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Active Disturbance Rejection Adaptive Control of Tank Turret-gun Control Systems

机译:坦克炮塔控制系统的主动扰动抑制自适应控制

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Aiming at parametric uncertainties and unmodeled disturbances of tank turret-gun control systems, this paper presents an adaptive control scheme via full state feedback. The basic idea of this control scheme is to combine adaptive control with extended state observer through back stepping method. The control scheme can effectively improve the stabilization accuracy of the marching tank. Based on the interaxial coupling nonlinear dynamic model of the tank turret-gun systems, an extended state observer is constructed to observe the unmodeled disturbance of the systems in real time to suppress its adverse effects and a parameter adaptive law is designed to learn and compensate the parametric uncertainties of the tank turret-gun control systems. The proposed active disturbance rejection adaptive control algorithm can simultaneously deal with the parametric uncertainties and unmodeled disturbances of the tank gun control systems. As a result, it can avoid the problem of high-gain feedback and improve the servo performance of the tank turret-gun control system. The controller theoretically has asymptotic tracking performance in the presence of parametric uncertainties and constant disturbances. In addition, prescribed transient tracking performance and final tracking accuracy can also be guaranteed when existing time-variant uncertain nonlinearities. A large number of comparative simulation results are obtained to verify the high performance nature of the proposed control strategy.
机译:针对坦克炮塔控制系统的参数不确定性和非模型性干扰,本文提出了一种基于全状态反馈的自适应控制方案。该控制方案的基本思想是通过反步方法将自适应控制与扩展状态观察器相结合。该控制方案可以有效地提高行军坦克的稳定精度。基于坦克炮塔系统的轴间耦合非线性动力学模型,构造了扩展状态观测器,以实时观察系统的非建模扰动以抑制其不利影响,并设计了一种参数自适应律来学习和补偿该系统。坦克炮塔控制系统的参数不确定性。提出的主动干扰抑制自适应控制算法可以同时处理坦克炮控制系统的参数不确定性和非建模干扰。结果,它可以避免高增益反馈的问题并提高坦克炮塔控制系统的伺服性能。在存在参数不确定性和恒定干扰的情况下,控制器理论上具有渐近跟踪性能。此外,当存在时变的不确定非线性时,也可以保证规定的瞬态跟踪性能和最终跟踪精度。获得了大量的比较仿真结果,以验证所提出的控制策略的高性能。

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