基于改进鲸鱼算法的高超声速飞行器姿态自抗扰控制OA

Aiming at the problem of active disturbance rejection control(ADRC)for hypersonic vehicle attitude affected by parameter uncertainties and internal/external disturbances,this paper proposes a method based on a Modified Improved Whale Optimization Algorithm(MIWOA)to optimize controller parameters.Firstly,an angle-of-attack control model is established for a waverider-configuration hypersonic vehicle during cruise phase,followed by the design of an ADRC-based angle-of-attack controller.Secondly,to mitigate the impact of parameter uncertainties,the MIWOA is employed to optimize parameters of the ADRC controller,effectively eliminating the blindness of manual parameter tuning.Finally,comparative simulations demonstrate that compared with conventional ADRC,the MIWOA-optimized ADRC for hypersonic vehicle attitude control not only achieves faster convergence speed but also exhibits superior disturbance rejection capabilities.