Design of linear quadratic regulator controller with adjustable gain function for rotary inverted pendulum system

Design of controllers for non-linear systems has long drawn the attention of researchers especially in the fields of robotics, aerospace engineering and marine engineering. A classic example of a non-linear under-actuated control system is the balance control for a rotary inverted pendulum. Basicall...

Full description

Saved in:
Bibliographic Details
Main Author: Tang, Teng Fong
Format: Thesis
Language:English
English
Published: 2015
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/16811/1/Design%20Of%20Linear%20Quadratic%20Regulator%20Controller%20With%20Adjustable%20Gain%20Function%20For%20Rotary%20Inverted%20Pendulum%20System.pdf
http://eprints.utem.edu.my/id/eprint/16811/2/Design%20of%20linear%20quadratic%20regulator%20controller%20with%20adjustable%20gain%20function%20for%20rotary%20inverted%20pendulum%20system.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utem-ep.16811
record_format uketd_dc
institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
English
advisor Jamaludin, Zamberi

topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Tang, Teng Fong
Design of linear quadratic regulator controller with adjustable gain function for rotary inverted pendulum system
description Design of controllers for non-linear systems has long drawn the attention of researchers especially in the fields of robotics, aerospace engineering and marine engineering. A classic example of a non-linear under-actuated control system is the balance control for a rotary inverted pendulum. Basically, the control approach for such system focusses on torque control of the servo-motor for the purpose of rotating the arm and stabilising the pendulum in its upright position at the shortest possible time. The aim of this research is to supplement and further enhance the control performance of a linear quadratic regulator (LQR) controller with focus on reduced response time and degree of oscillation of the pendulum with added robustness against input disturbance applied to the pendulum position and voltage to the motor. Initially, this thesis comprehensively analysed the LQR controller parameters based on minimal balance time of the pendulum. The LQR controller by itself produced high degree of oscillations, long balance time and poor robustness against input disturbance. As an enhancement over this approach, an adjustable gain was added to the existing LQR control structure. The results showed that for a 30° balancing control, the LQR controller with adjustable gain managed to reduce as much as 70% in the balance time and 98% in the degree of oscillation, while improved its robustness by producing faster balance time and lower oscillation upon excitation by input disturbance forces. In conclusion, the LQR controller with adjustable gain has significantly improved the control performance of the rotary inverted pendulum system.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Tang, Teng Fong
author_facet Tang, Teng Fong
author_sort Tang, Teng Fong
title Design of linear quadratic regulator controller with adjustable gain function for rotary inverted pendulum system
title_short Design of linear quadratic regulator controller with adjustable gain function for rotary inverted pendulum system
title_full Design of linear quadratic regulator controller with adjustable gain function for rotary inverted pendulum system
title_fullStr Design of linear quadratic regulator controller with adjustable gain function for rotary inverted pendulum system
title_full_unstemmed Design of linear quadratic regulator controller with adjustable gain function for rotary inverted pendulum system
title_sort design of linear quadratic regulator controller with adjustable gain function for rotary inverted pendulum system
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty Of Manufacturing Engineering
publishDate 2015
url http://eprints.utem.edu.my/id/eprint/16811/1/Design%20Of%20Linear%20Quadratic%20Regulator%20Controller%20With%20Adjustable%20Gain%20Function%20For%20Rotary%20Inverted%20Pendulum%20System.pdf
http://eprints.utem.edu.my/id/eprint/16811/2/Design%20of%20linear%20quadratic%20regulator%20controller%20with%20adjustable%20gain%20function%20for%20rotary%20inverted%20pendulum%20system.pdf
_version_ 1747833894300811264
spelling my-utem-ep.168112022-09-20T12:17:01Z Design of linear quadratic regulator controller with adjustable gain function for rotary inverted pendulum system 2015 Tang, Teng Fong T Technology (General) TJ Mechanical engineering and machinery Design of controllers for non-linear systems has long drawn the attention of researchers especially in the fields of robotics, aerospace engineering and marine engineering. A classic example of a non-linear under-actuated control system is the balance control for a rotary inverted pendulum. Basically, the control approach for such system focusses on torque control of the servo-motor for the purpose of rotating the arm and stabilising the pendulum in its upright position at the shortest possible time. The aim of this research is to supplement and further enhance the control performance of a linear quadratic regulator (LQR) controller with focus on reduced response time and degree of oscillation of the pendulum with added robustness against input disturbance applied to the pendulum position and voltage to the motor. Initially, this thesis comprehensively analysed the LQR controller parameters based on minimal balance time of the pendulum. The LQR controller by itself produced high degree of oscillations, long balance time and poor robustness against input disturbance. As an enhancement over this approach, an adjustable gain was added to the existing LQR control structure. The results showed that for a 30° balancing control, the LQR controller with adjustable gain managed to reduce as much as 70% in the balance time and 98% in the degree of oscillation, while improved its robustness by producing faster balance time and lower oscillation upon excitation by input disturbance forces. In conclusion, the LQR controller with adjustable gain has significantly improved the control performance of the rotary inverted pendulum system. 2015 Thesis http://eprints.utem.edu.my/id/eprint/16811/ http://eprints.utem.edu.my/id/eprint/16811/1/Design%20Of%20Linear%20Quadratic%20Regulator%20Controller%20With%20Adjustable%20Gain%20Function%20For%20Rotary%20Inverted%20Pendulum%20System.pdf text en public http://eprints.utem.edu.my/id/eprint/16811/2/Design%20of%20linear%20quadratic%20regulator%20controller%20with%20adjustable%20gain%20function%20for%20rotary%20inverted%20pendulum%20system.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=96014 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Manufacturing Engineering Jamaludin, Zamberi 1. Abdullah, L., Jamaludin, Z., Chiew, T.H., Rafan, N.A. and Syed Mohamed, M.S., 2012. System Identification of XY Table Ballscrew Drive using Parametric and Non Parametric Frequency Domain Estimation via Deterministic Approach. International Symposium on Robotics and Intelligent Sensors (IRIS 2012), 41, pp. 567–574. 2. Acosta, J.A., 2010. Furuta’s Pendulum: A Conservative Nonlinear Model for Theory and Practise. Mathematical Problems in Engineering, 2010, pp. 1–29. 3. Ahangar-Asr, H., Teshnehlab, M., Mansouri, M. and Pazoki, A.R., 2011. A Hybrid Strategy for the Control of Rotary Inverted Pendulum. International Conference on Electrical and Control Engineering (ICECE), pp. 5656–5659. 4. Akhtaruzzaman, M. and Shafie, A.A., 2010. Modeling and Control of a Rotary Inverted Pendulum using Various Methods, Comparative Assessment and Result Analysis. In: IEEE International Conference on Mechatronics and Automation. Ieee, pp.1342–1347. 5. Akhtaruzzaman, M. and Shafie, A.A., 2011. Comparative Assessment and Result Analysis of Various Control Methods, Applied on a Rotary Inverted Pendulum, SRV 02 Series. Advances in Applied Science Research, 2(6), pp. 83–100. 6. Alt, B., Hartung, C. and Svaricek, F., 2011. Robust Fuzzy Cascade Control Revised: Application to the Rotary Inverted Pendulum. 19th Mediterranean Conference on Control and Automation, pp. 1472–1477. 7. Anonymous, 2013. Forks and Cranes. 8. Anvar, S.M.M., Hassanzadeh, I. and Alizadeh, G., 2010. Design and Implementation of Sliding Mode-State Feedback Control for Stabilization of Rotary Inverted Pendulum. International Conference on Control Automation and Systems (ICCAS), pp. 1952–1957. 9. Banrejee, A. and Nigam, M., 2011. Designing of Proportional Sliding Mode Controller for Linear One Stage Inverted Pendulum. Advances in Electrical and Electronic Engineering, 9(2), pp. 84–89. 10. Barbosa, D.I., Castillo, J.S. and Combita, L.F., 2011. Rotary Inverted Pendulum with Real Time Control. Robotics Symposium, IEEE IX Latin American and IEEE Colombian Conference on Automatic Control and Industry Applications (LARC), pp. 1–6. 11. Barya, K., Tiwari, S. and Jha, R., 2010. Comparison of LQR and Robust Controllers for Stabilizing Inverted Pendulum System. In: IEEE International Conference on Communication Control and Computing Technologies (ICCCCT). pp.300–304. 12. Boubaker, O., 2012. The Inverted Pendulum : A Fundamental Benchmark in Control Theory and Robotics. International Conference on Education and e-Learning Innovations, pp. 1–6. 13. Cazzolato, B.S. and Prime, Z., 2011. On the Dynamics of the Furuta Pendulum. Journal of Control Science and Engineering, 2011, pp. 1–8. 14. Chiew, T.H., Jamaludin, Z., Bani Hashim, A.Y., Rafan, N.A. and Abdullah, L., 2013. Identification of Friction Models for Precise Positioning System in Machine Tools. Malaysian Technical Universities Conference on Engineering & Technology (MUCET 2012), 53, pp. 569–578. 15. Ernest, P. and Horacek, P., 2011. Algorithms for Control of a Rotating Pendulum. In: Proceeding of the 19th IEEE Mediterranean Conference on Control and Automation (MED’11). 16. Fang, Z., Song, N. and Wang, L., 2009. Design and Implementation of a Novel Fuzzy Controller with DSP for Rotary Inverted Pendulum. Control and Decision Conference, 2009. CCDC ’09. Chinese, pp. 6122–6127. 17. Ferreira, A., Bejarano, F.J. and Fridman, L.M., 2011. Robust Control with Exact Uncertainties Compensation: With or without Chattering? IEEE Transactions on Control Systems Technology, 19(5), pp. 969–975. 18. Ghanavati, M., Mobayen, S. and Majd, V.J., 2011. A New Robust Model Predictive Control Strategy for Rotational Inverted Pendulum System. International Siberian Conference on Control and Communications (SIBCON), pp. 33–38. 19. Halder, K. and Patra, N., 2013. Impact of Weighting Matrices in the Design of Discrete Optimal Controller based on LQR Technique for Non-Linear System. In: International Conference on Computer Communication and Informatics (ICCCI). pp.1–6. 20. Hassanzadeh, I. and Mobayen, S., 2011. Controller Design for Rotary Inverted Pendulum System using Evolutionary Algorithms. Mathematical Problems in Engineering, 2011, pp. 1–17. 21. Hou, Y., Zhang, H. and Mei, K., 2011. Vertical-rotary inverted pendulum system based on fuzzy control. International Conference on Electrical and Control Engineering (ICECE), pp. 2804–2807. 22. Jadlovska, S. and Sarnovsky, J., 2012. A Complex Overview of the Rotary Single Inverted Pendulum System. ELEKTRO, 2012, pp. 305–310. 23. Jadlovska, S. and Sarnovsky, J., 2013. Application of the State-Dependent Riccati Equation Method in Nonlinear Control Design for Inverted Pendulum Systems. In: IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY). pp.209–214. 24. Khanesar, M.A., Teshnehlab, M. and Shoorehdeli, M.A., 2007a. Fuzzy Sliding Mode Control of Rotary Inverted Pendulum. 5th IEEE International Conference on Computational Cybernetics, pp. 57–62. 25. Khanesar, M.A., Teshnehlab, M. and Shoorehdeli, M.A., 2007b. Sliding Mode Control of Rotary Inverted Pendulm. Mediterranean Conference on Control & Automation, pp. 1–6. 26. Krishen, J. and Becerra, V., 2006. Efficient Fuzzy Control of a Rotary Inverted Pendulum Based on LQR Mapping. IEEE International Symposium on Intelligent Control, pp. 2701–2706. 27. Kumar, A., Kumar, Y. and Mitra, R., 2012a. Reduced Dimension Fuzzy Controller Design based on Fusion Function and Application in Rotary Inverted Pendulum. Third International Conference on Computing Communication & Networking Technologies (ICCCNT), pp. 1–5. 28. Kumar, P., Mehrotra, O. and Mahto, J., 2012b. Controller Design of Inverted Pendulum using Pole Placement and LQR. International Journal of Research in Engineering and Technology (IJRET), 1(4), pp. 532–538. 29. Kuo, T., Huang, Y. and Hong, B., 2009. Adaptive PID with Sliding Mode Control for the Rotary Inverted Pendulum System. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 1804–1809. 30. Kurode, S., Chalanga, A. and Bandyopadhyay, B., 2011. Swing-Up and Stabilization of Rotary Inverted Pendulum using Sliding Modes. Preprints of the 18th IFAC World Congress, pp. 10685–10690. 31. Lan, Y. and Fei, M., 2011. Design of State-feedback Controller by Pole Placement for a Coupled Set of Inverted Pendulums. 10th International Conference on Electronic Measurement & Instruments (ICEMI), pp. 69–73. 32. Li, J.-H., 2013. Composite Fuzzy Control of a Rotary Inverted Pendulum. IEEE International Symposium on Industrial Electronics, pp. 1–5. 33. Mathew, N.J., Rao, K.K. and Sivakumaran, N., 2013. Swing Up and Stabilization Control of a Rotary Inverted Pendulum. 10th IFAC International Symposium on Dynamics and Control of Process Systems, pp. 654–659. 34. Melba Mary, P. and Marimuthu, N.S., 2008. Design of Intelligent Hybrid Controller for Swing-up and Stabilization of Rotary Inverted Pendulum. ARPN Journal of Engineering and Applied Sciences, 3(4), pp. 60–70. 35. Nandakumar, M. and Nalakath, R., 2012. A Non Linear PID Fuzzy Approach to Inverted Pendulum Controller with Evolutionary Parameter Optimisation. International Conference on Power, Signals, Controls and Computation (EPSCICON), pp. 1–6. 36. Nguyen, H. and Shen, A., 2011. Using Hybrid And LQR Method Control Of A Self-Erecting Rotary Inverted Pendulum System Based On PIC 18F4431. International Journal of Computer Science and Information Technologies (IJCSIT), 2(6), pp. 2548–2553. 37. Oh, S.-K., Jung, S.-H. and Pedrycz, W., 2009. Design of Optimized Fuzzy Cascade Controllers by Means of Hierarchical Fair Competition-based Genetic Algorithms. Expert Systems with Applications, 36(9), pp. 11641–11651. 38. Oral, O., Cetin, L. and Uyar, E., 2010. A Novel Method on Selection of Q and R Matrices in the Theory of Optimal Control. International Journal of Systems Control, 1(2), pp. 84–92. 39. Ozbek, N.S. and Efe, M.O., 2010. Swing up and Stabilization Control Experiments for a Rotary Inverted Pendulum - An Educational Comparison. IEEE International Conference on Systems, Man and Cybernetics, pp. 2226–2231. 40. Pintelon, R. and Schoukens, J., 2012. System Identification: A Frequency Domain Approach – 2nd Edition. John Wiley & Sons, Inc. 41. Prasad, L.B., Tyagi, B. and Gupta, H.O., 2012. Modelling and Simulation for Optimal Control of Nonlinear Inverted Pendulum Dynamical System Using PID Controller and LQR. Sixth Asia Modelling Symposium, pp. 138–143. 42. Rudra, S., Barai, R. kumar, Maitra, M., MandaI, D., Ghosh, S., Dam, S., Dutta, A. and Bhattacharyya, P., 2012. Stabilization of Furuta Pendulum: A Backstepping based Hierarchical Sliding Mode Approach with Disturbance Estimation. 7th International Conference on Intelligent Systems and Control (ISCO), pp. 99–105. 43. Shojaei, A.A., Othman, M.F., Rahmani, R. and Rani, M.R., 2011. A Hybrid Control Scheme for a Rotational Inverted Pendulum. In: UKSim 5th European Symposium on Computer Modeling and Simulation. Ieee, pp.83–87. 44. Singh, Y., Kumar, A. and Mitra, R., 2012. Design of ANFIS Controller based on Fusion Function for Rotary Inverted Pendulum. International Conference on Advances in Power Conversion and Energy Technologies (APCET), pp. 1–5. 45. Solihin, M.I., Akmeliawati, R. and Legowo, A., 2011. Robust Controller Design for Uncertain Parametric Systems using Modern Optimization Approach. 4th International Conference On Mechatronics (ICOM), pp. 17–19. 46. Sukontanakarn, V. and Parnichkun, M., 2009. Real-time Optimal Control for Rotary Inverted Pendulum. American Journal of Applied Sciences, 6(6), pp. 1106–1115. 47. Terasoft, 2009. Electro-Mechanical Engineering Control System User’s Manual. TeraSoft, Inc. 48. Vijayalakshmi, V., Srinivasan, A. and Jenifer, Z., 2013. Real Time Pole Placement Controller Design and Implementation of a Rotary Inverted Pendulum-using LABVIEW. Industrial Science, 1(1), pp. 1–8. 49. Xue, P. and Wei, W., 2010. An Analysis on the Kinetic Model of a Rotary Inverted Pendulum, and Its Intelligent Control. In: International Conference on Computational and Information Sciences. Ieee, pp.978–981. 50. Yunhai, H., Bingfeng, X. and Ping, L. gen, 2010. A Power Control Method for Inverted Pendulum based on Fuzzy Control. International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE), pp. 16–19.