基于故障观测器的无人机直接自修复控制

提出一种基于故障观测器的无人机直接自修复控制。首先,根据系统本身存在的故障,设计了一个非线性故障观测器对其进行观测。其次,设计了一个快速终端滑模面和直接自修复控制器,将指数函数和符号函数引入到新型滑模面里。同时引入了自适应技术,对不确定的故障估计其上界。最后,通过对无人机进行了相应的仿真数值验证得出所提方法的有效性。     

H∞ output tracking control for flight control systems with time-varying delay

For flight control systems with time-varying delay, an H∞ output tracking controller is proposed. The controller is designed for the discrete-time state-space model of general aircraft to reduce the effects of uncertainties of the mathematical model, external disturbances, and bounded time-varying delay. It is assumed that the feedback-control loop is closed by the communication network, and the network-based control architecture induces time-delays in the feedback information. Suppose that the time delay has both an upper bound and a lower bound. By using the Lyapu- nov-Krasovskii function and the linear matrix inequality （LMI）, the delay-dependent stability criterion is derived for the time-delay system. Based on the criterion, a state-feedback H∞ output tracking controller for systems with norm-bounded uncertainties and time-varying delay is presented. The control scheme is applied to the high incidence research model （HIRM）, which shows the effectiveness of the proposed approach.     

Multiple model particle flter track-before-detect for range ambiguous radar

The middle pulse repetition frequency（MPRF）and high pulse repetition frequency（HPRF）modes are widely adopted in airborne pulse Doppler（PD）radar systems,which results in the problem that the range measurement of targets is ambiguous.The existing data processing based range ambiguity resolving methods work well on the condition that the signal-to-noise ratio（SNR）is high enough.In this paper,a multiple model particle flter（MMPF）based track-beforedetect（TBD）method is proposed to address the problem of target detection and tracking with range ambiguous radar in low-SNR environment.By introducing a discrete variable that denotes whether a target is present or not and the discrete pulse interval number（PIN）as components of the target state vector,and modeling the incremental variable of the PIN as a three-state Markov chain,the proposed algorithm converts the problem of range ambiguity resolving into a hybrid state fltering problem.At last,the hybrid fltering problem is implemented by a MMPF-based TBD method in the Bayesian framework.Simulation results demonstrate that the proposed Bayesian approach can estimate target state as well as the PIN simultaneously,and succeeds in detecting and tracking weak targets with the range ambiguous radar.Simulation results also show that the performance of the proposed method is superior to that of the multiple hypothesis（MH）method in low-SNR environment.     

Transient performance and intelligent combination control of a novel spray cooling loop system

Effective thermal control systems are essential for the reliable working of insulated gate bipolar transistors （IGBTs） in many applications. A novel spray cooling loop system with integrated sintered porous copper wick （SCLS-SPC） is proposed to meet the requirements of higher device level heat fluxes and the harsh environments in some applications such as hybrid, fuel cell vehicles and aerospace. Fuzzy logic and proportional-integral-derivative （PID） policies are applied to adjust the electronic temperature within a safe working range. To evaluate the thermal control effect, a mathematical model of a 4-node thermal network and pump are established for predicting the dynamics of the SCLS-SPC. Moreover, the transient response of the 4 nodes and vapor mass flowrate under no control, PID and Fuzzy-PID are numerically investigated and discussed in detail.     

BOC信号解模糊边峰消除法通用模型的构建

针对现有边峰消除方法缺乏理论分析模型的问题,提出了一种新的边峰消除法理论分析通用模型。该模型通过建立泛化的扩频符号波形,构建接收二进制偏移载波（BOC）信号与本地辅助信号的互相关函数。基于现有方法对该模型进行了数学证明。理论分析与仿真结果表明,新的边峰消除法理论分析通用模型能将现有的各种基于相关函数组合的BOC信号无模糊处理方法统一起来,使BOC信号无模糊捕获跟踪算法的设计可以在该模型所提供的框架内利用解析方法完成,为算法的设计提供了有力的数学工具。
     

无人机近距编队飞行建模与仿真

无人机编队飞行有着单架无人机无法比拟的优点,但属于较新的研究领域。从无人机未来发展需求出发,根据近距编队的特点,提出了一种近距编队控制方法,并以双机近距编队为基础对控制律设计和算法实现进行了研究。通过建立僚机旋转参考系下的双机编队相对运动模型,同时考虑长机翼尖涡对僚机产生的气动耦合效应,基于PI控制设计了一种无人机近距编队飞行控制器,通过仿真验证和比较分析,证明僚机可以很好地跟随长机的机动保持编队构型,验证了提出的编队飞行控制方法的可行性和有效性。     

航空发动机转速摆动问题研究

针对某型航空发动机闭环转速控制器引起的转速摆动问题进行研究,分析得出转速控制器是一个典型的比例积分控制器,并建立了转速控制器的AMESim模型。通过模型得到转速控制器的频率特性,发现其截止频率与转速摆动频率重合。分析指出转速摆动量与比例控制器精度的关系,找到了转速摆动的根本原因,并通过设计稳态试验台实现了验证,指出了解决转速摆动和提高控制精度的方法。     

基于滑模控制的航空发动机多变量约束管理

针对航空发动机传统单变量线性控制器min-max切换方法处理约束的不足,提出了单变量滑模控制器替换所有线性控制器的改进策略,并将该方法拓展为新切换逻辑下的多变量滑模控制结构。基于改进的单变量滑模控制器min-max结构,多变量控制策略中加入了多变量滑模主控制器和新的切换逻辑,充分利用发动机的所有控制量,克服了传统方法的保守性,进一步提高发动机约束下的动态性能。对稳态时工作的控制器进行了理论分析,建立了多变量控制器实现精确跟踪的充要条件。仿真结果表明,多变量控制方法在更苛刻的约束条件下能够实现跟踪任务,而且提高了推力跟踪的快速性,调节时间从1.91 s缩短到1.54 s,同时降低了稳态时的油耗。     

幅值锁定型超流体陀螺模糊自抗扰控制系统设计

针对幅值锁定型超流体陀螺中热相位注入存在的温升延迟和热噪声影响陀螺系统测量精度和稳定性的问题,提出一种基于模糊自抗扰的超流体陀螺控制系统设计方法。首先建立超流体陀螺的数学模型;分析热相位注入引入的温升延迟和未知热噪声对系统敏感精度和稳定性的影响机理。在此基础上,设计集微分跟踪器、扩张状态观测和非线性反馈控制律于一体的自抗扰控制器,并进一步采用模糊推理实现非线性组合的比例和微分系数的自适应调整。最后利用Maltlab/Simulink进行仿真校验。仿真结果表明：该控制方法能够抑制未知噪声和温升延迟对系统的影响,对工作点实现良好的锁定,有效地提高了陀螺系统的测量精度和稳定性。