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Adaptive flight control design for nonlinear missile

机译:非线性导弹的自适应飞行控制设计

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The focus of this work is to investigate the possible benefits of modern nonlinear control design methods for missile autopilot design. The basic requirement for an autopilot is firstly fast responses because of the short amount of time involved in the end-game. A slow response could easily cause a miss if the target has the capacity to perform high-g evasive manoeuvers. Secondly, minimum error is an obvious requirement if the missile is to achieve a kill. Finally, robustness to model uncertainties is important in order for the missile to achieve its objective in the physical environment. In the first part of this paper input-output approximate linearisation pf a nonlinear missile has been studied. A method for controlling the nonlinear system that is input-output linearisable is examined that retains the order of the system in the linearisation process, hence producing a linearised system with no internal or zero dynamics. Desired tracking performance for lateral acceleration of the missile is achieved by using a nonlinear control law that has been derived by selecting the lateral velocity as the linearisation output. Simulation results are shown to exercise the final design and show that the linearisation and controller design are satisfactory. Then an adaptive nonlinear controller is designed that guarantees tracking performance when the uncertain parameters vary within a stability bound. An autopilot combining an indirect adaptive controller with approximate feedback linearisation is proposed in order to achieve asymptotic tracking. Adaptation is introduced to enhance closed-loop robustness, while approximate feedback linearisation is used to overcome the problem pf unstable zero dynamics. Computer simulations show that this approach offers a possible autopilot design for nonlinear missiles with uncertain parameters.
机译:这项工作的重点是研究现代非线性控制设计方法对导弹自动驾驶仪设计的可能益处。首先,对自动驾驶仪的基本要求是快速响应,因为在最终比赛中所花费的时间很短。如果目标具有执行高规避性机动的能力,反应迟钝很容易导致失败。其次,如果导弹要实现杀伤,则最小误差是显而易见的要求。最后,对不确定性进行建模的鲁棒性对于使导弹在物理环境中实现其目标很重要。在本文的第一部分中,研究了非线性导弹的输入输出近似线性化。研究了一种控制可输入输出线性化的非线性系统的方法,该方法在线性化过程中保留了系统的顺序,因此产生了没有内部动力学或零动力学的线性化系统。通过使用非线性控制定律来实现导弹横向加速度的所需跟踪性能,该定律是通过选择横向速度作为线性化输出而得出的。仿真结果表明可以进行最终设计,并表明线性化和控制器设计令人满意。然后设计了一种自适应非线性控制器,当不确定参数在稳定范围内变化时,该控制器可确保跟踪性能。为了实现渐近跟踪,提出了一种将间接自适应控制器与近似反馈线性化相结合的自动驾驶仪。引入自适应以增强闭环鲁棒性,同时使用近似反馈线性化来克服不稳定零动态的问题。计算机仿真表明,这种方法为参数不确定的非线性导弹提供了一种可能的自动驾驶设计。

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