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首页> 外文期刊>IEEE Transactions on Industrial Electronics >H2/H∞-Neural-Based FOPID Controller Applied for Radar-Guided Missile
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H2/H∞-Neural-Based FOPID Controller Applied for Radar-Guided Missile

机译：基于H2 /H∞-神经的FOPID控制器应用于雷达导弹

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摘要

In this paper, a neural tuning technique is proposed and applied to a fractional-order proportional-integral-derivative (FOPID) controller. The proposed controller is applied to a radar-guided missile which is used for tracking high-speed moving targets in defense systems. The proposed neural tuning along with optimization method is intended to improve the tracking performance of the proportional navigation (PN) system and the stability of the missile trajectory during flight time. Due to the coupled and nonlinear dynamics of the considered missile, we propose a new control structure that integrates the FOPID controller into the PN system of the missile which results in better stability properties for the missile. In order to tune the FOPID, we propose a neural tuning technique that starts with a genetic algorithm-based optimizer and continues with a neural network-based scheme. This speeds up finding a near-optimal solution and refining it effectively. Then, optimization process is applied within the neural tuning technique to achieve better stability and tracking performance for the missile during the whole flight time. The proposed controller is compared with the standard PID controller tuned by the conventional Ziegler-Nichols (ZN) tuning method as well as particle swarm optimization (PSO) method, and the simulation results proved the superiority of the proposed tuning method over ZN- and PSO-based tuning approaches.
机译：在本文中，提出了一种神经调谐技术并应用于分数比例 - 积分 - 积分衍生物（FoPID）控制器。所提出的控制器应用于雷达导弹，用于跟踪防御系统中的高速移动目标。提出的神经调谐以及优化方法旨在改善比例导航（PN）系统的跟踪性能以及导弹轨迹的稳定性。由于所考虑导弹的耦合和非线性动态，我们提出了一种新的控制结构，将FoPID控制器集成到导弹的PN系统中，这导致导弹的稳定性。为了调整FOPID，我们提出了一种以遗传算法的优化器开始的神经调整技术，并继续具有基于神经网络的方案。这加速了找到近最优的解决方案并有效地改进它。然后，在神经调谐技术内应用优化过程，以实现整个飞行时间的更好的导弹稳定性和跟踪性能。将所提出的控制器与传统的Ziegler-Nichols（Zn）调谐方法以及粒子群优化（PSO）方法进行调整的标准PID控制器进行比较，并且仿真结果证明了在Zn和PSO上提出的调谐方法的优势基于调整方法。

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