Design and performance analysis of position-based impedance control for an electrohydrostatic actuation system

Electrohydrostatic actuator (EHA) is a type of power-by-wire actuator that is widely implemented in the aerospace industry for flight control, landing gears, thrust reversers, thrust vector control, and space robots. This paper presents the development and evaluation of position-based impedance control (PBIC) for an EHA. Impedance control provides the actuator with compliance and facilitates the interaction with the environment. Most impedance control applications utilize electrical or valve-controlled hydraulic actuators, whereas this work realizes impedance control via a compact and efficient EHA. The structures of the EHA and PBIC are firstly introduced. A mathematical model of the actuation system is established, and values of its coefficients are identified by particle swarm optimization. This model facilitates the development of a position controller and the selection of target impedance parameters. A nonlinear proportional-integral position controller is developed for the EHA to achieve the accurate positioning requirement of PBIC. The controller compensates for the adverse effect of stiction, and a position accuracy of 0.08 mm is attained. Various experimental results are presented to verify the applicability of PBIC to the EHA. The compliance of the actuator is demonstrated in an impact test.     

A pre-generated matrix-based method for real-time robotic drilling chatter monitoring

Currently, due to the detrimental effects on surface finish and machining system, chatter has been one crucial factor restricting robotic drilling operations, which improve both quality and efficiency of aviation manufacturing. Based on the matrix notch filter and fast wavelet packet decomposition, this paper presents a novel pre-generated matrix-based real-time chatter monitoring method for robotic drilling. Taking vibration characteristics of robotic drilling into account, the matrix notch filter is designed to eliminate the interference of spindle-related components on the measured vibration signal. Then, the fast wavelet packet decomposition is presented to decompose the filtered signal into several equidistant frequency bands, and the energy of each sub-band is obtained. Finally, the energy entropy which characterizes inhomogeneity of energy distribution is utilized as the feature to recognize chatter on-line, and the effectiveness of the presented algorithm is validated by extensive experimental data. The results show that the proposed algorithm can effectively detect chatter before it is fully developed. Moreover, since both filtering and decomposition of signal are implemented by the pre-generated matrices, calculation for an energy entropy of vibration signal with 512 samples takes only about 0.690 ms. Consequently, the proposed method achieves real-time chatter monitoring for robotic drilling, which is essential for subsequent chatter suppression.     

Best practices for model-based and simulation-aided engineering of power transmission and motion control systems

This paper deals with the modelling and simulation of aircraft systems, in particular for power transmission and control. It is intended to review, propose and disseminate best practices for making model-based/simulation-aided engineering more efficient at any phase of the system life cycle. The proposals are aimed at creating value, not only by increasing the performance of the product under study but also by shortening the time to market, capitalizing knowledge, mitigating risks and facilitating concurrent engineering. The needs associated with the engineering activities are firstly identified to define a set of requirements for the models. Then, these requirements are used to drive the considerations leading to model development, focusing in particular on the process, modelled physical effects, modelling level, model architecting and concurrent engineering. The third part deals with the model implementation, giving special consideration to the different types of models, causalities, parameterization, implementation and verification. Each part is illustrated by examples related to safety critical actuators.     

某型机舱门作动筒典型故障分析及改进

某型机舱门作动筒用于控制弹舱门的收放,外场使用过程中发生数起不同形式的故障,直接影响系统功能的实现。本文结合作动筒的工作原理,通过理论及受力分析,明确故障发生机理,并完成了设计改进研究,有效提高了产品性能。     

液压主轴的温度变化与超精密加工

分析了液压主轴的发热及其所带来的加工精度的变化,提出了超精密加工中消除其影响的措施。     

三体随动跟踪式重力卫星姿态与无拖曳控制方法

采用非接触洛伦兹力执行器代替微推进系统,提出一种“质量块—载荷舱—平台舱”三体随动跟踪式重力卫星总体架构,避免传统低低跟踪重力场测量卫星设计中的质心波动与执行机构带来的动力学不确定性影响。其次,建立了该架构下的卫星姿轨耦合动力学模型,并在此基础上针对动力学非线性耦合项的影响,构建了一种基于带宽参数化自适应补偿的复合自抗扰控制方法,提升姿态与无拖曳控制性能。最后,采用数学仿真验证了所提出的重力卫星总体架构及其控制方法的有效性。仿真结果表明,该方法有效提升了系统的频域性能。     

基于AMESim的往复作动活塞缸性能仿真研究

介绍了某介质联合供应系统,对其中的关键部件——往复作动活塞缸的工作原理进行了说明。建立该系统的仿真模型,模拟了不同介质时活塞缸的工作性能。仿真分析了出口负载、气瓶压力、泵出口压力对活塞缸性能的影响。仿真结果表明该系统可以正常工作,但需要在使用过程中正确匹配气瓶压力和泵出口压力。     

基于迭代学习的液压角振动台控制策略研究

液压角振动台是十分复杂的非线性系统,应用传统的控制系统设计方法很难满足其控制 要求。引入迭代学习控制算法的非线性控制策略,针对控制系统的稳定性以及迭代学习的收 敛性,提出复合迭代学习控制算法,并从频域角度给出其收敛性条件。将仿真结果与实验数 据进行对比分析,结果表明：系统压力12 MPa条件下,采用该方法角振动台内框具有20 Hz （峰—峰值0.4°）的正弦响应能力,且其相位滞后不超过10°,幅值误差不大于±10％, 验证了此控制策略的有效性。该复合迭代学习控制策略不仅拓宽了系统频带,而且改善了系 统输出对期望信号输入的跟踪精度,为液压角振动台的高性能实时控制开辟了新途径。
     

挠性板振动抑制的敏感器与驱动器优化配置

本文针对挠性板结构的主动振动控制问题，推导了悬臂板系统压电控制方程，利用方程的输入输出矩阵和板系统的固有特性（包括固有频率和结构阻尼比），给出一种压电敏感器/驱动器同位配置的优化方法。该方法根据每个敏感器/驱动器对相应模态的能观度/能控度的贡献大小，对板系统的每个驱动器输入到敏感器输出相应模态的范薮 进行适当加权后，得到模态范数矩阵，并由此利用2-范数和无穷-范数引出敏感器/驱动器可选位置的优化配置指标。     

大行程高精度微驱动系统的建模研究

通过模块化方法,分别对某压电陶瓷驱动的新型大行程、高精度微驱动器驱动部分、传动部分进行物理、数学建模,得到系统的传递函数,并通过matlab软件进行仿真计算,得出系统的开环伯德图,进行稳定性分析,为微驱动系统闭环控制研究提供理论基础。