CN113778047A - Complex spacecraft fault-tolerant control method considering measurement errors and comprehensive faults - Google Patents
Complex spacecraft fault-tolerant control method considering measurement errors and comprehensive faults Download PDFInfo
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Abstract
本发明涉及航天器故障诊断与容错控制,为解决综合故障影响下的航天器有限时间姿态容错控制问题。本发明,考虑测量误差及综合故障的复杂航天器容错控制方法,首先,考虑执行器乘性故障、加性故障及姿态测量误差的综合影响,建立航天器姿态跟踪误差动力学模型,并划分为姿态角子系统及角速度子系统;其次,分别针对姿态角及角速度子系统,提出有限时间自适应多变量指令滤波反步容错控制策略,实现有限时间滤波误差补偿;引入中间变量进行控制器设计,并设计自适应律实现对故障上界的有限时间估计及补偿,解决综合故障影响;此外,针对两个子系统中的未知干扰,设计一个自适应律,方便参数调参。主要应用于航天器故障诊断与容错控制场合。
The invention relates to spacecraft fault diagnosis and fault-tolerant control, and aims to solve the problem of limited-time attitude fault-tolerant control of spacecraft under the influence of comprehensive faults. The present invention provides a complex spacecraft fault-tolerant control method considering measurement errors and comprehensive faults. First, considering the comprehensive influence of actuator multiplication faults, additive faults and attitude measurement errors, a dynamic model of spacecraft attitude tracking error is established, which is divided into Attitude angle subsystem and angular velocity subsystem; secondly, for the attitude angle and angular velocity subsystems, a finite-time adaptive multi-variable command filtering backstep fault-tolerant control strategy is proposed to realize finite-time filtering error compensation; intermediate variables are introduced to design the controller, and the An adaptive law is designed to achieve finite-time estimation and compensation of the upper bound of the fault, so as to solve the comprehensive fault impact. In addition, an adaptive law is designed for the unknown disturbance in the two subsystems, which is convenient for parameter adjustment. Mainly used in spacecraft fault diagnosis and fault-tolerant control occasions.
Description
技术领域technical field
本发明涉及航天器故障诊断与容错控制技术领域,特别是一种面向综合故障影响下的复杂航天器容错控制领域。具体涉及考虑测量误差及综合故障的复杂航天器容错控制方法。The invention relates to the technical field of spacecraft fault diagnosis and fault-tolerant control, in particular to the field of complex spacecraft fault-tolerant control under the influence of comprehensive faults. Specifically, it involves a complex spacecraft fault-tolerant control method considering measurement errors and comprehensive faults.
背景技术Background technique
作为当今科学技术中发展最快的尖端技术之一,航天科技在军事领域中发挥着越来越重要的作用,如全球监视与打击、军用卫星通信服务、太空执行遂行侦察探测、摧毁军用卫星太空基地等。卫星完成组网后全天时运行,由于恶劣未知的空间环境及星上元器件的老化等原因,难以避免会发生故障,如果不及时对故障进行处理,有可能导致航天任务执行的滞后,且在战时状态,将会导致地面作战信息丢失,严重影响战场的进程。2005年美法合作发射的“托佩克斯/波塞冬”(TOPEX/Poseidon)海洋探测卫星由于星上用于保持轨道指向的俯仰反作用轮发生失效故障,导致该卫星寿命终结。美军曾指出天空和海洋是20世纪的战场,而太空将成为21世纪的战场,成为现代化战争的战略制高点。近年来,我国的航天事业取得了辉煌的成就。“神舟号”载人飞船、“嫦娥一号”工程、“北斗”导航系统,标志着我国已经在空间探测方面取得了较大的成绩。而随着航天任务复杂程度日益增加,对火箭、卫星等航天器的可靠性提出了更高的要求。因此,开展航天器故障诊断与容错控制技术研究,探讨相关方法在航天器故障诊断中的可行性,对保障航天器安全可靠的运行,减少地面工作人员的工作量及发射与运行成本,推进航天事业的健康发展具有十分重要的理论及现实意义。As one of the fastest-growing cutting-edge technologies in today's science and technology, aerospace technology is playing an increasingly important role in the military field, such as global surveillance and strike, military satellite communication services, space execution for reconnaissance and detection, and destruction of military satellite space base etc. After the satellite completes the network, it runs all day long. Due to the harsh and unknown space environment and the aging of the components on the satellite, it is inevitable that failure will occur. In the wartime state, it will lead to the loss of ground combat information, which will seriously affect the progress of the battlefield. The "TOPEX/Poseidon" ocean exploration satellite launched in 2005 by the United States and France ended its life due to the failure of the pitch reaction wheel used to maintain the orbital pointing on the satellite. The U.S. military once pointed out that the sky and the sea are the battlefields of the 20th century, and space will become the battlefield of the 21st century and the strategic commanding heights of modern warfare. In recent years, my country's aerospace industry has made brilliant achievements. The "Shenzhou" manned spacecraft, the "Chang'e-1" project, and the "Beidou" navigation system indicate that my country has made great achievements in space exploration. With the increasing complexity of space missions, higher requirements are placed on the reliability of spacecraft such as rockets and satellites. Therefore, to carry out research on spacecraft fault diagnosis and fault-tolerant control technology, to explore the feasibility of related methods in spacecraft fault diagnosis, to ensure the safe and reliable operation of spacecraft, to reduce the workload of ground staff and the cost of launch and operation, and to promote aerospace The healthy development of career has very important theoretical and practical significance.
然而,由于航天器运行环境复杂未知,且随着任务和星体结构的复杂性日益增加,模型不确定性等影响也越来越明显,在干扰及不确定影响下的航天器故障诊断与容错控制一直是航天领域研究的重点及难点问题。目前,基于观测器的故障诊断与容错控制方法应用最为广泛,通过建立残差序列,建立故障检测机制,以达到故障检测的目的。然而,基于现有理论方法进行卫星故障诊断与容错控制设计时,存在的不足主要体现在以下几个方面:(1)大部分研究学者主要单一的针对乘性或加性故障展开研究,而在实际工程中,这两种故障会同时发生,且针对综合故障影响下的航天器有限时间容错控制研究较少;(2)为解决干扰影响下的故障问题,现有手段主要利用复杂坐标变换将干扰及故障解耦,或利用未知输入成形器,这均需要较复杂的计算,难以满足星上计算资源有限的实际工程问题,且不能实现有限时间控制;(3)受复杂外界环境干扰影响及星敏本身的能力限制,难以实现对姿态及角速度的精确测量,总会存在一定的测量误差,会影响系统控制精度。因此,如何综合考虑测量误差、乘性及加性故障影响,有效处理干扰影响下的故障问题,实现航天器的有限时间容错控制是亟需解决的关键问题,对保障航天器的安全稳定飞行具有至关重要的理论意义及工程价值。However, due to the complex and unknown operating environment of the spacecraft, and with the increasing complexity of missions and star structures, the effects of model uncertainty are becoming more and more obvious. The spacecraft fault diagnosis and fault-tolerant control under the influence of interference and uncertainty It has always been the focus and difficult problem of aerospace research. At present, the observer-based fault diagnosis and fault-tolerant control method is the most widely used. By establishing the residual sequence, a fault detection mechanism is established to achieve the purpose of fault detection. However, the deficiencies in satellite fault diagnosis and fault-tolerant control design based on the existing theoretical methods are mainly reflected in the following aspects: (1) Most researchers mainly focus on multiplicative or additive faults, while in In practical engineering, these two kinds of faults will occur at the same time, and there are few studies on the finite-time fault-tolerant control of spacecraft under the influence of comprehensive faults; (2) In order to solve the problem of faults under the influence of interference, the existing methods mainly use complex coordinate transformation to Interference and fault decoupling, or the use of unknown input shapers, all require complex calculations, which are difficult to meet practical engineering problems with limited on-board computing resources, and cannot achieve limited time control; (3) Affected by complex external environment interference and Due to the limitation of Xingmin's own ability, it is difficult to achieve accurate measurement of attitude and angular velocity, and there will always be certain measurement errors, which will affect the control accuracy of the system. Therefore, how to comprehensively consider the influence of measurement error, multiplicative and additive faults, effectively deal with the fault under the influence of interference, and realize the limited-time fault-tolerant control of the spacecraft is a key problem that needs to be solved urgently. Critical theoretical significance and engineering value.
针对上述局限,在本发明研究中,综合考虑执行器乘性及加性综合故障对航天器安全飞行的影响,研究航天器容错控制策略,采用分环控制思想,将航天器系统划分为姿态角子系统及角速度子系统,分别进行自适应控制器设计,通过自适应律设计实现对故障上界的有限时间估计及补偿,进行整体闭环系统的稳定性证明,保证航天器的有限时间姿态跟踪控制,并通过仿真验证所设计容错控制策略的有效性。In view of the above limitations, in the research of the present invention, the influence of actuator multiplication and additive comprehensive faults on the safe flight of the spacecraft is comprehensively considered, and the fault-tolerant control strategy of the spacecraft is studied, and the split-loop control idea is adopted to divide the spacecraft system into attitude angles. The system and the angular velocity subsystem are designed with adaptive controllers respectively, and the finite-time estimation and compensation of the fault upper bound are realized through the adaptive law design, and the stability of the overall closed-loop system is proved to ensure the finite-time attitude tracking control of the spacecraft. And the effectiveness of the designed fault-tolerant control strategy is verified by simulation.
发明内容SUMMARY OF THE INVENTION
为克服现有技术的不足,本发明旨在提出一种解决综合故障影响下的航天器有限时间姿态容错控制问题。一方面,由于航天器任务及本身的复杂化及其非线性等特性,使得其故障诊断的难度和复杂性显著增加。另一方面,卫星在轨运行时受到空间环境的各种摄动力作用以及高温、低温、电磁干扰、空间粒子辐射等多方面的外界干扰,更增加了卫星故障诊断的复杂性。传统的故障诊断较少综合考虑空间干扰力矩及综合故障的影响,且难以实现航天器有限时间容错控制。基于此,本发明提出考虑测量误差及综合故障的复杂航天器容错控制方法,首先,考虑执行器乘性故障、加性故障及姿态测量误差的综合影响,建立航天器姿态跟踪误差动力学模型,并划分为姿态角子系统及角速度子系统;其次,分别针对姿态角及角速度子系统,提出有限时间自适应多变量指令滤波反步容错控制策略,实现有限时间滤波误差补偿;引入中间变量进行控制器设计,并设计自适应律实现对故障上界的有限时间估计及补偿,解决综合故障影响;此外,针对两个子系统中的未知干扰,设计一个自适应律,方便参数调参。In order to overcome the deficiencies of the prior art, the present invention aims to propose a method to solve the problem of limited-time attitude fault-tolerant control of spacecraft under the influence of comprehensive faults. On the one hand, due to the complexity of the spacecraft mission and its nonlinear characteristics, the difficulty and complexity of its fault diagnosis have increased significantly. On the other hand, satellites are affected by various perturbations of the space environment and various external disturbances such as high temperature, low temperature, electromagnetic interference, space particle radiation, etc., which increase the complexity of satellite fault diagnosis. The traditional fault diagnosis seldom comprehensively considers the influence of space disturbance torque and comprehensive faults, and it is difficult to realize the limited-time fault-tolerant control of spacecraft. Based on this, the present invention proposes a complex spacecraft fault-tolerant control method that considers measurement errors and comprehensive faults. First, considering the comprehensive effects of actuator multiplication faults, additive faults and attitude measurement errors, a dynamic model of spacecraft attitude tracking error is established. And it is divided into attitude angle subsystem and angular velocity subsystem; secondly, for the attitude angle and angular velocity subsystems, a finite-time adaptive multi-variable command filtering backstep fault-tolerant control strategy is proposed to realize the finite-time filtering error compensation; intermediate variables are introduced for the controller Design and design an adaptive law to achieve finite-time estimation and compensation of the fault upper bound to solve the comprehensive fault impact; in addition, an adaptive law is designed for unknown disturbances in the two subsystems to facilitate parameter adjustment.
采用MATLAB/Simulink仿真验证本发明的有效性。The effectiveness of the present invention is verified by MATLAB/Simulink simulation.
具体步骤如下:Specific steps are as follows:
第一部分,航天器面向控制模型建立:分析航天器执行机构乘性及加性综合故障及测量误差的影响,基于航天器运动学及动力学模型,建立外界干扰及综合故障影响下的复杂航天器的非线性跟踪误差运动学及动力学模型;The first part, the establishment of spacecraft-oriented control model: analyze the influence of multiplicative and additive comprehensive faults and measurement errors of spacecraft actuators, and establish complex spacecraft under the influence of external interference and comprehensive faults based on spacecraft kinematics and dynamic models The nonlinear tracking error kinematics and dynamics model of ;
第二部分,姿态角子系统控制器设计:针对姿态角子系统,设计新型的辅助信号,以补偿对虚拟角速度控制律滤波信号影响的有限时间补偿;基于辅助信号及姿态角期望指令,设计虚拟角速度控制律,以保证对姿态角期望指令的有限时间稳定跟踪控制;The second part, the design of the attitude angle subsystem controller: for the attitude angle subsystem, a new type of auxiliary signal is designed to compensate the limited time compensation for the influence of the virtual angular velocity control law filtering signal; based on the auxiliary signal and the attitude angle expectation command, the virtual angular velocity control is designed law to ensure a limited time stable tracking control for the desired command of the attitude angle;
第三部分,角速度子系统控制器设计:针对角速度子系统,为解决执行器乘性故障影响,引入中间变量进行控制器设计,加性故障则通过自适应律处理,通过对故障上界进行估计,同时有限时间处理乘性及加性故障影响,并设计自适应有限时间容错控制器,保证故障发生后航天器系统的有限时间容错控制。The third part, the design of the angular velocity subsystem controller: for the angular velocity subsystem, in order to solve the influence of the multiplicative fault of the actuator, an intermediate variable is introduced to design the controller, and the additive fault is handled by the adaptive law, and the upper bound of the fault is estimated by , and deal with the multiplicative and additive fault effects in a limited time, and design an adaptive finite-time fault-tolerant controller to ensure the limited-time fault-tolerant control of the spacecraft system after a fault occurs.
详细步骤如下:The detailed steps are as follows:
第一步,航天器面向控制模型建立,基于改进罗德里格参数(MRPs)描述的航天器运动学模型,考虑柔性振动、液体晃动影响下的航天器姿态运动学及动力学模型描述如下:The first step is to establish a spacecraft-oriented control model. Based on the spacecraft kinematics model described by the improved Rodrigue parameters (MRPs), the attitude kinematics and dynamic models of the spacecraft under the influence of flexible vibration and liquid sloshing are described as follows:
其中,p=[p1 p2 p3]T为描述航天器姿态的MRPs矢量,G(p)∈R3×3,表示为J为转动惯量,ω=[ω1 ω2 ω3]T为航天器角速度,d为未知外界干扰,u为控制力矩,χ∈RN,η∈RM分别为柔性振动模态及液体晃动模态,N,M为模态阶数。Ci,Ki(i=f,l)分别为振动模态及晃动模态的柔性矩阵及刚度矩阵,且 Cf=diag(2ξjΛj,j=1,2,…,N),其中Λj为第j阶柔性振动模态的自然频率,ξj为第j阶阻尼系数。Mη=diag(m1,m1,…,mM,mM)为晃动液体燃料的质量矩阵, mi为第i阶液体晃动模态的晃动液体质量,δf为刚柔耦合矩阵,δl为刚液耦合矩阵,表示为:Among them, p=[p 1 p 2 p 3 ] T is the MRPs vector describing the attitude of the spacecraft, G(p)∈R 3×3 , expressed as J is the moment of inertia, ω=[ω 1 ω 2 ω 3 ] T is the angular velocity of the spacecraft, d is the unknown external disturbance, u is the control torque, χ∈R N , η∈R M are the flexible vibration mode and liquid sloshing, respectively mode, where N and M are the modal order. C i ,K i (i=f,l) are the flexibility matrix and stiffness matrix of vibration mode and sway mode respectively, and C f =diag(2ξ j Λ j ,j=1,2,...,N), where Λ j is the natural frequency of the j-th flexible vibration mode, and ξ j is the j-th damping coefficient. M η =diag(m 1 ,m 1 ,...,m M ,m M ) is the mass matrix of the sloshing liquid fuel, m i is the sloshing liquid mass of the i -th liquid sloshing mode, δf is the rigid-flexible coupling matrix, δ l is the rigid-liquid coupling matrix, which is expressed as:
其中,bi为第i阶液体模态及质心之间的距离,对x×定义为:where b i is the distance between the i-th liquid mode and the centroid, and x × is defined as:
考虑外界未知环境影响及星敏感器、陀螺仪本身的测量能力限制带来的姿态角及角速度测量误差,表示为:Considering the influence of the unknown external environment and the measurement error of the attitude angle and angular velocity caused by the measurement capability limitation of the star sensor and the gyroscope itself, it is expressed as:
其中,为姿态角及角速度的测量值,v1,v2分别为姿态角及角速度的测量误差。in, are the measured values of attitude angle and angular velocity, v 1 , v 2 are the measurement errors of attitude angle and angular velocity, respectively.
对式(5)求导,并代入式(1)可得:Taking the derivative of equation (5) and substituting it into equation (1), we can get:
其中, in,
定义期望坐标系FD相对于地球惯性坐标系FI下的航天器期望姿态角为 pr=[pr1pr2 pr3]T,期望角速度为ωr=[ωr1 ωr2 ωr3]T。期望姿态角及角速度之间满足:Defining the desired attitude angle of the desired coordinate system FD relative to the earth inertial coordinate system FI is pr =[pr1 pr2 pr3] T, and the desired angular velocity is ω r = [ ω r1 ω r2 ω r3 ] T . The desired attitude angle and angular velocity satisfy:
为实现对期望姿态的有效跟踪,航天器期望坐标系FD与本体坐标系FB之间的姿态角误差及角速度误差为:In order to achieve effective tracking of the desired attitude, the attitude angle error and angular velocity error between the desired coordinate system FD of the spacecraft and the body coordinate system FB are:
其中,为FD到FB的旋转矩阵,因此,航天器姿态角及角速度跟踪误差动态表示为:in, is the rotation matrix from F D to F B. Therefore, the spacecraft attitude angle and angular velocity tracking error are dynamically expressed as:
其中, in,
乘性故障及加性故障,数学表示如下:Multiplicative faults and additive faults are mathematically expressed as follows:
ui=ρiτi+fi (10)u i =ρ i τ i +f i (10)
其中,τi,i=1,2,3为期望的控制力矩,ui为执行机构实际作用给系统的控制力矩,ρi为执行器效率因子,满足0<ρi≤1。值得注意的是ρi=1表示执行器工作正常,0<ρi<1表示执行器部分失效,但是仍然能够工作。fi为执行器漂移故障,是有界的。Among them, τ i , i=1, 2, 3 is the desired control torque, ui is the control torque that the actuator actually acts on the system, and ρ i is the actuator efficiency factor, which satisfies 0<ρ i ≤1. It is worth noting that ρ i =1 indicates that the actuator works normally, and 0<ρ i <1 indicates that the actuator partially fails, but it can still work. f i is the actuator drift fault and is bounded.
将执行器故障模型(10)代入航天器姿态跟踪误差动态(9)可得:Substituting the actuator fault model (10) into the spacecraft attitude tracking error dynamics (9), we can get:
其中,ρ=diag(ρ1,ρ2,ρ3),f=[f1,f2,f3]T。式(11)即为建立的面向控制模型,后续将基于此模型进行控制器设计:Wherein, ρ=diag(ρ 1 , ρ 2 , ρ 3 ), f=[f 1 , f 2 , f 3 ] T . Equation (11) is the established control-oriented model, and the controller will be designed based on this model in the future:
系统(11)中未知不确定δ1,δ2是有界的,但上界未知,满足:其中λ1,λ2为未知正常数,并定义未知变量λ=max(λ1,λ2);The unknown and uncertain δ 1 , δ 2 in system (11) are bounded, but the upper bound is unknown, satisfying: where λ 1 , λ 2 are unknown constants, and define the unknown variable λ=max(λ 1 ,λ 2 );
控制目标为:基于传感器测量误差及执行器故障影响下的航天器运动学及动力学模型 (11),设计自适应容错控制器τ,有效处理测量误差及执行器乘性及加性故障,保证对期望姿态指令的有限时间快速稳定跟踪控制;The control objective is to design an adaptive fault-tolerant controller τ based on the kinematics and dynamics model of the spacecraft under the influence of sensor measurement errors and actuator faults (11) to effectively handle measurement errors and actuator multiplicative and additive faults to ensure Limited time fast and stable tracking control for desired attitude commands;
第二步,姿态角子系统控制器设计,针对姿态角子系统:The second step, the controller design of the attitude angle system, for the attitude angle system:
通过将角速度ωe当作控制量,设计虚拟控制输入ωd,实现姿态角跟踪误差pe的有限时间收敛。为书写方便,定义新的变量:By taking the angular velocity ω e as a control variable, a virtual control input ω d is designed to achieve finite-time convergence of the attitude angle tracking error pe . For writing convenience, define new variables:
其中,z1为姿态角跟踪误差,为虚拟控制输入ωd经过滤波后的输出;Among them, z 1 is the attitude angle tracking error, is the filtered output of the virtual control input ω d ;
针对姿态角子系统(12),代入式(13)可得For the attitude angle system (12), substituting into equation (13) can be obtained
为了补偿指令滤波误差设计如下辅助信号ξ41:To compensate for command filter error The auxiliary signal ξ 41 is designed as follows:
其中,k1>0,l1>0,ξ2由式(22)定义,项G(pe)ξ2用于稳定性证明需要;为进行控制器设计,定义以下坐标变换:where k 1 >0, l 1 >0, ξ 2 is defined by equation (22), and the term G( pe )ξ 2 is used for stability proof needs; for controller design, the following coordinate transformations are defined:
v1=z1-ξ1,v2=z2-ξ2 (16)v 1 =z 1 -ξ 1 , v 2 =z 2 -ξ 2 (16)
对v1进行求导,并代入式(14)-式(16)得Differentiate v 1 and substitute it into equations (14)-(16) to get
角速度虚拟控制输入ωd设计为:The angular velocity virtual control input ω d is designed as:
其中,a1>0,用来处理未知干扰δ1、δ2,利用式(26) 所示的自适应进行设计;in, a 1 > 0, It is used to deal with the unknown interference δ 1 , δ 2 , and is designed using the self-adaptation shown in equation (26);
第三步,角速度子系统控制器设计,将姿态角子系统的虚拟控制输入当作角速度子系统的期望指令,基于姿态角速度完成自适应控制器设计,获得实际的控制力矩τ;The third step, the design of the angular velocity subsystem controller, the virtual control input of the attitude angle subsystem As the expected command of the angular velocity subsystem, the adaptive controller design is completed based on the attitude angular velocity, and the actual control torque τ is obtained;
针对角速度子系统:For the angular velocity subsystem:
基于角速度跟踪误差定义(13)及式(19),得角速度跟踪误差动态为:Based on the angular velocity tracking error definition (13) and equation (19), the angular velocity tracking error dynamics are:
基于v2的定义(16)及角速度跟踪误差动态(20),得:Based on the definition of v 2 (16) and the angular velocity tracking error dynamics (20), we get:
其中, in,
与姿态角子系统相同,设计辅助信号ξ2为:Same as the attitude angle system, the design auxiliary signal ξ 2 is:
其中,k2>0,l2>0。Wherein, k 2 >0, l 2 >0.
考虑到执行器乘性故障ρi及加性故障fi(i=1,2,3)是有界的,为了后续处理故障影响,定义以下新变量:Considering that the actuator multiplicative fault ρ i and additive fault f i (i=1, 2, 3) are bounded, in order to deal with the fault impact later, the following new variables are defined:
其中,θ及均为未知参数,将在后续利用自适应律及进行估计;where θ and are unknown parameters, and the adaptive law will be used in the follow-up and make an estimate;
为进行控制器设计,解决乘性故障,设计中间变量为:For controller design, to solve multiplicative faults, to design intermediate variables for:
其中,a2>0为正常数。及通过自适应律进行设计,分别用来处理未知干扰δi及漂移故障fi。in, a 2 >0 is a positive number. and The adaptive law is designed to deal with unknown disturbance δ i and drift fault f i respectively.
自适应参数及设计为:adaptive parameters and Designed to:
其中,γ>0,r>0,Γ>0,σ1,σ2,σ3>0。Wherein, γ>0, r>0, Γ>0, σ 1 , σ 2 , σ 3 >0.
真正的姿态控制器τ设计为:The real attitude controller τ is designed as:
基于以上三步,就完成了整个航天器有限时间姿态容错控制过程。Based on the above three steps, the entire spacecraft's limited-time attitude fault-tolerant control process is completed.
本发明的特点及有益效果是:The characteristics and beneficial effects of the present invention are:
所设计的分步控制算法能够保证对期望姿态角的快速收敛,收敛及控制精度高;辅助系统状态会不断变化,以在控制器设计中补偿滤波器带来的估计误差,保证控制精度;通过调整控制算法,将柔性振动及液体晃动主动抑制到零。The designed step-by-step control algorithm can ensure the rapid convergence of the desired attitude angle, and the convergence and control accuracy are high; the state of the auxiliary system will change continuously to compensate the estimation error caused by the filter in the controller design and ensure the control accuracy; Adjust the control algorithm to actively suppress the flexible vibration and liquid sloshing to zero.
附图说明:Description of drawings:
图1执行器综合故障影响下的航天器容错控制结构图。Figure 1. The structure diagram of the spacecraft fault-tolerant control under the influence of the comprehensive fault of the actuator.
图2姿态角跟踪误差曲线图。Fig. 2 Attitude angle tracking error curve.
图3姿态角速度跟踪误差曲线图。Fig. 3 Attitude angular velocity tracking error curve diagram.
图4虚拟角速度跟踪曲线图。Figure 4 is a graph of virtual angular velocity tracking.
图5微分器对虚拟角速度估计图。Figure 5. The differentiator estimates the virtual angular velocity.
图6辅助系统状态变化曲线图。Fig. 6 is a graph of state change of auxiliary system.
图7控制输入曲线图。Figure 7 Control input graph.
图8自适应参数变化曲线图。Fig. 8 is a graph of adaptive parameter change.
图9液体晃动模态变化曲线图。Fig. 9 Variation curve diagram of liquid sloshing mode.
图10柔性振动模态变化曲线图。Figure 10. Curve diagram of flexible vibration mode change.
具体实施方式Detailed ways
本发明涉及一种航天器容错控制技术领域。具体来说,首先提出了自适应有限时间容错控制器综合算法,随后通过MATLAB/Simulink仿真验证了本发明提出算法的有效性。The invention relates to the technical field of fault-tolerant control of spacecraft. Specifically, an adaptive finite-time fault-tolerant controller synthesis algorithm is firstly proposed, and then the effectiveness of the proposed algorithm is verified by MATLAB/Simulink simulation.
本发明目的在于提出一种解决综合故障影响下的航天器有限时间姿态容错控制问题。一方面,由于航天器任务及本身的复杂化及其非线性等特性,使得其故障诊断的难度和复杂性显著增加。另一方面,卫星在轨运行时受到空间环境的各种摄动力作用以及高温、低温、电磁干扰、空间粒子辐射等多方面的外界干扰,更增加了卫星故障诊断的复杂性。传统的故障诊断较少综合考虑空间干扰力矩及综合故障的影响,且难以实现航天器有限时间容错控制。基于此,本发明提出了一种基于自适应有限时间指令滤波反步的航天器有限时间容错控制方法,首先,考虑执行器乘性故障、加性故障及姿态测量误差的综合影响,建立复杂航天器姿态跟踪误差动力学模型,并划分为姿态角子系统及角速度子系统;其次,分别针对姿态角及角速度子系统,提出有限时间自适应多变量指令滤波反步容错控制策略,一方面,与传统反步控制相比,该方法通过改进的辅助信号设计,可实现有限时间滤波误差补偿;另一方面,为了处理乘性故障,引入中间变量进行控制器设计,并设计自适应律实现对故障上界的有限时间估计及补偿,有效解决综合故障影响;此外,针对两个子系统中的未知干扰,不同于传统的采用两个观测器或自适应律分别进行估计,本发明仅设计一个自适应律,方便参数调参,更适用于工程实际;最后,采用MATLAB/Simulink仿真验证本发明的有效性。本发明提出的自适应有限时间指令滤波反步容错控制方法可以有效解决执行器乘性故障及加性故障综合影响,且所设计的新型辅助信号能够在有限时间内补偿滤波误差,实现复杂航天器姿态的有限时间容错控制,有效提高航天器运行的可靠性和安全性。The purpose of the present invention is to propose a method to solve the problem of limited-time attitude fault-tolerant control of spacecraft under the influence of comprehensive faults. On the one hand, due to the complexity of the spacecraft mission and its nonlinear characteristics, the difficulty and complexity of its fault diagnosis have increased significantly. On the other hand, satellites are affected by various perturbations of the space environment and various external disturbances such as high temperature, low temperature, electromagnetic interference, space particle radiation, etc., which increase the complexity of satellite fault diagnosis. The traditional fault diagnosis seldom comprehensively considers the influence of space disturbance torque and comprehensive faults, and it is difficult to realize the limited-time fault-tolerant control of spacecraft. Based on this, the present invention proposes a finite-time fault-tolerant control method for spacecraft based on adaptive finite-time command filtering backstepping. The dynamic model of attitude tracking error of the controller is divided into attitude angle subsystem and angular velocity subsystem. Secondly, for the attitude angle and angular velocity subsystems, a finite-time adaptive multi-variable command filtering backstep fault-tolerant control strategy is proposed. Compared with backstepping control, this method can realize finite-time filtering error compensation through improved auxiliary signal design. The finite-time estimation and compensation of the bounded time limit can effectively solve the comprehensive fault impact; in addition, for the unknown interference in the two subsystems, different from the traditional estimation using two observers or adaptive laws respectively, the present invention only designs one adaptive law , which is convenient for parameter adjustment, and is more suitable for engineering practice. Finally, MATLAB/Simulink simulation is used to verify the effectiveness of the present invention. The adaptive finite-time command filtering backstep fault-tolerant control method proposed by the invention can effectively solve the combined effects of multiplicative faults and additive faults of the actuator, and the designed new auxiliary signal can compensate the filtering error in a limited time, and realize complex spacecraft. The limited time fault-tolerant control of attitude can effectively improve the reliability and safety of spacecraft operation.
本发明提出的执行器综合故障影响下的航天器容错控制算法总体技术方案如图1所示,整个系统包括三部分:航天器面向控制模型建立、姿态角子系统控制器设计、角速度子系统控制设计,具体技术方案如下:The overall technical scheme of the spacecraft fault-tolerant control algorithm under the influence of the comprehensive fault of the actuator proposed by the present invention is shown in Figure 1. The whole system includes three parts: the establishment of the spacecraft-oriented control model, the design of the attitude angle subsystem controller, and the control design of the angular velocity subsystem. , the specific technical solutions are as follows:
第一部分,航天器面向控制模型建立:分析航天器执行机构乘性及加性综合故障及测量误差的影响,基于航天器运动学及动力学模型,建立外界干扰及综合故障影响下的复杂航天器的非线性跟踪误差运动学及动力学模型。The first part, the establishment of spacecraft-oriented control model: analyze the influence of multiplicative and additive comprehensive faults and measurement errors of spacecraft actuators, and establish complex spacecraft under the influence of external interference and comprehensive faults based on spacecraft kinematics and dynamic models The nonlinear tracking error kinematics and dynamics model.
第二部分,姿态角子系统控制器设计:针对姿态角子系统,设计新型的辅助信号,以补偿对虚拟角速度控制律滤波信号影响的有限时间补偿;基于辅助信号及姿态角期望指令,设计虚拟角速度控制律,以保证对姿态角期望指令的有限时间稳定跟踪控制;The second part, the design of the attitude angle subsystem controller: for the attitude angle subsystem, a new type of auxiliary signal is designed to compensate the limited time compensation for the influence of the virtual angular velocity control law filtering signal; based on the auxiliary signal and the attitude angle expectation command, the virtual angular velocity control is designed law to ensure a limited time stable tracking control for the desired command of the attitude angle;
第三部分,角速度子系统控制器设计:针对角速度子系统,为解决执行器乘性故障影响,引入中间变量进行控制器设计,加性故障则通过自适应律处理,不同于传统对故障本身的估计,该方法通过对故障上界进行估计,同时有限时间处理乘性及加性故障影响,并设计自适应有限时间容错控制器,保证故障发生后航天器系统的有限时间容错控制,不同于传统的采用两个观测器或自适应律分别估计两个子系统中的未知干扰,本发明仅设计一个自适应律,方便参数调参,更适用于工程实际。The third part, the design of the angular velocity subsystem controller: for the angular velocity subsystem, in order to solve the influence of the multiplicative fault of the actuator, intermediate variables are introduced to design the controller. Estimation, this method estimates the fault upper bound, deals with the multiplicative and additive fault effects in a limited time, and designs an adaptive finite-time fault-tolerant controller to ensure the finite-time fault-tolerant control of the spacecraft system after a fault occurs, which is different from the traditional method. In the present invention, two observers or adaptive laws are used to estimate the unknown interference in the two subsystems respectively. The present invention only designs one adaptive law, which is convenient for parameter adjustment and is more suitable for engineering practice.
最后为了验证本发明提出算法的有效性,搭建航天器姿态容错控制的MATLAB/Simulink 仿真系统,验证本发明提出算法的有效性。Finally, in order to verify the validity of the algorithm proposed by the present invention, a MATLAB/Simulink simulation system for spacecraft attitude fault-tolerant control is built to verify the validity of the algorithm proposed by the present invention.
为了验证本发明提出的有限时间容错控制算法的有效性,首先将航天器姿态控制系统在 Matlba/Simulink中进行集成设计,并进行了仿真实验,主要仿真过程如下:In order to verify the validity of the finite-time fault-tolerant control algorithm proposed by the present invention, the spacecraft attitude control system is firstly designed in Matlba/Simulink, and a simulation experiment is carried out. The main simulation process is as follows:
(1)参数设置(1) Parameter setting
1)航天器物理参数设置:仿真过程中,航天器初始姿态值设置为p(0)=[-0.2 0.20.4]T,初始角速度设置为ω(0)=[0 0 0]Trad/s,期望姿态值设置为 pr=[0.3sin(t/10)0.4sin(t/20)0.3cos(t/10)]T,航天器转动惯量为1) Spacecraft physical parameter setting: During the simulation process, the initial attitude value of the spacecraft is set to p(0)=[-0.2 0.20.4] T , and the initial angular velocity is set to ω(0)=[0 0 0] T rad/ s, the desired attitude value is set to p r =[0.3sin(t/10)0.4sin(t/20)0.3cos(t/10)] T , the moment of inertia of the spacecraft is
考虑到前几阶柔性振动模态及液体晃动模态对航天器影响最大,随着阶数的增加,影响逐渐减小,因此,在本发明中,考虑前三阶振动模态及四阶晃动模态。其中,刚柔耦合矩阵为Considering that the first few-order flexible vibration modes and liquid sloshing modes have the greatest impact on the spacecraft, with the increase of the order, the influence gradually decreases. Therefore, in the present invention, the first three-order vibration modes and the fourth-order sloshing are considered. modal. Among them, the rigid-flexible coupling matrix is
各阶振动模态的自然频率分别设置为:Λ1=0.7681rad/s,Λ2=1.1038rad/s,Λ3=1.8733rad/s,各阶模态阻尼分别为ξ1=0.0056,ξ2=0.0086,ξ3=0.013。The natural frequencies of the vibration modes of each order are respectively set as: Λ 1 =0.7681rad/s, Λ 2 =1.1038rad/s, Λ 3 =1.8733rad/s, the damping of each order is ξ 1 =0.0056,ξ 2 = 0.0086, ξ 3 =0.013.
前四阶液体晃动模态的阻尼矩阵为Cl=diag(3.334,3.334,0.237,0.237),刚度矩阵为 Kl=diag(55.21,55.21,7.27,7.27),晃动液体质量为m1=20kg,m2=0.8kg, b1=1.127m,b2=0.994m。The damping matrix of the first four-order liquid sloshing mode is C l =diag(3.334,3.334,0.237,0.237), the stiffness matrix is K l =diag(55.21,55.21,7.27,7.27), and the sloshing liquid mass is m 1 =20kg , m 2 =0.8kg, b 1 =1.127m, b 2 =0.994m.
未知干扰为d=0.01[sin(t/10),cos(t/15),sin(t/20)]TNm。The unknown disturbance is d=0.01[sin(t/10), cos(t/15), sin(t/20)] T Nm.
乘性时变故障值大小设置为:The magnitude of the multiplicative time-varying fault value is set as:
ρ41=0.7+0.1sin(0.1t+π/3)+0.1sin(mod(t,30)-15)ρ 41 =0.7+0.1sin(0.1t+π/3)+0.1sin(mod(t,30)-15)
ρ42=0.6+0.1sin(0.1t+2π/3)+0.1sin(mod(t,40)-25)ρ 42 =0.6+0.1sin(0.1t+2π/3)+0.1sin(mod(t,40)-25)
ρ43=0.7-0.1sin(0.1t+π)+0.1sin(mod(t,50)-25)ρ 43 =0.7-0.1sin(0.1t+π)+0.1sin(mod(t,50)-25)
加性时变故障值大小设置为:The additive time-varying fault value size is set as:
f1=0.005+0.02sin(0.2t),f2=-0.02sin(0.2t+π/3),f 1 =0.005+0.02sin(0.2t),f 2 =-0.02sin(0.2t+π/3),
f3=-0.005+0.01sin(0.15t+π)f 3 =-0.005+0.01sin(0.15t+π)
自适应及控制器参数设置为γ=5,r=10,κ=0.001,Γ=2,σ=5,σ1=10,σ2=1,σ3=0.2,k41=1,k42=0.02,c1=0.2,c2=0.02,a1=1,a2=1,m=11/13。The adaptive and controller parameters are set as γ=5, r=10, κ=0.001, Γ=2, σ=5,
2)自适应律及控制器参数设置为:γ=5,r=10,κ=0.001,Γ=2,σ=5,σ1=10,σ2=1,σ3=0.2,k41=1,k42=0.02,c1=0.2,c2=0.02,a1=1,a2=1,m=11/13。2) The adaptive law and controller parameters are set as: γ=5, r=10, κ=0.001, Γ=2, σ=5, σ 1 =10, σ 2 =1, σ 3 =0.2, k 41 = 1, k42 =0.02, c1 = 0.2, c2=0.02, a1= 1 , a2= 1 , m= 11 /13.
(2)结果分析(2) Analysis of results
为说明本方法的有效性,下面将进行相关仿真:In order to illustrate the effectiveness of this method, relevant simulations will be carried out as follows:
仿真结果如图2-图10所示。其中,图2为姿态角跟踪误差曲线图。从仿真图中可以看出,所设计的分步控制算法能够保证对期望姿态角的快速收敛,即使在姿态测量误差及执行器故障存在的条件下,姿态角约在5s以内实现收敛,且跟踪精度数量级为10-3。图3为姿态角速度跟踪误差变化曲线图,从仿真图中也可以看出,姿态角速度能够约在大约5s左右实现收敛,但收敛精度不如姿态角收敛精度高,这是因为控制器首先作用于姿态角速度系统,再由姿态角速度作用,保证姿态角的收敛,姿态角系统的控制量相比更加平滑,所以收敛精度更高。图4为虚拟角速度跟踪曲线图。从仿真图中可以看出,基本可以实现实际角速度对虚拟参考指令的估计值的有效跟踪,而估计值又可以通过有限时间微分器实现对虚拟参考指令ωd的有效估计,如图5所示,可以看出,可以在2s之内实现对ωd的估计。The simulation results are shown in Figure 2-Figure 10. Among them, Figure 2 is an attitude angle tracking error curve. It can be seen from the simulation diagram that the designed step-by-step control algorithm can ensure the rapid convergence of the desired attitude angle. Even in the presence of attitude measurement errors and actuator faults, the attitude angle can be converged within about 5s, and the tracking The precision is on the order of 10 -3 . Figure 3 shows the change curve of the attitude angular velocity tracking error. It can also be seen from the simulation diagram that the attitude angular velocity can achieve convergence in about 5s, but the convergence accuracy is not as high as that of the attitude angle, because the controller first acts on the attitude The angular velocity system is then acted on by the attitude angular velocity to ensure the convergence of the attitude angle. The control amount of the attitude angle system is smoother than that of the attitude angle system, so the convergence accuracy is higher. FIG. 4 is a graph of virtual angular velocity tracking. It can be seen from the simulation diagram that the actual angular velocity can basically be achieved Estimated value of virtual reference command effective tracking of , while the estimated value The effective estimation of the virtual reference instruction ω d can also be realized by the finite-time differentiator, as shown in Figure 5, it can be seen that, The estimation of ω d can be achieved within 2s.
进一步地,为了补偿微分器估计带来的误差,辅助系统状态ξ1i发挥作用,如图6所示,为了更清晰的观察ξ1i的变化,在图6中仅放置5s内的变化图。由于图5中在2s之内实现对虚拟参考指令ωd的估计,故从仿真图6中可以看出,在估计上ωd之前,辅助系统状态会不断变化,以在控制器设计中补偿滤波器带来的估计误差,保证控制精度。当实现对ωd的估计后,辅助系统状态ξ1i将不再发挥作用,会在有限时间收敛,收敛数量级为10-5,以降低对系统控制精度的影响。Further, in order to compensate the error brought by the differentiator estimation, the auxiliary system state ξ 1i plays a role, as shown in Fig. 6, in order to observe the change of ξ 1i more clearly, only the change graph within 5s is placed in Fig. 6. Since the estimation of the virtual reference command ω d is realized within 2s in Fig. 5, it can be seen from the simulation Fig. 6 that the state of the auxiliary system will change continuously before estimating ω d to compensate the filtering in the controller design The estimation error brought by the controller ensures the control accuracy. When the estimation of ω d is realized, the auxiliary system state ξ 1i will no longer play a role, and will converge in a finite time with an order of magnitude of 10 -5 , so as to reduce the impact on the system control accuracy.
图7为控制输入变化曲线图,初始为保证状态的快速收敛,控制输入数值较大,但满足约束条件,由于测量误差及晃动振动等高频波动影响,从图中可以看出,控制输入存在一些波动。图8为自适应参数变化曲线图,从仿真图中可以看出,自适应参数不断波动,以保证系统的控制性能。图9及图10分别为液体晃动模态及柔性振动模态变化曲线图,从图中可以看出,柔性振动及液体晃动强度均会不断衰减,其产生的影响通过自适应律进行处理,但可以看出柔性振动及液体晃动并未完全抑制,仍然会对控制性能产生一定影响,而通过调整控制算法,将柔性振动及液体晃动主动抑制到零,提高控制精度也将是将来的工作重点。Figure 7 is a graph of the control input change. Initially, to ensure the rapid convergence of the state, the control input value is large, but it satisfies the constraints. Due to the influence of high-frequency fluctuations such as measurement error and swaying vibration, it can be seen from the figure that the control input exists. some volatility. Figure 8 shows the adaptive parameters It can be seen from the simulation diagram that the adaptive parameters fluctuate constantly to ensure the control performance of the system. Figure 9 and Figure 10 are the change curves of the liquid sloshing mode and the flexible vibration mode, respectively. It can be seen from the figures that the flexible vibration and the liquid sloshing intensity will be attenuated continuously. It can be seen that the flexible vibration and liquid sloshing are not completely suppressed, and will still have a certain impact on the control performance. By adjusting the control algorithm, the flexible vibration and liquid sloshing are actively suppressed to zero, and the improvement of control accuracy will also be the focus of future work.
本发明以有限时间指令滤波反步设计理论为主要研究手段,提出一种综合故障影响下的航天器姿态容错控制算法,具体实现过程如下。The invention takes the finite-time instruction filtering backstepping design theory as the main research method, and proposes a spacecraft attitude fault-tolerant control algorithm under the influence of comprehensive faults. The specific implementation process is as follows.
第一步,航天器面向控制模型建立。基于改进罗德里格参数(MRPs)描述的航天器运动学模型,考虑柔性振动、液体晃动影响下的航天器姿态运动学及动力学模型描述如下:In the first step, the spacecraft-oriented control model is established. Based on the spacecraft kinematics model described by improved Rodrigue parameters (MRPs), the attitude kinematics and dynamic models of the spacecraft under the influence of flexible vibration and liquid sloshing are described as follows:
其中,p=[p1 p2 p3]T为描述航天器姿态的MRPs矢量,G(p)∈R3×3,表示为J为转动惯量,ω=[ω1 ω2 ω3]T为航天器角速度,d为未知外界干扰,u为控制力矩,χ∈RN,η∈RM分别为柔性振动模态及液体晃动模态,N,M为模态阶数。Ci,Ki(i=f,l)分别为振动模态及晃动模态的柔性矩阵及刚度矩阵,且 Cf=diag(2ξjΛj,j=1,2,…,N),其中Λj为第j阶柔性振动模态的自然频率,ξj为第j阶阻尼系数。Mη=diag(m1,m1,…,mM,mM)为晃动液体燃料的质量矩阵, mi为第i阶液体晃动模态的晃动液体质量。δf为刚柔耦合矩阵,δl为刚液耦合矩阵,表示为:Among them, p=[p 1 p 2 p 3 ] T is the MRPs vector describing the attitude of the spacecraft, G(p)∈R 3×3 , expressed as J is the moment of inertia, ω=[ω 1 ω 2 ω 3 ] T is the angular velocity of the spacecraft, d is the unknown external disturbance, u is the control torque, χ∈R N , η∈R M are the flexible vibration mode and liquid sloshing, respectively mode, where N and M are the modal order. C i ,K i (i=f,l) are the flexibility matrix and stiffness matrix of vibration mode and sway mode respectively, and C f =diag(2ξ j Λ j ,j=1,2,...,N), where Λ j is the natural frequency of the j-th flexible vibration mode, and ξ j is the j-th damping coefficient. M η =diag(m 1 ,m 1 ,...,m M ,m M ) is the mass matrix of the sloshing liquid fuel, and mi is the sloshing liquid mass of the i -th liquid sloshing mode. δf is the rigid-flexible coupling matrix, and δl is the rigid-liquid coupling matrix, expressed as:
其中,bi为第i阶液体模态及质心之间的距离。对x×定义为:where b i is the distance between the i-th liquid mode and the centroid. right x × is defined as:
考虑外界未知环境影响及星敏感器、陀螺仪本身的测量能力限制带来的姿态角及角速度测量误差,表示为:Considering the influence of the unknown external environment and the measurement error of the attitude angle and angular velocity caused by the measurement capability limitation of the star sensor and the gyroscope itself, it is expressed as:
其中,为姿态角及角速度的测量值,v1,v2分别为姿态角及角速度的测量误差。in, are the measured values of attitude angle and angular velocity, v 1 , v 2 are the measurement errors of attitude angle and angular velocity, respectively.
对式(5)求导,并代入式(1)可得:Taking the derivative of equation (5) and substituting it into equation (1), we can get:
其中, in,
定义期望坐标系FD相对于地球惯性坐标系FI下的航天器期望姿态角为 pr=[pr1pr2 pr3]T,期望角速度为ωr=[ωr1 ωr2 ωr3]T。期望姿态角及角速度之间满足:Defining the desired attitude angle of the desired coordinate system FD relative to the earth inertial coordinate system FI is pr =[pr1 pr2 pr3] T, and the desired angular velocity is ω r = [ ω r1 ω r2 ω r3 ] T . The desired attitude angle and angular velocity satisfy:
为实现对期望姿态的有效跟踪,航天器期望坐标系FD与本体坐标系FB之间的姿态角误差及角速度误差为:In order to achieve effective tracking of the desired attitude, the attitude angle error and angular velocity error between the desired coordinate system FD of the spacecraft and the body coordinate system FB are:
其中,为FD到FB的旋转矩阵。in, is the rotation matrix from F D to F B.
因此,航天器姿态角及角速度跟踪误差动态表示为:Therefore, the spacecraft attitude angle and angular velocity tracking error are dynamically expressed as:
其中, in,
进一步地,在航天器机动过程中,由于空间环境影响及航天器元器件的老化,极易发生执行器故障,包括乘性故障及加性故障,数学表示如下:Further, during the maneuvering process of the spacecraft, due to the influence of the space environment and the aging of the spacecraft components, actuator failures, including multiplicative failures and additive failures, are prone to occur. The mathematical expression is as follows:
ui=ρiτi+fi (10)u i =ρ i τ i +f i (10)
其中,τi,i=1,2,3为期望的控制力矩,ui为执行机构实际作用给系统的控制力矩,ρi为执行器效率因子,满足0<ρi≤1。值得注意的是ρi=1表示执行器工作正常,0<ρi<1表示执行器部分失效,但是仍然能够工作。fi为执行器漂移故障,是有界的。Among them, τ i , i=1, 2, 3 is the desired control torque, ui is the control torque that the actuator actually acts on the system, and ρ i is the actuator efficiency factor, which satisfies 0<ρ i ≤1. It is worth noting that ρ i =1 indicates that the actuator works normally, and 0<ρ i <1 indicates that the actuator partially fails, but it can still work. f i is the actuator drift fault and is bounded.
将执行器故障模型(10)代入航天器姿态跟踪误差动态(9)可得:Substituting the actuator fault model (10) into the spacecraft attitude tracking error dynamics (9), we can get:
其中,ρ=diag(ρ1,ρ2,ρ3),f=[f1,f2,f3]T。式(11)即为建立的面向控制模型,后续将基于此模型进行控制器设计。Wherein, ρ=diag(ρ 1 , ρ 2 , ρ 3 ), f=[f 1 , f 2 , f 3 ] T . Equation (11) is the established control-oriented model, and the controller will be designed based on this model in the future.
假设1:系统(11)中未知不确定δ1,δ2是有界的,但上界未知,满足: 其中λ1,λ2为未知正常数,并定义未知变量λ=max(λ1,λ2)。Assumption 1: The unknown and uncertain δ 1 and δ 2 in the system (11) are bounded, but the upper bound is unknown, satisfying: Among them, λ 1 , λ 2 are unknown constants, and the unknown variable λ=max(λ 1 , λ 2 ) is defined.
本发明的控制目标为:基于传感器测量误差及执行器故障影响下的航天器运动学及动力学模型(11),设计自适应容错控制器τ,有效处理测量误差及执行器乘性及加性故障,保证对期望姿态指令的有限时间快速稳定跟踪控制。The control objective of the present invention is to design an adaptive fault-tolerant controller τ based on the kinematics and dynamics model (11) of the spacecraft under the influence of sensor measurement errors and actuator faults, so as to effectively deal with measurement errors and actuator multiplicative and additive properties faults to ensure fast and stable tracking control with limited time for the desired attitude command.
第二步,姿态角子系统控制器设计。针对姿态角子系统:The second step is to design the controller of the attitude angle system. For the attitude angle system:
通过将角速度ωe当作控制量,设计虚拟控制输入ωd,实现姿态角跟踪误差pe的有限时间收敛。为书写方便,定义新的变量:By taking the angular velocity ω e as a control variable, a virtual control input ω d is designed to achieve finite-time convergence of the attitude angle tracking error pe . For writing convenience, define new variables:
其中,z1为姿态角跟踪误差,为虚拟控制输入ωd经过滤波后的输出。Among them, z 1 is the attitude angle tracking error, is the filtered output of the virtual control input ω d .
针对姿态角子系统(12),代入式(13)可得For the attitude angle system (12), substituting into equation (13) can be obtained
为了补偿指令滤波误差设计如下辅助信号ξ41:To compensate for command filter error The auxiliary signal ξ 41 is designed as follows:
其中,k1>0,l1>0,ξ2由式(22)定义,项G(pe)ξ2用于稳定性证明需要。where k 1 >0, l 1 >0, ξ 2 is defined by equation (22), and the term G( pe )ξ 2 is required for stability proof.
为进行控制器设计,定义以下坐标变换:For controller design, define the following coordinate transformations:
v1=z1-ξ1,v2=z2-ξ2 (16)v 1 =z 1 -ξ 1 , v 2 =z 2 -ξ 2 (16)
对v1进行求导,并代入式(14)-式(16)可得Differentiate v 1 and substitute it into equation (14)-(16) to get
角速度虚拟控制输入ωd设计为:The angular velocity virtual control input ω d is designed as:
其中,a1>0,用来处理未知干扰δ1、δ2,利用式(26) 所示的自适应进行设计。in, a 1 > 0, It is used to deal with unknown interference δ 1 , δ 2 , and is designed using the adaptation shown in equation (26).
第三步,角速度子系统控制器设计。将姿态角子系统的虚拟控制输入当作角速度子系统的期望指令,基于姿态角速度完成自适应控制器设计,获得实际的控制力矩τ。The third step is to design the angular velocity subsystem controller. Input the virtual control of the pose angle system As the expected command of the angular velocity subsystem, the adaptive controller design is completed based on the attitude angular velocity, and the actual control torque τ is obtained.
针对角速度子系统:For the angular velocity subsystem:
基于角速度跟踪误差定义(13)及式(19),可得角速度跟踪误差动态为:Based on the angular velocity tracking error definition (13) and equation (19), the dynamic angular velocity tracking error can be obtained as:
基于v2的定义(16)及角速度跟踪误差动态(20),可得Based on the definition of v 2 (16) and the angular velocity tracking error dynamics (20), we can get
其中, in,
与姿态角子系统相同,设计辅助信号ξ2为:Same as the attitude angle system, the design auxiliary signal ξ 2 is:
其中,k2>0,l2>0。Wherein, k 2 >0, l 2 >0.
考虑到执行器乘性故障ρi及加性故障fi(i=1,2,3)是有界的,为了后续处理故障影响,定义以下新变量:Considering that the actuator multiplicative fault ρ i and additive fault f i (i=1, 2, 3) are bounded, in order to deal with the fault impact later, the following new variables are defined:
其中,θ及均为未知参数,将在后续利用自适应律及进行估计。where θ and are unknown parameters, and the adaptive law will be used in the follow-up and make an estimate.
为进行控制器设计,解决乘性故障,设计中间变量为:For controller design, to solve multiplicative faults, to design intermediate variables for:
其中,a2>0为正常数。及通过自适应律进行设计,分别用来处理未知干扰δi及漂移故障fi。in, a 2 >0 is a positive number. and The adaptive law is designed to deal with unknown disturbance δ i and drift fault f i respectively.
自适应参数及设计为:adaptive parameters and Designed to:
其中,γ>0,r>0,Γ>0,σ1,σ2,σ3>0。Wherein, γ>0, r>0, Γ>0, σ 1 , σ 2 , σ 3 >0.
真正的姿态控制器τ设计为:The real attitude controller τ is designed as:
基于以上三步,就完成了整个航天器有限时间姿态容错控制过程。Based on the above three steps, the entire spacecraft's limited-time attitude fault-tolerant control process is completed.
以上所述仅为本发明的较佳实施例,并不用以限制本发明,凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection of the present invention. within the range.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116382084A (en) * | 2023-04-04 | 2023-07-04 | 天津大学 | A Helicopter Intelligent Vibration Reduction Method Based on Adaptive Dynamic Programming |
CN116923730A (en) * | 2023-07-24 | 2023-10-24 | 哈尔滨工业大学 | Spacecraft attitude active fault-tolerant control method with self-adjusting preset performance constraint |
CN118567386A (en) * | 2024-05-21 | 2024-08-30 | 天津大学 | A hypersonic vehicle attitude control method based on robust adversarial reinforcement learning |
-
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- 2021-07-19 CN CN202110814588.4A patent/CN113778047A/en active Pending
Non-Patent Citations (1)
Title |
---|
张秀云: "涉及面向安全飞行的复杂航天器非线性鲁棒控制方法研究", 《中国学位论文全文数据库》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116382084A (en) * | 2023-04-04 | 2023-07-04 | 天津大学 | A Helicopter Intelligent Vibration Reduction Method Based on Adaptive Dynamic Programming |
CN116382084B (en) * | 2023-04-04 | 2023-12-05 | 天津大学 | Helicopter intelligent vibration reduction method based on self-adaptive dynamic programming |
CN116923730A (en) * | 2023-07-24 | 2023-10-24 | 哈尔滨工业大学 | Spacecraft attitude active fault-tolerant control method with self-adjusting preset performance constraint |
CN118567386A (en) * | 2024-05-21 | 2024-08-30 | 天津大学 | A hypersonic vehicle attitude control method based on robust adversarial reinforcement learning |
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