Fast-growing forest pruning robot structure design and climbing control

According to the requirement of fast-growing forest pruning operation,the pruning robot was developed.The structure and control system of pruning robot were described,the work flow of pruning robot was expounded.The type and structure of the driving motor and the compression spring were decided with force-balance analysis.The tilt problem of pruning robot was resolved by ADAMS and Matlab co-simulation,and the control scheme of climbing mechanism was determined.The experiment results of the prototype indicate that pruning robot can climb tree trunk smoothly at a speed of20 mm/s and cross the raised trunk.The pruning saw which is driven by the adjustable speed motor can cut the branches of30 rnm,And the residual amount of branches is less than5 ram.Pruning robot can meet the practical requirements of the fast-growing forest pruning work.     

基于协同仿真的风力发电机叶片的疲劳研究

对反求得到的叶片实体,应用动力学仿真软件ADAMS和有限元分析软件Ansys进行协同仿真确定叶片疲劳载荷谱以及利用线性损伤累积理论分析玻璃钢叶片的疲劳问题,得到叶片疲劳寿命等数据,为产品的再设计、再创新提供参考。     

考虑地面变形特性的车辆地面耦合系统的建模与仿真

利用虚拟样机技术,在ADAMS/View环境中建立某款铰接式自卸车的刚柔耦合的多体动力学模型,并通过整车道路模拟试验验证了模型的准确性。同时以汽车地面力学为基础,综合考虑轮胎与地面的接触变形特性,建立轮胎—变形地面接触模型,并将该模型以S－函数形式描述,生成Matlab/Simulink仿真模块。通过ADAMS/Control将车辆模型输出到Simulink中形成车辆模型子模块,与轮胎—土壤接触模型进行集成,从而建立考虑地面变形特性的车辆地面耦合系统模型及其仿真平台,为研究车辆地面耦合问题以及车辆系统的优化提供有效的方法和工具。     

车辆半主动悬架联合仿真分析

以多体动力学仿真软件SIMPACK为平台,建立昌河某微型轿车的整车模型,采用模糊控制策略,在联合仿真模块SIMAT中对整车进行了随机路面输入和脉冲输入仿真试验。结果表明,与被动悬架相比,联合仿真环境下,模糊控制的半主动悬架车辆可以有效衰减车体振动,改善整车的平顺性。     

嵌入式系统软件模拟及硬件接口设计的快速验证

该文提出了一种面向宿主机器代码编译的嵌入式软件功能验证方法,该方法从系统行为级验证系统功能,通过建立RTOS软件模拟器,实现嵌入式软件功能及硬件接口设计的快速验证,并以椭圆滤波器为例,阐述如何使用该方法验证嵌入式系统软件和硬件接口功能。     

船舶转叶式液压舵机系统建模与仿真分析

针对转叶式液压舵机系统,采用AMESim软件和Simulink软件联合仿真策略,分别建立转叶式舵机液压系统模型和舵叶水动力模型。仿真结果表明:所建立的联合仿真模型输出舵角能够较好地跟随给定舵角信号变化,满足舵角跟随的快速性和准确性要求;伺服阀开关动作会使转叶油缸的流量和压力产生脉动和震荡。     

基于油液补偿的雷达天线举升同步控制技术研究

针对由于雷达天线阵面刚度变弱而引起的天线液压举升动作不同步问题,结合雷达天线结构的特殊性,提出一种基于油液补偿的新型同步控制方案。运用机电液系统联合仿真技术,构建同步控制联合仿真平台进行仿真分析;搭建补油同步控制试验系统,开展同步性能验证。结果表明：仿真和试验结果基本一致;采用该补油同步控制系统,左右举升双油缸的同步控制误差可控制在2 mm以内,满足雷达天线自动架撤的指标要求。     

Efficient co-simulation framework enhancing system-level power estimation for a platform-based SoC design

This paper proposes a hardware–software (HW-SW) co-simulation framework that provides a unified system-level power estimation platform for analyzing efficiently both the total power consumption of the target SoC and the power profiles of its individual components. The proposed approach employs the trace-based technique that reflects the real-time behavior of the target SoC by applying various operation scenarios to the high-level model of target SoC. The trace data together with corresponding look-up table (LUT) is utilized for the power analysis. The trace data is also used to reduce the number of input vectors required to analyze the power consumption of large H/W designs through the trade-offs between the signal probability in the trace results and its effect on the power consumption. The effect of cache miss on power, occurring in the S/W program execution, is also considered in the proposed framework. The performance of the proposed approach was evaluated through the case study using the SoC design example of IEEE 802.11a wireless LAN modem. The case study illustrated that, by providing fast and accurate power analysis results, the proposed approach can enable SoC designers to manage the power consumption effectively through the reconstruction of the target SoC. The proposed framework maps all hardware IPs into FPGA. The trace based approach gets input vectors at transactor of the each IP and gets power consumption indexing a LUT. This hardware oriented technique reports the power estimation result faster than the conventional ones doing it at S/W level.     

ADAMS/Rail与AMESim联合仿真技术及其应用研究

介绍了多体动力学软件模块ADAMS/Rail和多领域建模与仿真软件AMESim的特点,对二者联合仿真的接口进行了探讨。提出了ADAMS/Rail与AMESim联合仿真的方法,并将该方法应用于铁道车辆悬挂系统的研究,为实现铁道车辆中复杂机电系统的建模与仿真提供了新的思路。     

基于广义动态模糊神经网络的电液伺服系统控制

针对电液伺服系统这一复杂的非线性系统,提出一种广义动态模糊神经网络学习算法,并设计控制器.该算法以模糊ε-完备性作为高斯函数宽度的确定准则;同时对模糊规则和输入变量的重要性作出评价,并以此来调整每个输入变量和模糊规则.使用AMESim软件搭建了系统的模型,并利用AMESim的接口技术实现了与Simulink的联合仿真....