Design of a Linear Quadratic Regulator Based on Genetic Model Reference Adaptive Control

[1] P. Jain and M. J. Nigam, “Design of a Model Reference Adaptive Controller Using Modified MIT Rule for a Second Order System,” vol. 3, no. 4,2013, pp. 477–484. Search in Google Scholar

[2] M. Mohan and P. CP, “A model reference adaptive pi controller for the speed control of three phase induction motor” International Journal of Engineering Research and, vol. V5, no. 07, 2016. Search in Google Scholar

[3] X.-J. Liu, F. Lara-Rosano, and C. W. Chan, “Model-reference adaptive control based on Neurofuzzy Networks,” IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 34, no. 3, 2004, pp. 302–309. Search in Google Scholar

[4] S. Kersting and M. Buss, “Direct and indirect model reference adaptive control for multivariable piecewise affine systems,” IEEE Transactions on Automatic Control, vol. 62, no. 11, 2017, pp. 5634–5649. Search in Google Scholar

[5] A, Abdulla, I. Mohammed, and A. Jasim. “Roll control system design using auto tuning LQR technique.” International Journal of Engineering and Innovative Technology, V7, no. 01, 2017. Search in Google Scholar

[6] L. Lublin and M. Athans, “Linear quadratic regulator control,” in The Control Systems Handbook: Control System Advanced Methods, Second Edition, 2010. Search in Google Scholar

[7] Y. S Dawood, A. K Mahmood, and M. A Ibrahim, “Comparison of PID, GA and Fuzzy Logic Controllers for Cruise Control System,” Int. J. Comput. Digit. Syst., vol. 7, no. 05, 2018, pp. 311–319. Search in Google Scholar

[8] V. Dhiman, G. Singh, and M. Kumar, “Modeling and control of underactuated system using LQR controller based on GA,” in Lecture Notes in Mechanical Engineering, 2019. Search in Google Scholar

[9] A. G. Pillai, E. R. Samuel, and A. Unnikrishnan, “Analysis of optimised LQR controller using genetic algorithm for isolated power system,” in Advances in Intelligent Systems and Computing, 2019, vol. 939. Search in Google Scholar

[10] X.-S. Yang, “Genetic Algorithms,” Nature-Inspired Optim. Algorithms, pp. 91–100, Jan. 2021 Search in Google Scholar

[11] M. Rezaee and R. Fathi, “A new design for automatic ball balancer to improve its performance,” Mech. Mach. Theory, vol. 94, 2015, pp. 165–176. Search in Google Scholar

[12] E. A.Rosales, “A Ball-on-Beam Project Kit,” Proc. 22nd …, 2004. Search in Google Scholar

[13] M. Shah, R. Ali, and F. M. Malik, “Control of ball and beam with LQR control scheme using flatness based approach,” 2019 Search in Google Scholar

[14] X. Li and W. Yu, “Synchronization of ball and beam systems with neural compensation,” Int. J. Control. Autom. Syst., vol. 8, no. 3, 2010 Search in Google Scholar

[15] C. G. Bolívar-Vincenty and Beauchamp-Báez, “Modelling the Ball-and-Beam System From Newtonian Mechanics and from Lagrange Methods,” Twelfth LACCEI Lat. Am. Caribb. Conf. Eng. Technol., vol. 1, 2014. Search in Google Scholar

[16] Mr. Hrishikesh R. Shirke and Dr. Prof. Mrs. N. R. Kulkarni, “Mathematical Modeling, Simulation and Control of Ball and Beam System,” Int. J. Eng. Res., vol. V4, no. 03, Mar. 2015. Search in Google Scholar

[17] F. A. Salem “Mechatronics design of ball and beam system: education and research,” Mechatronics vol. 5, no. 4, 2015. Search in Google Scholar

[18] M. Keshmiri, A. F. Jahromi, A. Mohebbi, M. H. Amoozgar, and W. F. Xie, “Modeling and control of ball and beam system using model based Search in Google Scholar

and non-model based control approaches,” Int. J. Smart Sens. Intell. Syst., vol. 5, no. 1, 2012. Search in Google Scholar

[19] D. Colón, Y. Smiljanic Andrade, A. M. Bueno, I. Severino Diniz, and J. Manoel Balthazar. “Modeling, control and implementation of a Ball and Beam system.” In 22nd International Congress of Mechanical Engineering-COBEM. 2013. Search in Google Scholar

[20] M. Nokhbeh and D. Khashabi, “Modelling and Control of Ball-Plate System,” Math. Model., 2011. Search in Google Scholar

[21] K. B. Pathak Scholar, “MRAC BASED DC SERVO MOTOR MOTION CONTROL,” Int. J. Adv. Res. Eng. Technol., vol. 7, no. 2, 2016. Search in Google Scholar

[22] S. A. Kochummen, N. E. Jaffar, and A. Nasar, “Model Reference Adaptive Controller designs of steam turbine speed based on MIT Rule,” 2016. Search in Google Scholar

[23] M. Swathi and P. Ramesh, “Modeling and analysis of model reference adaptive control by using MIT and modified MIT rule for speed control of DC motor,” 2017. Search in Google Scholar

[24] W. Alharbi and B. Gomm, “Genetic Algorithm Optimisation of PID Controllers for a Multivariable Process,” Int. J. Recent Contrib. from Eng. Sci. IT, vol. 5, no. 1, 2017. Search in Google Scholar

[25] N. Razmjooy, M. Ramezani, and A. Namadchian, “A new LQR optimal control for a single-link flexible joint robot manipulator based on grey wolf optimizer,” Majlesi J. Electr. Eng., vol. 10, no. 3, 2016. Search in Google Scholar

[26] A. Mahmood, M.Almaged, and A. Abdulla. “Antenna azimuth position control using fractional order PID controller based on genetic algorithm.” In IOP Conference Series: Materials Science and Engineering, vol. 1152, no. 1, p. 012016. IOP Publishing, 2021. Search in Google Scholar

[27] A. Mahmood, A. Abdulla, and I. Mohammed, “Helicopter Stabilization Using Integer and Fractional Order PID Controller Based on Genetic Algorithm,” 2020. Search in Google Scholar

[28] P. Shen, “LQR control of double inverted-pendulum based on genetic algorithm.” In 2011 9th World Congress on Intelligent Control and Automation, pp. 386-389. IEEE, 2011. Search in Google Scholar