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Line-of-sight control involves using visual information to maneuver an unmanned aircraft. The term “line of sight” refers to the visible path of travel from the vehicle to its target area. Objects in the line of sight may include curves, a hill, a wooded area, or a large truck. When these obstacles interfere with the vehicle’s line of vision, it slows down the vehicle and causes it to change position.
Another use of line-of-sight control is for gyrostabilized platforms. It is applied to maintain pointing and tracking for a target while isolating carrier motion. The controller is a fractional-order PI (FOPI) applied to the stabilization loop of the LOS system. This controller exhibits excellent performance in nonlinearity, and is more efficient than a conventional integer-order PI. Numerical simulations demonstrate that the FOPI controller is able to improve carrier disturbance rejection by a significant amount.
Another use for line-of-sight control is to stabilize a small unmanned aerial vehicle in a gyro-stabilized platform. The aim of this stabilization is to isolate the LOS from carrier movement and maintain pointing and tracking for the target. In the present study, a fractional-order PI (FOPI) controller is applied to the stabilization loop of a LOS system. This PI is found to have good nonlinearity performance, and simulation results show that it is superior to the conventional integer-order PI.
LOS stabilization is a key component of an electro-optical imaging tracking system. The inertial platform’s speed sensor is used to isolate the LOS from the carrier’s motion. This allows the sensor to achieve accurate aiming in inertial space. The LOS stabilizer is connected to the speed sensor of the inertial platform. The control system controls the platform by adjusting the rate gyro.
The LOS stabilization control method is a common technique used in airborne UAV systems. This technique is an effective tool for maintaining LOS of an underwater vehicle in a rolling situation. The LOS stabilization control system is a vital part of an electro-optical imaging tracking system. It is also a useful tool for inertial surveillance in a submarine or in the ocean. It allows operators to observe the state of the target and ensures the accuracy of the target.
A line-of-sight stabilization technique is used in airborne vehicles. It isolates the LOS from the carrier movement and allows the vehicle to maintain a fixed pointing and tracking. In the paper, the LOS stabilization control method is a hybrid of a conventional integer-order PI and a fractional-order PI controller. The FOPI is a better solution than the conventional integer-order PI.
LOS stabilization control is essential for underwater vehicle systems. A LOS stabilization system isolates the LOS of the imaging sensor from carrier motion, ensuring accurate aiming in inertial space. The LOS stabilization controller uses a rate gyro mounted on a stabilized axis and a DC motor to move the platform to the desired guidance angle. The FPI controller also improves the carrier disturbance rejection performance.
To achieve line-of-sight stabilization, an underwater vehicle must be stabilized. This means it must be stable to keep a fixed pointing and tracking position. A gyro-stabilized platform is necessary to provide a reliable line-of-sight control. A gyro-stabilised platform will be stable and the LOS of an underwater vehicle will remain stable. This stability is crucial for safe and efficient operation of the vehicle.
In order to improve the performance of a 機能性液晶ガラス control system, a gyro-stabilized platform is necessary. The objective of this control system is to ensure accurate aiming in inertial space. A gyro-stabilized platform will help to achieve this objective. In addition to the gyro-stabilized platform, the LOS of the imaging sensor will remain stable under carrier-borne vehicles.
In the case of underwater vehicles, the gyro-stabilized platform is required. It is also essential to maintain the LOS of the underwater vehicle while navigating in a nonlinear environment. A novel guidance law for LOS stabilization is also required. The proposed algorithm applies a fractional-order PI (FOPI) controller to the LOS system. Its nonlinear behavior is analyzed and compared to the conventional integer-order PI. It is shown that the FOPI controller can significantly improve carrier disturbance rejection.
