Fuzzy adaptive tracking control within the full envelope for an unmanned aerial vehicle

Motivated by the autopilot of an unmanned aerial vehicle（UAV） with a wide flight envelope span experiencing large parametric variations in the presence of uncertainties, a fuzzy adaptive tracking controller（FATC） is proposed. The controller consists of a fuzzy baseline controller and an adaptive increment, and the main highlight is that the fuzzy baseline controller and adaptation laws are both based on the fuzzy multiple Lyapunov function approach, which helps to reduce the conservatism for the large envelope and guarantees satisfactory tracking performances with strong robustness simultaneously within the whole envelope. The constraint condition of the fuzzy baseline controller is provided in the form of linear matrix inequality（LMI）, and it specifies the satisfactory tracking performances in the absence of uncertainties. The adaptive increment ensures the uniformly ultimately bounded（UUB） predication errors to recover satisfactory responses in the presence of uncertainties. Simulation results show that the proposed controller helps to achieve high-accuracy tracking of airspeed and altitude desirable commands with strong robustness to uncertainties throughout the entire flight envelope.     

Robust control for an unmanned helicopter with constrained flapping dynamics

In this paper, a neural network based adaptive prescribed performance control scheme is proposed for the altitude and attitude tracking system of the unmanned helicopter in the presence of state and output constraints. For handling the state constraints, the barrier Lyapunov function and the saturation function are employed. And, the prescribed performance method is used to deal with the flapping angle constraints for the unmanned helicopter. It is proved that the proposed control approach can ensure that all the signals of the resulting closed-loop system are bounded, and the tracking errors are within the prescribed performance bounds for all time. The numerical simulation is given to illustrate the performance of the proposed scheme.     

基于脉冲同步的混沌雷达信号延迟方法

提出一种基于脉冲同步技术的混沌雷达信号延迟方法。该方法首先对混沌信号进行滤波；然后对滤波输出进行采样量化，采用数字技术延迟实现量化的信号；最后通过脉冲同步系统来恢复原信号，实现混沌信号的延迟。文章给出了方法的系统实现结构，并发展了一个新的脉冲同步方法。通过计算最大条件Lyapunov指数，研究了滤波器带宽和最小采样频率之间的关系并讨论了采样和量化对系统性能的影响。仿真结果表明本文方法的有效性。     

Nonlinear Adaptive Robust Force Control of Hydraulic Load Simulator

This paper deals with the high performance force control of hydraulic load simulator. Many previous works for hydraulic force control are based on their linearization equations, but hydraulic inherent nonlinear properties and uncertainties make the conventional feedback proportional-integral-derivative control not yield to high-performance requirements. In this paper, a nonlinear system model is derived and linear parameterization is made for adaptive control. Then a discontinuous projection-based nonlinear adaptive robust force controller is developed for hydraulic load simulator. The proposed controller constructs an asymptotically stable adaptive controller and adaptation laws, which can compensate for the system nonlinearities and uncertain parameters. Meanwhile a well-designed robust controller is also developed to cope with the hydraulic system uncertain nonlinearities. The controller achieves a guaranteed transient performance and final tracking accuracy in the presence of both parametric uncertainties and uncertain nonlinearities; in the absence of uncertain nonlinearities, the scheme also achieves asymptotic tracking performance. Simulation and experiment comparative results are obtained to verify the high-performance nature of the proposed control strategy and the tracking accuracy is greatly improved.     

Exponent及Gauss型遥测数据建模初始化算法

在对某大型航天电子设备的遥测数据建模时,经常遇到含有指数类变化规律的数据,对其进行建模可以为研究设备性能的变化规律、实际与设计的差异等提供手段。针对有指数变化趋势的遥测数据,采用Exponent模型、Gauss模型对遥测数据建模,给出了这种数据模型的表达式,研究了2种模型的参数初始化算法。通过数值实验说明模型参数初始化算法的有效性,为后续利用最优化理论求解模型精确参数提供了良好的初试点。     

刚体飞行器大角度机动的反馈非线性化控制

研究了刚体飞行器大角度的姿态控制问题,采用四元数描述刚体姿态,建立了刚体姿态运动的数学模型。基于反馈非线性化技术,通过构造李雅普诺夫函数推导出标量增益的线性控制律和矩阵增益的非线性控制律。两种控制律不需要知道系统参数,对模型误差具有鲁棒性。理论分析和仿真结果表明,所求控制律对闭环系统具有全局渐近稳定性。     

关联大系统的中性化分散控制与稳定性

本文提出了一种新的关联大系统中性化分散控制方法,可以使大系统处于非中性关联时的性能等同于子系统全解耦时的性能,确保各子系统有完全的自主性,避免了大系统的参数阵出现摄动,从而改进了关联大系统的整体性能。文中根据向量李亚普诺夫函数,在解耦分散控制子系统渐近稳定的条件下,提出了一种根据中性化关联矩阵判断关联大系统稳定性的方法。     

丁羟平台推进剂研究

论述丁羟平台推进剂研究结果,使用新型燃速添加剂EM_(503)和组合添加剂EMT,可使燃速为7mm/s,5mm/s左右的丁羟推进剂得到良好的平台效应,本文还对平台效应的机理作了简略分析和讨论。     

一类三阶非线性系统的全局渐近稳定性

运用"类比法"对两类三阶非线性系统构造了较好的Lyapunov函数,并建立了该系统平凡解全局渐近稳定的条件.     

广义系统静态输出反馈镇定的一个充要条件

研究广义系统静态输出反馈镇定的问题．基于广义李雅普诺夫方程,给出广义系统通过输出反馈镇定的一个充要条件,该结果是正常系统输出反馈镇定相应结果的推广。另外给出了求取镇定控制器参数的一个算法,并通过数字算例说明该算法是有效的。