基于二阶矩阵微分方程的机械振动系统线性二次型调节器设计

本文讨论机械振动系统线性二次型状态调节器（LQR）问题，直接针对系统二阶运动微分方程，性能指标为一个依赖于二阶导数的泛函。由欧拉-拉格朗日方程得出一个系统矩阵增广的二阶线性微分方程，指出该方程稳定的特征对就是最优控制振动系统闭环特征对，并给出求解最优控制状态反馈矩阵的方法，另外，由本文方法还可得出基于速度和加速度反馈的最优控制反馈矩阵。这里不涉及求解代数矩阵Riccati方程。     

基于SD*lite的月球车任务规划算法

月球车任务规划是在给定初始位置和目标位置,满足月面地形约束、工作模式约束以及能量约束的前提下,规划出月球车最优的路径。设计了一种月球车任务规划的模型,提出了一种基于SD*lite算法的规划器,在原有SD*lite算法的基础上进一步考虑了对可用资源的限制;它可以协助月球车在考虑太阳能帆板的能量约束的条件下,合理避障最终达到目标点,使规划的轨迹更符合实际。     

基于变换的电能质量分析方法

对电能质量问题和基于变换的电能质量分析方法进行了综述,文中给出了各种电能质量扰动现象的分类与特征,对傅里叶变换,短时傅里叶变换、小波变换和二次变换这4种变换分析方法的基本原理及其在电能质量领域的应用作了详细论述,阐明了各种方法的特点及其适用条件,最后提出了电能质量研究的方向。     

基于制造约束的钣金零件结构工艺性评价

在基于特征的零件模型基础上,建立了制造约束与钣金零件特征之间的关系,对钣金零件的制造约束类型进行了归纳,并给出了相应的钣金零件结构工艺性评价方法。     

Development of a novel 6LoWPAN-based multipurpose sensor monitoring and notification system

In the area of wireless communication technologies, 6LoWPAN leverages the extensive capabilities of IPv6, even within the constraints imposed by resource-limited devices, particularly within wireless sensor networks (WSNs). The integration of 6LoWPAN into modern solutions for implementing the IPv6-based Internet of Things (IoT) is becoming increasingly important. In this paper, a sensor monitoring and notification system specifically designed for deployment over 6LoWPAN has been proposed. Multipurpose capability, scalability, and ease of deployability are the main features of the proposed system. Its architecture reflects the highest degree of flexibility and allows for a variety of use cases encountered in practical scenarios. In addition, a web interface has been developed as part of the comprehensive system architecture. This interface enables efficient management of the entire system and facilitates connection for new users and seamless integration of additional sensors. By encapsulating complex functions in a user-friendly interface, the system promotes accessibility, convenience, and an enhanced user experience. The proposed system overcomes the limitations of current approaches, thereby creating new opportunities. The flexibility of the proposed system allows it to be applied to various use cases.     

一种多维网格编码译码器的高效FPGA设计

为在实时通信系统中有效利用多维网格编码调制(MDTCM)的短码特性,设计了一种适合FPGA实现的高效多维网格编码译码器。在该设计中,提出了一种易于硬件实现的改进归一化译码算法,采用四级流水线和乒乓环结构,并充分利用译码算法中的固有特性,有效降低了资源消耗和译码延迟。测试表明,该设计简单可靠,性能稳定,易于移植扩展,非常适合实时通信场合的应用,目前该译码器已成功应用于某实时通信系统中。     

基于静力虚拟变形法的结构损伤识别研究

为了提高大型结构损伤识别的计算效率,引入静力虚拟变形法（VDM）,并结合序列二次规划（SQP）算法实现损伤定位和损伤定量。首先,基于VDM的基本原理,推导了损伤因子与虚拟变形的关系;其次,建立损伤应变与实际损伤应变的目标函数,并利用SQP算法优化目标函数,实现了结构损伤识别的快速计算;最后,以某实际大桥有限元模型为例,对其吊杆的损伤识别进行了数值模拟研究。设计了基于恒荷载的实时监测和基于车辆静荷载的定期检测2种工况对该方法进行验证。结果表明:该方法能够快速准确地识别出损伤发生的位置和程度。     

The jump-like crack growth model, the estimation of fracture energy and JR curve

In this paper the jump-like crack growth model for monotonic loading is applied to re-examine both the onset of crack growth and process of stable crack growth. In the former case the fracture energy associated with a new surface creation is estimated and the in-plane constraint influence on this quantity is examined using the J-A₂ approach. In the later case the formula to compute the J-resistance curve is re-examined and compared with the one known from the standards. In the analysis the plane strain model of a structural element made of elastic-plastic material is assumed.     

High-Speed Trains Automatic Operation with Protection Constraints: A Resilient Nonlinear Gain-based Feedback Control Approach

This paper addresses the control design for automatic train operation of high-speed trains with protection constraints. A new resilient nonlinear gain-based feedback control approach is proposed, which is capable of guaranteeing, under some proper non-restrictive initial conditions, the protection constraints control raised by the distance-to-go (moving authority) curve and automatic train protection in practice. A new hyperbolic tangent function-based model is presented to mimic the whole operation process of high-speed trains. The proposed feedback control methods are easily implementable and computationally inexpensive because the presence of only two feedback gains guarantee satisfactory tracking performance and closed-loop stability, no adaptations of unknown parameters, function approximation of unknown nonlinearities, and attenuation of external disturbances in the proposed control strategies. Finally, rigorous proofs and comparative simulation results are given to demonstrate the effectiveness of the proposed approaches.      

基于混沌粒子群优化的约束状态反馈预测控制算法

提出一种基于混沌粒子群优化的约束状态反馈预测控制算法,用于解决带有输入约束和状态约束的控制问题.将混沌粒子群优化引入到约束状态反馈预测控制的滚动优化过程中,增强了算法在约束范围内的局部搜索和全局搜索能力.通过对一个实际的带有约束的线性离散系统控制优化问题的解决,验证了基于混沌粒子群优化的状态反馈预测控制算法的可行性和有效性,与传统的二次规划算法的比较结果说明了此算法的优越性,证明了状态反馈预测控制系统良好的鲁棒性.