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.
Highlights
In this new era, Unmanned Aerial Vehicle (UAV) is used for many applications
Unmanned Aero Vehicles (UAV) performance characteristics are determined by its flight controller mechanism, which controls the dynamics of a UAV [2]
Current study has contributed with a great zeal on the topic of modelling of stable lateral UAV control dynamics using PID, PID Signal constraining and phase lead compensator (PLC)
Summary
In this new era, Unmanned Aerial Vehicle (UAV) is used for many applications. With different applications of UAV’s, mission characteristics changes with specific requirements. Different control techniques have already been designed and implemented in UAVs flight control systems such as adaptive control, robust control, predictive control, optimal control, and intelligent control [3] [4]. It is known from studies and literature that Proportional, Integral and Derivative control approach is not new, due to its easiness for implementation in hardware and software, maintenance is less so it is preferable over other control techniques [5]. PID control algorithms are more attractive in terms of practically designing optimized controllers for UAV’s This is due to their easy modeling and simple implantation, but as well as their safe and stable performance.
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