The Implementation and Lateral Control Optimization of a UAV Based on Phase Lead Compensator and Signal Constraint Controller
- 1 Department of Mechatronics Engineering, PAF Karachi Institute of Economics and Technology, Karachi, Pakistan
- 2 Department of Mechatronics Engineering, PAF Karachi Institute of Economics and Technology, Karachi, Pakistan
- 3 School of Engineering and Informatics, Sussex University, Brighton, UK
- 4 Department of Avionics Engineering, PAF Karachi Institute of Economics and Technology, Karachi, Pakistan
Abstract
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. https://doi.org/10.23919/ChiCC.2017.8027856
- 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. https://doi.org/10.1109/SSST.2001.918481
- 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. https://doi.org/10.1109/ROBIO.2009.5420545
- 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.