排序方式: 共有58条查询结果,搜索用时 15 毫秒
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针对具有多模型的HAVE DASHⅡ导弹对象,利用一种结构简单的鲁棒输出反馈线性化方法,为其设计了全弹道自动驾驶仪控制系统。设计中仅需要少量的模型集信息,并不依赖于某一具体子系统,对整个模型集具有通用性。由于不再需要设计多个控制器,因此避免了常规多模型切换摔制中抖动的产生。该方法利用模型估计器实时估计系统动态特性,只要参数选得合适,能无偏差地估计出模型集中每个系统动态特性,有很强的鲁棒性。此外。还利用了高增益观测器来获取控制律中所需的导数信息,使得整个闭环系统仪需要输出量反馈,降低该方法的工程实现难度。仿真结果表明,所设计的自动驾驶仪系统能够控制模型集中所有飞行条件下的状态准确快速地到达期望值上。 相似文献
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一种鲁棒GNSS矢量跟踪环 总被引:1,自引:0,他引:1
复杂环境下导航接收机的连续可用性一直是卫星导航领域的研究重点。针对矢量跟踪环动态适应性不够和误差在通道间传播的问题,提出一种鲁棒全球导航卫星系统(GNSS)矢量跟踪环。基于各通道的伪距、伪距率和伪距加速度状态量构建扩展卡尔曼滤波器(EKF),通过灵活设置过程噪声方差阵,实现跟踪通道的耦合与解耦;采用基于极大似然估计器(MLE)的鉴别器生成码延迟和载波频率偏差观测量;利用滤波值修正并预测伪距率来控制本地数控振荡器(NCO),实现环路的闭合。仿真结果表明,本文设计的矢量跟踪环在保证环路相互辅助的基础上,避免了衰减通道误差在通道间的传播,可以对被遮挡信号保持稳定跟踪,鲁棒性优于传统矢量延迟频率锁定环。 相似文献
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一种数值鲁棒的频域最小二乘估计方法在飞机颤振模态辨识中的应用(英文) 总被引:2,自引:0,他引:2
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为了对固体火箭冲压发动机的推力进行直接控制,提出了基于PSO(粒子群优化算法)优化BP(back propagation)神经网络的固体火箭冲压发动机推力估计方法。采用SPSO(标准PSO)和三种不同的BBPSO(骨干PSO)寻优神经网络权值,而后以最优权值进行BP网络训练,对其进行精调,如此便可获取推力和燃气流量、飞行马赫数以及飞行高度之间的非线性关系,从而完成推力估计器的设计。利用240组训练集数据对网络进行训练,并用180组测试集数据对网络进行验证。仿真结果表明:在SPSO、BBExp(exploiting BBPSO)、ABPSO*(modified adaptive BBPSO)和SNPSO(simplified pruning strategy based BBPSO)等四种不同的PSO中,基于SNPSO优化BP神经网络实现推力估计器设计是最为便捷有效的方法,不仅形式简单,而且对于测试集数据而言,其能够将推力相对误差控制在5%以内。 相似文献
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《中国航空学报》2023,36(1):396-412
Surge active control can expand the stable operating range of the compressor. However, the difficulty of flow measurement, dynamic uncertainty disturbance, actuator delay characteristics, hard constraints of control variable, and system security measures have not been fully considered in the existing active control system, which significantly hinders its engineering application. Therefore, a nonlinear model predictive surge active control method is first presented based on flow estimator designed by using a continuous-time Kalman filter for dealing with the hard constraint of control variable and the impact of actuator delay of compression system with dynamic uncertainty. Then, a high-safety active/surge passive hybrid control strategy is designed, dominated by the surge active control and supplemented by the surge passive control, to ensure the compression system’s safe and stable operation. Lastly, the simulation results suggest that the flow estimator accurately estimates the compressor flow. When considering the delay impact of the actuators and sensors and measurement noise on the system, the proposed method exhibits stronger robustness than the existing methods. The active/surge passive hybrid control strategy can successfully ensure the compression system's safe and stable operation. This paper is of high practical significance for the engineering application of future compressor surge active control technologies. 相似文献
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《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2023,71(1):731-743
In this paper, the Cramér-Rao Lower Bound (CRLB) for estimating the rotation parameters of pulsars using X-ray pulsar observation data is deduced, and the calculation equation is presented. In order to verify the correctness of the deduced equation, we use the X-ray pulsar observation data to estimate pulsar rotation parameters, and obtain the root mean square error (RMSE) of the estimated pulsar rotation parameters through conducting repeated experiments. The experimental results suggest that when the observation time increases, the RMSE gradually approaches the estimated CRLB, and that when the observation time is 2.4 × 106 s, the error between the RMSE of pulsar frequency estimation and the CRLB stays at 10?11 order of magnitude. This verifies that the CRLB expression deduced in this paper is the theoretical lower bound for estimating pulsar rotation parameters. The deduced CRLB in this paper helps determine the minimum variance estimator for pulsar rotation parameter estimation using X-ray pulsar data, providing a benchmark for the comparison between the minimum variance estimator and other estimators. 相似文献