基于AMESim与ADAMS联合建模的轧机厚控系统仿真

为了全面研究轧机液压厚控系统动态特性,建立直观真实的虚拟轧机模型,提出基于AMESim和ADAMS联合建模的仿真方法。在ADAMS中构造轧机实体刚柔耦合动力学模型,实现了轧机的负载特性研究;在AMESim中建立液压系统物理模型,实现了液压伺服系统精确建模和分析,两者通过接口实现数据交换,保证了液压系统模拟的准确性和负载系统模拟的真实性。通过联合仿真模型得到了系统实时响应以及出口板厚实时数据,将模型仿真输出数据与实测数据进行比较,证明仿真模型能准确体现系统动态响应,并能体现机械部件在载荷下弹性变形和板厚实时输出情况。     

挖掘机多泵液压系统设计与仿真研究

针对大型液压挖掘机工作平稳及可靠性的要求,从挖掘机液压系统观点出发,设计一套挖掘机多泵液压系统,并对其工作原理进行分析。利用AMESim软件建立挖掘机多泵液压系统模型,并与ADAMSCosim进行了联合仿真,通过合理设置仿真参数,得出挖掘机多泵液压系统回转机构与工作装置主要元件的输出特性。结果表明:挖掘机执行机构在外负载变化时运动平稳、可靠,主要元件的输出特性符合挖掘机实际运动规律,验证了设计的合理性。研究结果对实际挖掘机液压系统的设计和调试具有指导意义,同时可以提高设计可行性和可靠性,降低设计成本。     

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。     

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。     

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。     

三自由度工业机器平台机电液一体化仿真

提出了一种通过液压系统控制的三自由度工业机器平台,着重介绍了三自由度机器平台的机械结构及性能指标参数。通过ADAMS、AMESim、Matlab/Simulink软件间的协同仿真技术开展了该机器平台的机电液一体化的仿真分析,确定所设计的三自由度机器人能够较好地跟踪给定的目标指令,满足系统设计要求。通过虚拟仿真,提高了机电液复杂系统分析的效率,仿真方法对于复杂机电液系统具有普遍的适应性。     

Design and implementation of an optimised wireless pressure sensor for biomedical application

This paper presents design and implementation of a wireless pressure sensor system for biomedical application. The system consists of a front-end Micro-Electro- Mechanical System (MEMS) sensing capacitor along with an optimised MEMS-based oscillator for signal conditioning circuit. In this design, vertical fringed comb capacitor is employed due to the advantages of smaller area, higher linearity and larger full scale change in capacitance compared to parallel plate counterparts. The MEMS components are designed in Coventorware design suite and their Verilog-A models are extracted and then imported to Cadence for co-simulation with the CMOS section of the system using AMI 0.6-micron CMOS process. In this paper, an optimisation method to significantly reduce the system power consumption while maintaining the system performance sufficient is also proposed. A phase noise optimisation approach is based on the algorithm to limit the oscillator tail current. Results show that for the pressure range of 0–300 mmHg the device capacitance range of 1.31 pF – 1.98 pF is achieved which results in a frequency sweep of 2.54 GHz – 1.95 GHz. Results also indicate that a 42% reduction of power consumption is achieved when the optimisation algorithm is applied. This characteristic makes the sensor system a better candidate for wireless biomedical applications where power consumption is the major factor. Hai Phuong Le received his B.E. (Hons) degree in Electronic and Computer System Engineering from University of Tasmania, Hobart, Australia in 2000. He received his Ph.D. degree in Microelectronics from Victoria University, Melbourne, Australia in 2005. At present, he is a post-doctoral research fellow and lecturer in the Centre for Telecommunications and Microelectronics, Victoria University. His research and teaching interests include data acquisition system, mixed-signal integrated circuit design and wireless smart sensor systems. Kriyang Shah received his B.E. Degree in Electronics and Communication Engineering from Sardar Patel University, Vallabh Vidyanagar, Gujarat, India and his Master Degree in Microelectronics in 2004. He is currently a Ph.D. research student in the Centre for Telecommunications and Microelectronics, Victoria University, Melbourne, Australia. His research interests include MEMS Sensors, RF MEMS, process integration for MEMS and CMOS and MEMS-CMOS co-simulation. Jugdutt (Jack) Singh received his B.Sc. in Electronics Engineering from University of Brighton, UK and M.Sc. in Electronics Engineering from University of Alberta, Canada in 1978 and 1986 respectively. He completed his Ph.D. at Victoria University, Australia in 1997. Since 1989 he has been at Victoria University, Melbourne, Australia. Currently he is a Professor of Microelectronics in the Centre for Telecommunications and Microelectronics at Victoria University. His major area of research interests are in the RF, analog and mixed signal design, reconfigurable architectures, low power VLSI circuits and systems design. He has published number of articles in education and research in microelectronics and small technologies area. Aladin Zayegh received his B.E. degree in Electrical Engineering from Aleppo University in 1970 and Ph.D. degree from Claude Bernard University, France in 1979. In 1980, he joined the Faculty of Engineering, Tripoli, Libya. Since 1984 he has held lecturing position at Victoria University, Melbourne, Australia. He is currently an Associate Professor and the Head of School in the School of Electrical Engineering, Faculty of Health, Engineering and Engineering and Science at Victoria University. His research interest includes microprocessor-based system, instrumentation, data acquisition and interfacing, and microelectronics.     

基于虚拟样机技术的倒立摆仿真研究

将虚拟样机技术引入倒立摆控制系统框架中,利用虚拟样机软件ADAMDS,并结合三维造型软件SolidWorks和控制仿真软件MATLAB/SIMULINK对倒立摆系统进行建模和联合仿真.并在此基础上实现了LQR算法对倒立摆的控制,得到了满意的仿真结果.