Optimal control of an autonomous underwater vehicle using IPSO_SQP algorithm

T. Taleshian, N. Ranjbar, R. Ghaderi
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引用次数: 1

Abstract

An optimal control for an AUV (only pitch channel) based on IPSO_SQP algorithm is achieved. The control input (fin angle) is assumed to be bounded and piecewise constant. In the first stage of the optimization process by using the IPSO algorithm, the chance of converging to the global optimum is significantly increased. In the second stage, the code is switched to a SQP algorithm. This is shown improve the speed of convergence and accuracy. The combined technique gains benefits of its both original algorithms. To control an AUV a pitch programming is investigated in this paper. To track a desired pitch angle in the pitch programming problem a PID controller with optimal gain is used. The gain of PID controller is also optimized through an IPSO-SQP algorithm. Simulations show the effectiveness of the proposed controller.
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基于IPSO_SQP算法的自主水下航行器最优控制
实现了一种基于IPSO_SQP算法的纯俯仰通道AUV的最优控制。假设控制输入(鳍角)是有界且分段恒定的。在优化过程的第一阶段,IPSO算法收敛到全局最优的概率显著增加。在第二阶段,代码切换到SQP算法。这样可以提高收敛速度和精度。该组合技术具有两种原始算法的优点。本文研究了控制水下航行器的俯仰规划问题。在螺距规划问题中,为了跟踪所需的螺距角,使用了具有最优增益的PID控制器。通过IPSO-SQP算法对PID控制器的增益进行优化。仿真结果表明了该控制器的有效性。
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