Acceleration tracking control for a spinning glide guided projectile with multiple disturbances

A novel acceleration tracking controller is proposed in this paper, for a Spinning Glide Guided Projectile (SGGP) subject to cross-coupling dynamics, external disturbances, and parametric uncertainties. The cross-coupled dynamics for the SGGP are formulated with mismatched and matched uncertainties, and then divided into acceleration and angular rate subsystems via the hierarchical principle. By exploiting the structural property of the SGGP, model-assisted Extended State Observers (ESOs) are designed to estimate online the lumped disturbances in the acceleration and angular rate dynamics. To achieve a rapid response and a strong robustness, integral sliding mode control laws and sigmoid-function-based tracking differentiators are integrated into the ESO-based Trajectory Linearization Control (TLC) framework. It is proven that the acceleration tracking controller can guarantee the ultimate boundedness of the signals in the closed-loop system and make the tracking errors arbitrarily small. The superiority and effectiveness of the proposed control scheme in its decoupling ability, accurate acceleration tracking performance and anti-disturbance capability are validated through comparisons and extensive simulations.     

Improved robust Kalman filter for state model errors in GNSS-PPP/MEMS-IMU double state integrated navigation

The integration of Global Navigation Satellite System (GNSS) with Inertial Navigation Systems (INS) has been actively researched and widely applied as it can provide reliable positioning information continuously. In recent years, Micro Electro Mechanical Systems (MEMS) technology achieves rapid development and Micro Electro Mechanical Systems and Inertial Measurement Unit (MEMS-IMU) has aroused wide concern due to its excellent properties in some cases. However, the observations from MEMS-IMU are easy to be influenced by motion state and location environment because of its manufacturing process. It is not easy to judge whether gross errors are in the state model or the observation model by the widely adopted robust filter based on innovation. In this contribution, we present an improved robust filter with a double state model on the basis of the chi-square distribution of the square of the Mahalanobis distance. The vehicle motion model acts as the external constraint information and can be adopted to construct robust statistic with the results from INS mechanization. And then a robust factor was determined to adjust the observation noise covariance matrix. To evaluate the performance of this method, the simulation test and the field test based on locomotive platform of Nottingham Geospatial Institute (NGI) were carried out. According to the results, in the simulation test, the position improvements are 33%, 30% in the north and east directions; in the real test, the loosely and tightly coupled was adopted and the position accuracy can be improved by about 50–60% in the horizontal direction and the improvement of the pitch and the roll accuracy was lower than the azimuth accuracy due to poor observability and experimental scene which is of the characteristics of small elevation change. Therefore, the proposed robust filter could diminish the effect of the gross error from MEMS-IMU and enhance the integrated system.     

基于通道校准和HMM的机载雷达健康状态评估

性能退化与间歇故障是机载雷达健康状态的重要反映。针对传统机载雷达健康评估方法缺乏整机级的监测指标、未能综合考虑性能退化和间歇故障，传统BIT电路难以监测间歇故障等工程难题，提出了基于通道校准链路，综合运用通道校准仿真技术、正态云、HMM建立起健康状态评估流程。首先，对通道误差与间歇故障进行分析，得到4类校正系数，建立误差与间歇故障注入仿真流程；然后，基于正态云，利用校正系数的样本方差来表征雷达系统的健康状态，提出统一健康模型，并给出HMM拓扑结构与参数设计方法；最后，建立起基于数据驱动的评估流程并开展应用研究。仿真实验验证了误差和间歇故障仿真流程的可行性、健康状态评估方法的有效性，可获得大于95%的评估准确率；应用案例表明所提方法可行，能解决工程上机载雷达健康状态评估的问题。     

Adaptive distributed observer design for containment control of heterogeneous discrete-time swarm systems

This paper develops both adaptive distributed dynamic state feedback control law and adaptive distributed measurement output feedback control law for heterogeneous discrete-time swarm systems with multiple leaders. The convex hull formed by the leaders and the system matrix of leaders is estimated via an adaptive distributed containment observer. Such estimations will feed the followers so that every follower can update the system matrix of the corresponding adaptive distributed containment observer and the system state of their neighbors. The followers cooperate with each other to achieve leader–follower consensus and thus solve the containment control problem over the network. Numerical results demonstrate the effectiveness and computational feasibility of the proposed control laws.     

应用跟踪微分器的高超声速飞行器的反演控制

针对存在参数摄动和外部干扰等不确定性的高超声速飞行器模型，提出一种基于新型跟踪微分器的鲁棒反演控制方法。利用正切sigmoid函数和终端吸引子函数设计跟踪微分器，通过扫频测试得到了参数整定规则，并进行了对比仿真试验。在此基础上，构造一种非线性干扰观测器对模型的不确定项进行估计，增强了控制器的鲁棒性；并利用所设计的跟踪微分器对虚拟控制量进行滤波处理，解决了传统反演控制的“微分项膨胀”问题。最后，通过仿真校验了所设计控制器的有效性。     

Observer-based control for the platform of a tethered space robot

This paper addresses the attitude control problem of a space tethered robot platform in the presence of unknown external disturbance caused by a connecting elastic tether. The tether-generated unknown disturbance leads to tremendous challenges for attitude control of the platform. In this work, the perturbed attitude dynamics of the platform are derived with a consideration of the libration of the elastic tether, and then with the purpose of compensating the unknown disturbance, major attention is dedicated to develop a nonlinear disturbance observer based on gyros measurements, after which, an adaptive attitude scheme is proposed by combining the disturbance observer with a sliding mode controller. Finally, benefits from the observer based on an adaptive controller are validated by series of numerical simulations.     

基于多项式级数法的线性时变系统的结构分析

采用多项式级数变换法对时变线性系统的结构性质,主要是能观性、能控性进行了初步研究。对于多项式展开后得到的近似系统－ｍ级数值模型,给出了相应的不能观、能观、能控的定义及状态转移系数阵的概念;并且得到了在这种定义下,近似系统在某点的可观性、可控性和原时变系统在这点可观性、可控性之间的关系,从而说明进一步运用多项式展开后的系数阵来判别原时变线性系统的能观性、能控性以及其它结构性质的研究是很有可能的。     

基于扩张状态观测器的小型固体火箭控制系统设计与验证

以自研小型固体火箭为对象,基于扩张状态观测器,对三通道姿态控制器进行了设计及验证。建立了以攻角、侧滑角和滚转角为控制目标的积分链状态空间模型;结合扩张状态观测器,应用极点配置法对三通道姿态控制器进行了鲁棒设计;通过数值仿真和半实物仿真,结合拉偏分析,对控制器设计进行校核,证明了设计的有效性和鲁棒性;通过飞行试验验证了控制器性能,跟踪结果符合仿真分析,基本无延时、无静差,证明了该方法的可行性和工程应用价值。     

空间连续型机器人位姿与构型的能量整形控制

针对空间连续型机器人(SCR)位置和姿态机动、连续型机械臂变形控制以及系统受到外界干扰的问题,基于连接与阻尼配置-无源性控制(IDA PBC)方法设计了控制器。通过能量整形得到空间连续型机器人期望的能量函数,再对系统注入阻尼使其渐近稳定。利用非线性干扰观测器估计系统受到的干扰,并对外界干扰进行补偿。仿真结果表明：设计的控制器可以使空间连续型机器人机动到指定的位置和姿态,同时控制连续型机械臂变形为期望的构型,并且具有主动抗干扰的能力。通过选择合适的能量整形系数和阻尼注入系数,可使系统以期望的动态性能到达指定的平衡点。     

基于误差修正的直接力／气动力双层姿态控制设计

针对直接力／气动力复合姿态控制问题,将具有扩张观测器的动态逆控制与最优控制相结合,设计了一种基于误差修正的直接力／气动力复合控制双层姿态控制方法。该控制方法以气动力控制为主,将滑模变结构控制与动态逆控制相结合进行气动力控制,通过引入扩展观测器对控制系统中的不确定干扰进行估计与补偿,以提高控制系统的鲁棒性;在此基础上,基于最优控制方法进行直接力控制设计以实现跟踪误差快速修正,达到提高系统响应速度的目的。与气动力单独控制的仿真结果对比表明,该复合控制算法能够有效改善系统的动态响应特性。