Unmanned Aero Vehicles (UAV) has become a useful entity for quite a good number of industries and facilities. It is an agile, cost effective and reliable solution for communication, defense, security, delivery, surveillance and surveying etc. However, their reliability is dependent on the resilient and stabilizes performance based on control systems embedded behind the body. Therefore, the UAV is majorly dependent upon controller design and the requirement of particular performance parameters. Nevertheless, in modern technologies there is always a room for improvement. In the similar manner a UAV lateral control system was implemented and researched in this study, which has been optimized using Proportional, Integral and Derivative (PID) controller, phase lead compensator and signal constraint controller. The significance of this study is the optimization of the existing UAV controller plant for improving lateral performance and stability. With this UAV community will benefit from designing robust controls using the optimized method utilized in this paper and moreover this will provide sophisticated control to operate in unpredictable environments. It is observed that results obtained for optimized lateral control dynamics using phase lead compensator (PLC) are efficacious than the simple PID feedback gains. However, for optimizing unwanted signals of lateral velocity, yaw rate, and yaw angle modes, PLC were integrated with PID to achieve dynamical stability.
Shao, P., Zhou, Z., Ma, S. and Bin, L. (2017) Structural Robust Gain-Scheduled PID Control and Application on a Morphing Wing UAV. Proceedings of 36th Chinese Control Conference (CCC), Dalian, China, 26-28 July 2017, 3236-3241.
Yang, S., Li, K. and Shi, J. (2009) Design and Simulation of the Longitudinal Autopilot of UAV Based on Self-Adaptive Fuzzy PID Control. Proceedings of 2009 International Conference on Computational Intelligence and Security, Beijing, China, 11-14 December 2009, 634-638. https://doi.org/10.1109/CIS.2009.253
Sujit, P., Saripalli, S. and Sousa, J.B. (2014) Unmanned Aerial Vehicle Path Following: A Survey and Analysis of Algorithms for Fixed-Wing Unmanned Aerial Vehicless. IEEE Control Systems, 34, 42-59. https://doi.org/10.1109/MCS.2013.2287568
Wahi, P., Raina, R. and Chowdhury, F.N. (2001) A Survey of Recent Work in Adaptive Flight Control. Proceedings of the 33rd Southeastern Symposium on System Theory, Athens, OH, USA, 20 March 2001, 7-11.
Tennakoon, W. and Munasinghe, S. (2008) Design and Simulation of a UAV Controller System with High Maneuverability. Proceedings of 4th International Conference on Information and Automation for Sustainability, Colombo, Sri Lanka, 12-14 December 2008, 12-14. https://doi.org/10.1109/ICIAFS.2008.4783930
Park, S., Deyst, J. and How, J.P. (2007) Performance and Lyapunov Stability of a Nonlinear Path Following Guidance Method. Journal of Guidance, Control, and Dynamics, 30, 1718-1728. https://doi.org/10.2514/1.28957
Qiu, L., Yi, J., Fan, G., Yu, W. and Yuan, R. (2010) Design of Robust Backstepping Controller for Unmanned Aerial Vehicle Using Analytical Redundancy and Extended State Observer. Proceedings of 3rd International Symposium on Systems and Control in Aeronautics and Astronautics, Harbin, China, 8-10 June 2010, 756-761.
Zhu, J.-H. (2006) A Survey of Advanced Flight Control Theory and Application. Proceedings of the Multiconference on “Computational Engineering in Systems Applications”, Beijing, China 4-6 October 2006, 655-658.
Qiu, L., Fan, G., Yi, J. and Yu, W. (2009) Design of Neural Network and Backstepping Based Adaptive Flight Controller for Multi-Effector UAV. Proceedings of 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), Guilin, China, 19-23 December 2009, 1935-1940.
Qiu, L., Fan, G., Yi, J. and Yu, W. (2009) Robust Hybrid Controller Design Based on Feedback Linearization and μ Synthesis for UAV. Proceedings of 2009 Second International Conference on Intelligent Computation Technology and Automation, Changsha, 10-11 October 2009, 858-861.
Kada, B. and Ghazzawi, Y. (2011) Robust PID Controller Design for an UAV Flight Control System. Proceedings of the World Congress on Engineering and Computer Science, San Francisco, USA, 19-21 October 2011, 19-21.
Alagoz, B.B., Ates, A. and Yeroglu, C. (2013) Auto-Tuning of PID Controller According to Fractional-Order Reference Model Approximation for DC Rotor Control. Mechatronics, 23, 789-797. https://doi.org/10.1016/j.mechatronics.2013.05.001
Sheibani, A. and Pourmina, M.A. (2012) Simulation and Analysis of the Stability of a PID Controller for Operation of Unmanned Aerial Vehicles. In: Zhang, T., Ed., Mechanical Engineering and Technology. Advances in Intelligent and Soft Computing, Springer, Berlin, Heidelberg.
Eressa, M.R., Zheng, D. and Han, M. (2016) PID and Neural Net Controller Performance Comparsion in UAV Pitch Attitude Control. Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, 9-12 October 2016, 762-767.
Ahsan, M., Shafique, K., Mansoor, A.B. and Mushtaq, M. (2013) Performance Comparison of Two Altitude-Control Algorithms for a Fixed-Wing UAV. Proceedings of 3rd IEEE International Conference on Computer, Control and Communication (IC4), Karachi, Pakistan, 25-26 September 2013, 1-5.
Adil Loya, K.M. and Duraid, M. (2018) Quantification of Aerodynamic Variables Using Analytical Technique and Computational Fluid Dynamics. Proceedings of 20th International Conference on Computational Fluid Dynamics, Barcelona, Spain, 29-30 October 2018.
Nair, M.P. and Harikumar, R. (2015) Longitudinal Dynamics Control of UAV. Proceedings of 2015 International Conference on Control Communication & Computing India (ICCC), Trivandrum, India, 19-21 November 2015, 30-35.
Rhee, I., Cho, S., Park, S. and Choi, K. (2012) Autopilot Design for a Target Drone using Rate Gyros and GPS. International Journal of Aeronautical and Space Sciences, 13, 468-473. https://doi.org/10.5139/IJASS.2012.13.4.468