مشخصات پژوهش

عنوان	An Artificial Bee Colony Based PID Controller for Depth Control of an Autonomous Underwater Vehicle
نوع پژوهش	مقاله ارائه شده کنفرانسی
کلیدواژه‌ها	Autonomous underwater vehicles , Machine learning algorithms , Oceans , Metaheuristics , Steady-state , Trajectory , Vehicle dynamics
چکیده	Depth control of an autonomous underwater vehicle (AUV) has been received tremendous attention as one of the most vital applications in ocean exploration. The unknown dynamic model, the wave, and swerve motions coupling of the AUV make the proportional integral derivative (PID) controllers and most of the other methods inefficient to solve the existing practical control problems. To cover this issue, an Artificial Bee Colony (ABC) method is applied to tune the PID parameters of depth control of an AUV control system. The proposed controller achieves the steady-state 0.1320 seconds and significantly reduces the overshoot rate. The simulations show that the effectiveness of the ABC-based control scheme is comparable to other controllers and has better performance.
پژوهشگران	کوهیار شیدا (نفر اول)، حسن بیورانی (نفر چهارم)، برمک بیگ زاده نوعی (نفر سوم)، مائده نوبری (نفر دوم)