基于自适应模糊系统的空天飞行器非线性预测控制

 针对一类多输入多输出非线性不确定系统，提出了基于自适应模糊系统的非线性预测控制方法。控制器由基于模糊系统的非线性预测控制器和鲁棒自适应控制器两个部分组成。根据系统的跟踪误差在线调整模糊系统的权值，使得模糊系统一致逼近被控对象中的非线性函数，通过泰勒展开设计出基于模糊系统的非线性预测控制律，避免了预测控制在线优化带来的繁重的计算负担。鲁棒自适应控制器则用于减少不确定和模糊逼近误差对系统的影响。所设计的控制器保证了闭环系统的最终一致有界稳定。基于Lyapunov稳定原理，给出了理论证明和分析。最后利用提出的控制方案设计了空天飞行器高超声速飞行姿态的控制系统，仿真结果表明了控制方案的有效性。     

精密转台系统非线性动态自适应控制器设计

提出了一种用于精密转台平滑鲁棒自适应控制器。通过基于σ改进方案的自适应律估计得到未知摩擦参数和非线性项的常值上界,并且利用一种平滑预测算法来改进用于估计不可测摩擦状态的双观测器。为了抑制不确定非线性项,加入了无抖振滑模控制项。通过Lyapunov方法证明了系统的位置跟踪误差是一致最终有界的。仿真研究表明了该控制方案的有效性。     

飞机纵向非线性系统的鲁棒输出跟踪控制器设计

 研究了单输入单输出非线性不确定系统的鲁棒输出跟踪控制。在标称系统可输入/输出线性化、不确定性项有界且满足广义匹配条件的情况下，可得到系统的高增益鲁棒输出跟踪控制器。鲁棒控制器仅依赖于设计参数和不确定性的界。将该方法应用于飞机纵向高阶非线性动态的控制器设计，并进行了数字仿真。结果表明了该方法的有效性。     

超低空空投航迹倾角自适应跟踪控制

针对超低空空投下滑阶段考虑执行器输入死区、不确定性大气扰动以及模型存在未知非线性等因素干扰轨迹精确跟踪等问题,提出了一种自适应神经网络动态面跟踪控制方法.建立了含执行器输入死区的超低空空投载机纵向非线性模型,采用神经网络逼近模型中未知非线性函数,引入非线性鲁棒补偿项消除了执行器死区建模误差和外界扰动.应用Lyapunov稳定性理论证明了闭环系统所有信号均是有界收敛的.仿真验证表明,所提方法既保证了轨迹跟踪的精确性,又具有强鲁棒性.     

一类非仿射输入和不确定性系统的输出跟踪控制

针对一类具有非仿射输入和不确定性的混沌系统,提出了鲁棒自适应RBFNN反演控制。RBF神经网络用来逼近设计过程中所有的未知非线性函数,并且对逼近的误差设计了鲁棒项,设计的自适应律是针对RBF所有权值的上界而不是权值本身,因而在线自适应参数数量减少了,节约了计算时间。该方法保证了混沌系统的输出能跟踪任意参考信号,并且跟踪误差是一致渐进收敛的。仿真结果表明该方法的可行性和有效性。     

基于T-S模糊系统的空天飞行器鲁棒自适应轨迹线性化控制

 基于T-S模糊系统提出了鲁棒自适应轨迹线性化控制(RATLC)方法。利用T-S模糊系统逼近未知干扰和不确定性因素，并采用Lyapunov方法设计了鲁棒自适应控制律。不论系统状态的维数和用于逼近不确定的模糊系统规则数为多少，整个系统仅有两个参数在线调整。理论分析证明了闭环系统所有信号一致最终有界。应用提出的控制方案设计了空天飞行器(ASV)飞行控制系统，并在高超声速飞行条件下进行了仿真验证，仿真结果表明了控制方案的有效性和鲁棒性。     

基于鲁棒故障观测器的非线性离散系统容错控制设计

针对存在执行器故障以及未知干扰的非线性离散系统,提出了一种鲁棒故障估计与容错控制方法。首先在未知系统干扰作用下,设计鲁棒故障观测器实现系统状态和执行器故障的同步估计;然后根据鲁棒故障观测器得到的系统状态估计和故障估计信息设计容错控制器,进行状态反馈容错控制,同时基于D稳定与H_∞控制理论对鲁棒故障观测器和容错控制器进行设计,实现了多约束条件下的故障估计与容错控制;最后用飞行控制系统模型验证了所提方法的有效性。     

一类不确定非线性系统的鲁棒自适应设计

讨论了一类含有广义不确定性的非线性系统的自适应跟踪问题。通过引入一种新颖的鲁棒函数,有效地抑制了系统不确定性对系统的影响,并利用反演设计技术设计了控制器,避免了系统控制矩阵未知时控制器可能出现的奇异问题,证明了系统的状态跟踪误差和参数误差指数收敛于原点的一个邻域。     

加速度计组合件高精度两级鲁棒温度控制

 将存在多个工作环境的加速度计组合件两级温度控制系统的受控对象描述为存在有界干扰和非线性不确定性(包括系统的建模误差和两个控制通道间的相互耦合)的两输入两输出非线性时变不确定系统，提出了一种基于信号补偿的鲁棒温度控制方法。该方法设计的控制器由标称控制器和鲁棒补偿器组成。此控制器为线性定常的，易于物理实现。证明了闭环系统的鲁棒控制特性，实验结果显示所设计的控制系统能够在多个工作环境下实现加速度计组合件内部和外部的高精度鲁棒温度控制。     

简化的鲁棒自适应模糊动态面控制及其应用

 针对不确定严格反馈块控非线性系统，提出了一种简化的鲁棒自适应模糊动态面控制方法。利用T S模糊系统在线逼近系统的不确定及外界干扰，简化自适应参数调整方法，解决了动态面控制自适应参数过多的问题。基于Lyapunov方法及小增益理论证明了闭环系统半全局一致最终有界。该方法设计的控制器复杂性低且具有最少的在线调整自适应参数，易于工程实现。最后对所提出的方法进行了某推力矢量战斗机的Herbst机动仿真，结果表明了方法的有效性。     

空天飞行器的鲁棒自适应模糊轨迹线性化控制

提出了鲁棒自适应模糊轨迹线性化控制(RAFTLC)方法并应用于空天飞行器(ASV)飞行控制系统设计.根据系统的先验知识,设计出标称模糊系统对系统的未知干扰和不确定进行估计,并通过鲁棒自适应控制项来克服标称模糊系统逼近误差和权值误差的影响.标称模糊系统逼近误差和权值误差的界在线调整.采用Lyapunov方法证明了闭环系统的所有信号一致最终有界.最后利用提出的控制方案设计了ASV飞行控制系统,并在高超声速条件下进行了仿真验证.仿真结果表明了控制方案的有效性和鲁棒性.     

Attitude tracking control for variable structure near space vehicles based on switched nonlinear systems

An adaptive robust attitude tracking control law based on switched nonlinear systems is presented for a variable structure near space vehicle (VSNSV) in the presence of uncertainties and disturbances. The adaptive fuzzy systems are employed for approximating unknown functions in the flight dynamic model and their parameters are updated online. To improve the flight robust performance, robust controllers with adaptive gains are designed to compensate for the approximation errors and thus they have less design conservation. Moreover, a systematic procedure is developed for the synthesis of adaptive fuzzy dynamic surface control (DSC) approach. According to the common Lyapunov function theory, it is proved that all signals of the closed-loop system are uniformly ultimately bounded by the continuous controller. The simulation results demonstrate the effectiveness and robustness of the proposed control scheme.     

直连式三体绳系卫星姿态鲁棒最优跟踪控制

 针对存在参数不确定性以及外部有界干扰的直连式三体旋转绳系卫星系统姿态跟踪控制问题,提出了一种分布式鲁棒最优控制方法。该方法首先针对单体绳系卫星姿态模型,在不考虑参数不确定性和干扰的条件下,应用Hamilton-Jacobi-Bellman方程设计了最优控制器;接着,考虑到实际系统存在参数不确定性和干扰,采用自适应与鲁棒误差积分方法在线学习参数不确定性和有界干扰,与最优控制器结合设计了鲁棒最优控制器,使闭环系统满足了性能指标达到最小的要求,并应用Lyapunov稳定性定理证明了其闭环系统的渐近稳定性。进一步考虑到绳系卫星系统的运动同步性,将单体绳系卫星姿态控制器设计扩展至直连式三体绳系卫星姿态系统,设计了分布式鲁棒最优控制器。最后在MATLAB/Simulink平台上进行了仿真,验证了方法的可行性与有效性,表明其具有潜在的应用前景。     

基于有向图的航天器编队飞行自适应姿态协同控制

在有向通信拓扑下研究了编队航天器自适应姿态协同控制问题。针对航天器编队飞行系统中存在外部扰动和模型不确定性的情况,通过选取包含相对姿态误差和绝对姿态误差的辅助变量,提出了一种鲁棒自适应控制策略。提出了自适应律估计转动惯量矩阵和扰动上界等未知参数,并且利用Lyapunov稳定性理论分析了闭环系统的渐近稳定性。与滑模控制等传统鲁棒控制不同,所设计的鲁棒自适应控制器是连续的,更便于航天器编队飞行系统的实现。最后通过仿真验证了该控制策略能够实现高精度的编队飞行跟踪控制。     

Backstepping design of missile guidance and control based on adaptive fuzzy sliding mode control

This paper presents an integrated missile guidance and control law based on adaptive fuzzy sliding mode control. The integrated model is formulated as a block-strict-feedback nonlinear system, in which modeling errors, unmodeled nonlinearities, target maneuvers, etc. are viewed as unknown uncertainties. The adaptive nonlinear control law is designed based on backstepping and sliding mode control techniques. An adaptive fuzzy system is adopted to approximate the coupling nonlinear functions of the system, and for the uncertainties, we utilize an online-adaptive control law to estimate the unknown parameters. The stability analysis of the closed-loop system is also conducted. Simulation results show that, with the application of the adaptive fuzzy sliding mode control, small miss distances and smooth missile trajectories are achieved, and the system is robust against system uncertainties and external disturbances.     

基于多模型切换的鲁棒自适应控制器

系统参数发生跳变时,为了解决多变量系统暂态响应变差的问题,提出一种基于多模型切换的鲁棒自适应控制器。该控制器由多个鲁棒自适应控制器组成,鲁棒自适应控制器保证系统存在未建模动态时能够使自适应系统稳定运行,引入的多模型策略保证系统参数跳变时具有良好的暂态性能。仿真结果表明,所提出的多模型鲁棒自适应控制器能够加快系统的响应速度,提高系统的暂态性能。     

Adaptive fuzzy terminal sliding mode control for the free-floating space manipulator with free-swinging joint failure

Space manipulator with free-swinging joint failure simultaneously contains kinematic and dynamic coupling relationships, so it belongs to a new underactuated system. To allow the manipulator to carry on tasks, an effective robust underactuated control method for the space manipulator with free-swinging joint failure is studied in this paper. Considering the effect of model uncertainty and joint torque disturbance, a robust underactuated control system based on the Terminal Sliding Mode Controller (TSMC) is designed, but two drawbacks are discussed: (A) Robustness depraves with eliminating chattering. (B) Control parameters are difficult to be determined under unknown uncertainty and disturbance. To improve the TSMC, the adaptive fuzzy controller is introduced to estimate the real effect of unknown uncertainty and disturbance according to deviations of sliding mode and its reaching law. The estimated result is directly compensated into active joints torque. In simulation, the space manipulator with free-swinging joint executes tasks based on the TSMC and the Adaptive Fuzzy Terminal Sliding Mode Controller (AFTSMC) respectively. Same tasks can be finished with smaller joints torque and stronger robustness based on the AFTSMC. Therefore, AFTSMC can serve as an effective robust control method for the space manipulator with free-swinging joint failure under unknown model uncertainty and torque disturbance.     

Robust and adaptive actuator failure compensation designs for a rocket fairing structural-acoustic model

The actuator failure compensation problem is formulated for active vibration control of a rocket fairing structural-acoustic model with unknown actuator failures. Performance of a nominal optimal control scheme in the presence of actuator failures is studied to show the need of effective failure compensation. A robust control scheme and two adaptive control schemes are developed, which are able to ensure the closed-loop system signal boundedness in the presence of actuator failures whose failure pattern and values are unknown. The adaptive scheme for parameterizable failures ensures asymptotic stability despite failure uncertainties. Simulation results verified their failure compensation effectiveness.     

Polynomial networks based adaptive attitude tracking control for NSVs with input constraints and stochastic noises

This paper proposes a backstepping technique and Multi-dimensional Taylor Polynomial Networks (MTPN) based adaptive attitude tracking control strategy for Near Space Vehicles (NSVs) subjected to input constraints and stochastic input noises. Firstly, considering the control input has stochastic noises, and the attitude motion dynamical model of the NSVs is actually modeled as the Multi-Input Multi-Output (MIMO) stochastic nonlinear system form. Furthermore, the MTPN is used to estimate the unknown system uncertainties, and an auxiliary system is designed to compensate the influence of the saturation control input. Then, by using backstepping method and the output of the auxiliary system, a MTPN-based robust adaptive attitude control approach is proposed for the NSVs with saturation input nonlinearity, stochastic input noises, and system uncertainties. Stochastic Lyapunov stability theory is utilized to analysis the stability in the sense of probability of the entire closed-loop system. Additionally, by selecting appropriate parameters, the tracking errors will converge to a small neighborhood with a tunable radius. Finally, the numerical simulation results of the NSVs attitude motion show the satisfactory flight control performance under the proposed tracking control strategy.