In this article, simultaneous longitudinal and lateral flight control systems design for both passive and active morphing tactical unmanned aerial vehicles (TUAVs) is first time applied for autonomous flight performance maximization in the literature. For this purpose longitudinal and lateral dynamics modelling of TUAVs produced in Erciyes University, Faculty of Aeronautics and Astronautics, Model Aircraft Laboratory are considered in order to obtain simulation environments. Our produced TUAV is called as ZANKA-III which has weight of 50 kg, range of around 3000 km, endurance of around 28 hour, and ceiling altitude of around 12500 m. Von-Karman turbulence modelling is used in order to model atmospheric turbulence during flight in both longitudinal and lateral simulation environments. A stochastic optimization method called as simultaneous perturbation stochastic approximation (i.e. SPSA) is also first time applied in order to obtain optimum dimensions of morphing parameters (i.e. extension ratios of wingspan and tailspan, assembly positions of wing and tailplane to fuselage) and optimum magnitudes of longitudinal and lateral controllers' gains (i.e. P, I and D gains) while minimizing cost index capturing terms about both longitudinal and lateral autonomous flight performances and there exists lower and upper constraints on all optimization variables in the literature.

Abstract-In this conference article, combined passive and active morphing approach is applied on tactical unmanned aerial vehicles (TUAVs) for autonomous flight performance maximization. For this intention lateral dynamic modeling of TUAVs manufactured in Erciyes University, Faculty of Aeronautics and Astronautics, Model Aircraft Laboratory is investigated in order to obtain lateral statespace model and a simulation model. Our manufactured TUAV is named as ZANKA-III which has weight of 50 kg, range of around 3000 km, endurance of around 28 hour, and ceiling altitude of around 12500 m. Von-Karman turbulence modeling is applied in order to capture atmospheric turbulence in lateral simulation environment. A stochastic optimization method called as simultaneous perturbation stochastic approximation (i.e. SPSA) is used in order to get optimum dimensions morphing parameters (i.e. extension ratios of wingspan and tailspan, assembly positions of wing and tailplane to fuselage).

Purpose This paper aims to investigate the autonomous performance optimization of a research-based hybrid unmanned aerial vehicle (i.e. HUAV) manufactured at Iskenderun Technical University. Design/methodology/approach To maximize the autonomous performance of this HUAV, longitudinal and lateral dynamics were initially obtained. Then, the optimum magnitudes of the autopilot system parameters were estimated by considering the vehicle’s dynamic model and autopilot parameters. Findings After determining the optimum values of the longitudinal and lateral autopilots, an improved design for the autonomously controlled (AC) HUAV was achieved in terms of real-time flight. Practical implications Simultaneous improvement of the longitudinal and lateral can be used for better HUAV operations. Originality/value In this paper, the autopilot systems (i.e. longitudinal and lateral) of an HUAV are for the first time simultaneously designed in the literature. This helps the simultaneous improvement of the longitudinal and lateral flight trajectory tracking performances.

Unmanned aerial vehicles (UAVs) are air vehicles that can fly remotely or autonomously fly over a certain flight route by themselves. "Unmanned aerial vehicles", which were first produced as military vehicles and then started to be used by civilians, nowadays can easily be bought by everyone. Unmanned aerial vehicles, which can be purchased and made accessible by all, have brought legal disputes and legal regulations together with these disputes. Abuse is obvious because there is a legal vacuum in the field of unmanned aerial vehicles. Of course, it is important for Turkey to work integratedly with the fourth industrial revolution. It is necessary to work like a lucky artificial intelligence, intelligent systems without ignoring the most precious being.In this study, the development process of unmanned aerial vehicles will be examined in terms of the availability of unmanned civil aircraft in air vehicles, the use and flight conditions, the availability of law in the technological development of unmanned aerial vehicles, and the ethical problem of the production and use of these vehicles.

In this study, the design of a small unmanned aerial vehicle (UAV) and the real-time application of the flight control system and lateral state-space model were investigated. For this purpose, an UAV production was carried out, which was assembled from different locations at certain intervals to the wing and tail set body and moved back and forth before the flight. An autopilot was then used which allowed the change of P, I, D values between 1 and 100. First of all, we obtained a lateral state space model of the UAV and obtained a simulation model of Unmanned Aerial Vehicle. At the same time, the block diagram of the autopilot system was extracted and modeled in MATLAB / Simulink environment. Afterwards, SPSA developed a cost function consisting of ascent, seating time and maximum overrun, and the Unmanned Aircraft and autopilot system were redesigned simultaneously to minimize this cost function. High performance is easily observed in simulation responses and real flights.