In this paper, the effectiveness of an Integrated Guidance and Control (IGC) scheme of a skid-to-turn missile based on Global Terminal Sliding Mode Control (SMC) and reduced order Extended State Observer (ESO) is assessed in the presence of non-sinusoidal disturbances. Several studies in literature define the disturbances as sinusoidal waves when designing IGC laws. However, the disturbances may be affected by various internal and external factors such as actuator imperfections, structural vibrations, environmental factors like wind gusts, and unpredictable interactions with other systems. Therefore, defining the disturbances as pure sinusoidal waves or sum of sinusoids may not be a realistic approach. To provide insight into the effect of observer gain and the presence of randomness in disturbances for the given IGC method, multiple simulations have been performed by determining different disturbances and different ESO gains. Considering the simulation results, random elements in sinusoidal disturbances drastically reduce the IGC law's effectiveness. The observer gains also significantly impact IGC performance, especially for the cases with random elements in disturbances, and determining the appropriate observer gains is considered to have a significant impact on IGC performance.

As UAV technology has progressed, its applications have expanded across various sectors such as Surveillance, Military, Maintenance, and Delivery. Due to their cost-effectiveness and safety in operations, UAVs have gained rapid popularity in these domains. Scenarios demanding the coordinated flight of multiple UAVs have become prevalent, leading to various formation types and control strategies tailored to specific use cases. Among these control mechanisms, Model Predictive Control (MPC) has found application in UAV formation flight. This study focuses on the development and implementation of MPC for the formation flight of fixed-wing UAVs. Experiments were conducted utilizing a setup involving three UAVs, elucidating the functionality of MPC and examining the impact of variations in the speed parameter on MPC performance.

In this study, mechanism analysis, which is one of the necessary steps for automatic function control in construction machines, is emphasized. Motor grader construction machine has been chosen because there are a minimal number of studies in the literature. The blade mechanism of the motor grader has high degrees of freedom; it can perform various rotations and orientations in the XYZ axis. For this mechanism, which is very challenging to control and make kinematic analysis, functions that specify the motion behavior of the cutting-edge points are obtained using the polynomial surface fitting method. PI controllers were created for the MIMO system to reduce the existing steady-state error. Tests were performed for various scenarios on the actual machine, and the results were compared.

In this paper, the controller is designed for a quadrotor carrying a slung load with a rope. When we consider the quadrotor and load pair, there are two cases: the quadrotor carries the load, and the load is on the ground. Since the dynamics of the system are different for these two cases, they must be considered separately. Therefore, a different PID controller is designed for each case. The necessary mechanism has been created to ensure that the transitions between these two controllers are smooth. The controller coefficients are adjusted so that the swing angles of the load are minimal. IMU has been added to the load-bearing mechanism to find out what angle the load is. Also, images of the load have been obtained with the camera located under the quadrotor. The swing angles have been calculated according to the position of the load in the image. Although our physical system studies continue, both the IMU and camera models have been created and integrated into the quadrotor-slung load model. PID coefficients have been obtained using the Particle Swarm Optimization method. Tests have been carried out on different flight profiles and the results obtained are presented.