基于微分包含的绳系卫星时间最优释放控制

考虑系绳弹性的影响,建立了绳系卫星系统三维动力学模型,研究了在状态和控制约束下的绳系卫星非线性时间最优控制问题. 为缩减系统变量,控制律设计没有采用通常的状态空间模型,而是基于二阶微分包含,将连续时间最优控制问题离散为大规模动态规化问题,最后通过数值模拟验证了该方法的有效性.      

绳系卫星在轨试验及地面物理仿真进展

通过系绳释放、运行和回收的在轨卫星称为绳系卫星. 绳系卫星功能独特, 在人工重力梯度、空间传送、电动力推进等方面应用广泛. 本文以绳系卫星为对象, 概述了全世界历年来绳系卫星的在轨飞行试验, 包括试验背景、目的、步骤以及结果等; 介绍了近年来绳系卫星的地面物理仿真实验技术, 分析了系统结构、仿真原理以及实验结果; 对未来我国空间绳系卫星技术的发展提出建议.     

三维电动力绳系子卫星轨道转移的最优控制

考虑复杂状态和控制约束的作用,研究了倾斜轨道上三维电动力绳系子卫星轨道转移的最优控制问题.借助Gauss伪谱算法,将绳系子卫星轨道转移的连续时间最优控制问题离散为大规模动态规划问题,并利用非线性规划方法进行求解.通过数值仿真计算了最优控制时间、子星最优转移轨道及最优控制张力和电流,同时讨论了轨道倾角对最优控制量的影响....     

时变自由度绳系卫星系统动力学

建立了针对无限维的黏弹性两体绳系卫星系统的时变动力学模型.当系绳释放时,卫星中系绳所对应的离散集中质量由星内移至星外,导致绳系卫星系统的自由度发生改变,成为时变的多自由度绳系卫星系统.基于改进的有限差分法,研究了判定系统自由度发生变化的方法及时变自由度绳系卫星系统动力学响应的计算方法.结果表明,所提出的计算时变自由度系统动力学响应的方法,实现了绳系卫星系统释放动力学行为的数值模拟.     

倾斜轨道电动力绳系卫星回收控制

考虑电动力影响,建立了倾斜轨道绳系卫星系统的动力学模型,研究了子星回收过程的非线性最优控制. 应用Legendre伪谱算法,将连续时间最优控制问题离散化,进而利用非线性规划方法进行求解,通过数值模拟验证了方法的有效性. 结果表明,在满足相关约束的条件下,通过调节系绳张力和电动力,可将子星回收到靠近主星的指定位置.      

考虑姿态的绳系卫星后退时域回收控制

建立了计入子星姿态运动的绳系卫星非线性动力学模型,研究了子星回收过程的非线性后退时域控制问题.将非线性后退时域控制问题伪线性化为一系列线性最优控制,并在Legendre-Gauss点离散,作为该复杂受控绳系卫星系统的数值求解策略.结果表明,通过调节系绳张力和作用于子星上的力矩,可实现子星的稳定回收,所设计的控制律对初始状态扰动、模型误差和外扰力等扰动均有良好的抑制作用.     

试论约束绳系力学

本文把封闭滑轮约束系统抽象成封闭滑动约束绳系,并研究了这种定和线系卵线轨迹的法线性质及水平切线时系统的稳衡性质;本文揭示了这种大几何尺寸特殊约束系统反力强制分配效应及其封闭自锁性,并论证了由此而引起的双系统约束多跨梁同时具有静定超静定特征的奇异特性;在应用上可分划为自由系统旋转体系和强制系统旋转体系.本文试图把这一类力学现象视为工程力学的一个内容,称为"封闭滑动约束绳系力学",简称"约束绳系力学"俗称"吊装力学".     

带有姿态的绳系航天器混沌运动实验研究

利用地面物理仿真平台研究了绳系航天器的混沌动力学行为. 首先, 根据天地动力学相似原理, 通过对卫星仿真器施加喷气力和动量轮力矩来模拟空间动力学环境, 提出了两种等效方案, 给出了它们各自适用的实验工况. 数值结果表明, 在轨绳系航天器在一定的参数条件下系绳摆动为周期或概周期运动、航天器姿态发生混沌运动. 物理仿真验证了等效方案的有效性, 揭示了绳系航天器的混沌运动特征, 表明在阻尼力矩的作用下可以避免绳系航天器混沌运动的发生.      

日地系统L_2点Halo轨道绳系卫星编队动力学

研究平动点附近周期轨道上旋转多体绳系卫星编队系统的非线性耦合动力学问题。编队系统为各卫星质量接近的轮辐状结构,位于日地系统第二平动点附近,整个系统的旋转保持系绳处于张紧状态,建立Hill限制性三体问题的绳系编队系统动力学模型。针对处于留位阶段的典型对称三星编队,在位于较大Halo轨道上无控制力作用的情况下,进行母卫星轨道运动与系绳摆动耦合运动的动力学模拟,分析轨道方向、卫星质量比、系绳长度以及初始旋转速度对编队系统整体稳定性的影响。     

单机开式复合约束绳系吊装的动点坐标与绳力的通用程序算法分析

主要介绍单机开式复合约束绳系吊装计算的通用程序算法。利用Picard迭代法建立了单机开式复合约束绳系动点坐标的通用迭代算法,以及绳力计算的通用算式,并描述了实现通用算法的关键编程技术;典型算例结果分析表明,通用程序算法是非常有效的,Picard迭代法具有重要的工程应用价值。     

A minimax optimal control strategy for partially observable uncertain quasi-Hamiltonian systems

A stochastic minimax optimal control strategy for partially observable uncertain quasi-Hamiltonian systems is proposed. First, the stochastic optimal control problem of a partially observable nonlinear uncertain quasi-Hamiltonian system is converted into that of a completely observable linear uncertain system based on a theorem due to Charalambous and Elliot. Then, the converted stochastic optimal control problem is solved by a minimax optimal control strategy based on stochastic averaging method and stochastic differential game. The worst-case disturbances and the optimal controls are obtained by solving a Hamilton-Jacobi-Isaacs (HJI) equation. As an example, the stochastic minimax optimal control of a partially observable Duffing–van der Pol oscillator with uncertain disturbances is worked out in detail to illustrate the procedure and effectiveness of the proposed control strategy.     

STOCHASTIC OPTIMAL VIBRATION CONTROL OF PARTIALLY OBSERVABLE NONLINEAR QUASI HAMILTONIAN SYSTEMS WITH ACTUATOR SATURATION

An optimal vibration control strategy for partially observable nonlinear quasi Hamiltonian systems with actuator saturation is proposed. First,a controlled partially observable non-linear system is converted into a completely observable linear control system of finite dimension based on the theorem due to Charalambous and Elliott. Then the partially averaged It stochastic differential equations and dynamical programming equation associated with the completely observable linear system are derived by using the stochastic averaging method and stochastic dynamical programming principle,respectively. The optimal control law is obtained from solving the final dynamical programming equation. The results show that the proposed control strategy has high control effectiveness and control effciency.     

A NEW STOCHASTIC OPTIMAL CONTROL STRATEGY FOR HYSTERETIC MR DAMPERS

I. INTRODUCTION Magneto-rheological (MR) ?uid as a smart material possesses fairly good essential characteristics suchas reversible change between liquid and semi-solid in milliseconds with a controllable yield strengthwhen exposed to a magnetic ?eld. A…     

Optimal bounded control for nonlinear stochastic smart structure systems based on extended Kalman filter

An optimal bounded control strategy for smart structure systems as controlled Hamiltonian systems with random excitations and noised observations is proposed. The basic dynamic equations for a smart structure system with smart sensors and actuators are firstly given. The nonlinear stochastic control system with noised observations is then obtained from the simplified smart structure system, and the system is expressed by generalized Hamiltonian equations with control, random excitation and dissipative forces. The optimal control problem for nonlinear stochastic systems with noised observations includes two parts: optimal state estimation and optimal response control based on estimated states, which are coupled each other. The probability density of optimally estimated systems has generally infinite dimensions based on the separation theorem. The proposed optimal control strategy gives an approximate separate solution. First, the optimally estimated system state is determined by the observations based on the extended Kalman filter, and the estimated nonlinear system with controls and stochastic excitations is obtained which has finite-dimensional probability density. Second, the dynamical programming equation for the estimated system is determined based on the stochastic dynamical programming principle. The control boundedness due to actuator saturation is considered, and the optimal bounded control law is obtained by the programming equation with the bounded control constraint. The optimal control depends on the estimated system state which is determined by noised observations. The proposed optimal bounded control strategy is finally applied to a single-degree-of-freedom nonlinear stochastic system with control and noised observation. The remarkable vibration control effectiveness is illustrated with numerical results. Thus the proposed optimal bounded control strategy is promising for application to nonlinear stochastic smart structure systems with noised observations.     

空间机械臂非完整运动规划的最优控制

讨论空间机械臂系统的运动规划问题，利用系统的非完整特性，将空间机械臂动力学方程转化为非线性控制系统的状态方程，给出一种最优控制的数值自满。通过仿真计算，表明该算法的有效性。     

柔性机械臂的时滞最优跟踪控制

采用最优跟踪控制方法对柔性机械臂线性化主动控制中的时滞问题进行研究。首先采用一种积分变换,将包含时滞项的动力学方程转换成形式上不包含时滞项的标准形式,然后根据最优跟踪控制理论设计控制律。在每一步控制律的计算中,不但包含有当前步的状态反馈,而且包含有前若干步控制的线性组合。文中还给出了一个模态坐标的提取方法。仿真结果显示,若对时滞不处理,控制系统会在很小时滞量时出现发散;当控制系统中的时滞量不大时,本文的线性化时滞控制设计能够取得较好的控制效果;当系统存在较大时滞量时,线性化时滞控制设计的有效范围是有限的。     

OPTIMAL TRACK SEEKING CONTROL OF DUAL-STAGE ACTUATOR FOR HIGH DENSITY HARD DISK DRIVES

Based on generalized the variation method, by introducing Hamilton function andLagrange multiplier, this paper proposed a linear quadratic optimal control strategy for an in-complete controllable system with fixed terminal state and time. Applying the proposed optimalcontrol to the simple two-input dual-stage actuator magnetic head positioning system with threedegrees-of-freedom, the simulation results show that the system has no residual vibration at theterminal position and time,which can reduce the total access time during head positioning process.To verify the validation of the optimal control strategy of three degrees-of-freedom spring-massmodels in actual magnetic head positioning of hard disk drives, a finite element model of an actualmagnetic head positioning system is presented. Substituting the optimal control force from simplethree degrees-of-freedom spring-mass models into the finite element model, the simulation resultsshow that the magnetic head also has no residual vibration at the end of track-to-track travel.That is to say, the linear quadratic optimal control technique based on simple two-input dual-stage actuator system with three degrees-of-freedom proposed in this paper is of high reliabilityfor the industrial application of an actual magnetic head positioning system.     

Control strategy of optimal deployment for spacecraft solar array system with initial state uncertainty

A control strategy combining feedforward control and feedback control is presented for the optimal deployment of a spacecraft solar array system with the initial state uncertainty. A dynamic equation of the spacecraft solar array system is established under the assumption that the initial linear momentum and angular momentum of the system are zero. In the design of feedforward control, the dissipation energy of each revolute joint is selected as the performance index of the system. A Legendre pseudospectral method (LPM) is used to transform the optimal control problem into a nonlinear programming problem. Then, a sequential quadratic programming algorithm is used to solve the nonlinear programming problem and offline generate the optimal reference trajectory of the system. In the design of feedback control, the dynamic equation is linearized along the reference trajectory in the presence of initial state errors. A trajectory tracking problem is converted to a two-point boundary value problem based on Pontryagin’s minimum principle. The LPM is used to discretize the two-point boundary value problem and transform it into a set of linear algebraic equations which can be easily calculated. Then, the closed-loop state feedback control law is designed based on the resulting optimal feedback control and achieves good performance in real time. Numerical simulations demonstrate the feasibility and effectiveness of the proposed control strategy.     

Optimal reorientation of underactuated spacecraft using genetic algorithm with wavelet approximation

The optimal attitude control of an underactuated spacecraft is investigated in this paper. The flywheels of the spacecraft can somehow only provide control inputs in two independent directions. The dynamic equations are formulated for the spacecraft under a nonholonomic constraint resulting from the constant time-rate of the total angular momentum of the system. The reorientation of such underactuated spacecraft is transformed into an optimal control problem. A genetic algorithm is proposed to derive the control laws of the two flywheels angle velocity inputs. The control laws are approximated by the discrete orthogonal wavelets. The numerical simulations indicate that the genetic algorithm with the wavelet approximation is an effective approach to deal with the optimal reorientation of underactuated spacecraft.     

THEORY AND METHOD OF OPTIMAL CONTROL SOLUTION TODYNAMIC SYSTEM PARAMETERS IDENTIFICATION (Ⅰ)──FUNDAMENTAL CONCEPT AND DETERMINISTIC SYSTEM PARAMETERS IDENTIFICATION

IntroductionDynamicsystemidentificationistheinverseproblemofdynamics.Throughtheuseofexperimentaloroperahonalinput-outputdata,modelofdynaITilcsystemcanbeestablishedbysystemidentificationtechnique,andundetCndnedparametersofmodelcanalsobeidenhfied.Ingeneral,dynamicequahonsofsystemareknownPrior,whilesystemidentificahonisjustanundetendnedparametersidentificationproblem.TheseparametersaremodalparameterssuchasfrequenciesandmodeshapesorstrUctUralparameterssuchasdampingandstiffness.T'hisisatypical"g…