, 62, 2016, 287-298.

L. M. Belmonte, R. Morales, A. Fernández-Caballero and J. A. Somolinos, A tandem active disturbance rejection control for a laboratory helicopter with variable-speed rotors, IEEE Transactions on Industrial Electronics, 63(10), 2016, 6395-6406.

S. M. Ahmad, A. J. Chipperfield and M. O. Tokhi, Dynamic modeling and optimal control of a twin rotor MIMO system, Proceedings of the 2000 IEEE National Aerospace and Electronics Conference (NAECON), Ohio, USA, 2000, 391-398.

S. K. Pandey and V. Laxmi, Optimal control of twin rotor MIMO system using LQR technique, Computational Intelligence in Data Mining-Volume 1, 31(1), 2015, 11-21.

B. Pratap, A. Agrawal and S. Purwar, Optimal control of twin rotor MIMO system using output feedback, Proceedings of the 2nd International Conference on Power, Control and Embedded Systems (ICPCES), Allahabad, India, 2012, 1-6.

A. Phillips and F. Sahin, Optimal control of a twin rotor MIMO system using LQR with integral action, Proceedings of the 2014 World Automation Congress (WAC), Hawaii, USA, 2014, 114-119.

A. Rahideh and M. H. Shaheed, Stable model predictive control for a nonlinear system, Journal of the Franklin Institute, 348(8), 2011, 1983-2004.

A. Rahideh and M. H. Shaheed, Constrained output feedback model predictive control for nonlinear systems, Control Engineering Practice, 20(4), 2012, 431-443.

A. Czajkowski and K. Patan, Model predictive control of the two rotor aero-dynamical system using state space neural networks with delays, Intelligent Systems in Technical and Medical Diagnostics, 230, 2013, 113-124.

B. U. Islam, N. Ahmed, D. L. Bhatti and S. Khan, Controller design using fuzzy logic for a twin rotor MIMO system, Proceedings of the 7th International Multi Topic Conference (INMIC), Islamabad, Pakistan, 2003, 264-268.

M. Jahed and M. Farrokhi, Robust adaptive fuzzy control of twin rotor MIMO system, Soft Computing, 17(10), 2013, 1847-1860.

D. K. Saroj and I. Kar, TS fuzzy model based controller and observer design for a twin rotor MIMO system, Proceedings of the 2013 IEEE International Conference on Fuzzy Systems (FUZZ), Beijing, China, 2013, 1-8.

C. W. Tao, J. S. Taur and Y. C. Chen, Design of a parallel distributed fuzzy LQR controller for the twin rotor multi-input multi-output system, Fuzzy Sets and Systems, 161(15), 2010, 2081-2103.

C. W. Tao, J. S. Taur, Y. H. Chang and C. W. Chang, A novel fuzzy-sliding and fuzzy-integral-sliding controller for the twin-rotor multi-input multi-output system, IEEE Transactions on Fuzzy Systems, 18(5), 2010, 893-905.

A. Rahideh, A. H. Bajodah and M. H. Shaheed, Real time adaptive nonlinear model inversion control of a twin rotor MIMO system using neural networks, Engineering Applications of Artificial Intelligence, 25(6), 2012, 1289-1297.

A. Rahideh, M. H. Shaheed and A. H. Bajodah, Adaptive nonlinear model inversion control of a twin rotor system using artificial intelligence, Proceedings of the 2007 IEEE International Conference on Control Applications (CCA), Singapore, 2007, 898-903.

B. Pratap and S. Purwar, Real-time implementation of neuro adaptive observer-based robust backstepping controller for twin rotor control system, Journal of Control, Automation and Electrical Systems, 25(2), 2014, 137-150.

Z. Ding, Nonlinear and Adaptive Control Systems. London, UK: Institution of Engineering and Technology, 2013.

A. Phillips and F. A. Sahin, Comparison of chatter attenuation techniques applied to a twin rotor system, Proceedings of the 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), San Diego, USA, 2014, 3265-3271.

S. Mondal and C. Mahanta, Second order sliding mode controller for twin rotor MIMO system, Proceedings of 2011 Annual IEEE India Conference (INDICON), Hyderabad, India, 2011, 1-5.

S. Mondal and C. Mahanta, Adaptive second-order sliding mode controller for a twin rotor multi-input-multi-output system, IET Control Theory and Applications, 6(14), 2012, 2157-2167.

J. Su, C. Liang and H. Chen, Robust control of a class of nonlinear systems and its application to a twin rotor MIMO system, Proceedings of the 2002 IEEE International Conference on Industrial Technology, Bangkok, Thailand, 2002 1272-1277.

D. K. Saroj, I. Kar and V. K. Pandey, Sliding mode controller design for twin rotor MIMO system with a nonlinear state observer, Proceedings of the 2013 IEEE International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), Kerala, India, 2013, 668-673.

S. S. Butt and H. Aschemann, Multi-variable integral sliding mode control of a two degrees of freedom helicopter, IFAC-PapersOnLine, 48(1), 2015, 802-807.

R. Rashad, A. El-Badawy and A. Aboudonia, Sliding mode disturbance observer-based control of a twin rotor MIMO system, ISA Transactions, 69, 2017, 166-174.

M. Lopez-Martinez, M. C. Vivas and M. G. Ortega, A multivariable nonlinear H-infinity controller for a laboratory helicopter, Proceedings of the Joint 44th IEEE Conference on Decision and Control and 2005 European Control Conference (CDC-ECC ), Seville, Spain, 2005, 4065-4070.

M. López-Martínez, M. G. Ortega, C. Vivas and F. R. Rubio, Nonlinear L2 control of a laboratory helicopter with variable speed rotors, Automatica, 43(4), 2007, 655-661.

M. Lopez-Martinez, J. M. Diaz, M. G. Ortega and F. R. Rubio, Control of a Laboratory helicopter using switched 2-step feedback linearization, Proceedings of the 2004 American Control Conference (ACC), Boston, USA, 2004, 4330-4335.

B. Pratap and S. Purwar, State observer based robust feedback linearization controller for twin rotor MIMO system, Proceedings of the 2012 IEEE International Conference on Control Applications (CCA), Dubrovnik, Croatia, 2012, 1074-1079.

V. K. Pandey, I. Kar and C. Mahanta, Controller design for a class of nonlinear MIMO coupled system using multiple models and second level adaptation, ISA Transactions, 69, 2017, 256-272.

F. Nejjari, D. Rotondo, V. Puig and M. Innocenti, Quasi-LPV modelling and non-linear identification of a twin rotor system, Proceedings of the 20th Mediterranean Conference on Control and Automation (MED), Barcelona, Spain, 2012, 229-234.

D. Rotondo, F. Nejjari and V. Puig, Quasi-LPV modeling, identification and control of a twin rotor MIMO system, Control Engineering Practice, 21(6), 2013, 829-846.

A. Rahideh and M. H. Shaheed, Mathematical dynamic modelling of a twin-rotor multiple input-multiple output system, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 221(1), 2007, 89-101.

G. F. Franklin, J. D. Powell and M. L. A. Workman, Digital Control of Dynamic Systems, California, USA: Addison Wesley Longman, 1998.

N. S. Özbek, M. Önkol and M. Ö. Efe, Feedback control strategies for quadrotor-type aerial robots: A survey, Transactions of the Institute of Measurement and Control, 38(5), 2015, 529-554.

P. Sodhi and I. Kar, Adaptive backstepping control for a twin rotor MIMO system, IFAC Proceedings Volumes, 47(1), 2014, 740-747.

R. Rashad, A. Aboudonia and A. El-Badawy, A novel disturbance observer-based backstepping controller with command filtered compensation for a MIMO system, Journal of the Franklin Institute, 353(16), 2016, 4039-4061.

A. Haruna, Z. Mohamed, M. A. M. Basri, L. Ramli and A. Alhassan, Journal of Fundamental and Applied Sciences, 9(6S), 2017, 395-407.

A. Haruna, Z. Mohamed, M. Ö. Efe and M. A. M. Basri, Dual boundary conditional integral backstepping control of a twin rotor MIMO system, Journal of the Franklin Institute, 354, 2017, 6831-6854.

A. Haruna, Z. Mohamed, M. Ö. Efe and M. A. M. Basri, Improved integral backstepping control of variable speed motion systems with application to a laboratory helicopter, ISA Transactions, 97, 2020, 1-13.

A. Haruna, Z. Mohamed, M. Ö. Efe and A. M. Abdullahi, Improved integral backstepping Switched step integral backstepping control for nonlinear motion systems with application to a laboratory helicopter, ISA Transactions, 2023, In press.

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