并行测试系统中不同仪器总线的同步触发研究

并行测试技术已成为未来测试领域的主要研究对象,而并行测试的最终目的是在完成同等测试的情况下,尽可能使用最少的测试时间和测试资源。在确保高精度同步触发的前提下,采用多种测试仪器对不同种类的测试信号同时并发测试是实现并行测试的一种理想方法。根据并行测试系统实际要求的不同,可采用LXI(LAN Extensions for Instrumentation)硬件触发总线机制、基于LAN同步的触发机制和基于IEEE1588精确时间协议的同步机制。通过测试前的触发信号延时校准调节,这三种触发方式的触发精度可以有很大提高。     

永磁同步电机多步模型预测电流控制球形编码研究

传统多步模型预测电流控制遍历所有开关序列, 并寻求成本函数最小, 使得运算量较大. 球形编码算法将成本函数转换为开关序列对应的矩阵二范数平方, 并采用事件触发机制动态精简计算量. 仿真结果表明: 基于球形编码的多步模型预测电流控制性能良好, 与传统方法完全等价, 控制效果相当. 基于STM32H743单片机平台, 球形编码和传统方法单控制周期执行时间实验结果表明: 对于多步预测, 球形编码算法可减少单控制周期执行时间, 2步预测减小至96.78%, 3步预测减小至87.99%, 4步预测减小至73.41%, 5步预测减少至63.63%, 在控制性能与传统方法相当的条件下, 提高系统实时性能     

一种带有自适应增益控制的激光雷达模拟前端

为了处理宽动态范围的激光脉冲回波信号,设计了一种带有自适应增益控制技术的模拟前端。通过分段调节跨阻放大器的跨阻增益,实现了在1 μA~1 mA范围内输入电流与输出电压近似线性的关系。提出了自触发使能方法,可以在没有外部清零信号的情况下连续接收回波信号。提出了一种新型差分移位时刻鉴别电路,能有效减小行走误差。电路采用0.11 μm CMOS工艺设计,后仿真结果表明,-3 dB带宽为530 MHz,最大跨阻增益为103 dBΩ,等效输入噪声电流谱密度为6.47 pA·Hz-1/2@350 MHz,输入动态范围为60 dB,功耗小于100 mW。该模拟前端电路设计适用于飞行时间脉冲激光雷达。     

不确定系统的事件触发控制: 近似解输入法

针对一类不确定非线性系统的事件触发控制问题,提出了一种近似解输入法的控制策略.首先,对非线性系统进行线性化处理,以便于构造系统的近似解.其次,根据确定线性系统解析解的定义,利用系统矩阵和采样信号信息,逐段地构造不确定非线性系统的近似解.将测量误差定义为系统当前状态与近似状态之间的差,构造事件触发条件和控制器,并建立相关的稳定性判据.本文证明了所提此方法可有效避免Zeno现象,并将其推广到动态触发控制方案,得到进一步提高的结果.最后,通过仿真对比验证了本文方法的有效性.     

除氧器故障自诊断专家系统设计与研发

提出了一种基于传统报警方式触发的电站故障自诊断专家系统.以除氧器为诊断对象,采用报警状态信息触发专家推理过程,利用实时征兆以及规则库进行故障类型的有效实时诊断.现场测试表明,诊断结果准确,且具有一定的容错性.     

Cuk变换器获得输出回路电流低纹波的方法

给出了Cuk变换器获得输出回路电流低纹波的条件,提出了一种易实现精确调整的磁路结构,研究了调整方法,实验证明方案正确,调整方法简单实用。     

无源传感器对雷达目标指示中触发准则研究

针对多传感器协同跟踪中无源传感器对雷达的目标指示问题进行了深入分析,重点研究了目标的指示交接需求及其触发机制.分析了协同跟踪中的目标指示交接需求,同时依据无源与有源传感器协同特性建立顺序处理结构的多传感器融合跟踪模型.在此基础上,采用协方差控制思想设定无源传感器对雷达的目标指示触发准则.通过仿真对触发准则进行了验证,并讨论了目标指示触发时机的影响因素,确保传感器间的目标指示能够自发进行.     

A Lyapunov‐based small‐gain approach on design of triggering conditions in event‐triggered control systems

This paper studies a Lyapunov‐based small‐gain approach on design of triggering conditions in event‐triggered control systems. The event‐triggered control closed‐loop system is formulated as a hybrid system model. Firstly, by viewing the event‐triggered control closed‐loop system as a feedback connection of two smaller hybrid subsystems, the Lyapunov‐based small‐gain theorems for hybrid systems are applied to design triggering conditions. Then, a new class of triggering condition, the safe, adjustable‐type triggering condition, is proposed to tune the parameters of triggering conditions by practical regulations. This is conducive to break the restriction of the conservation of theoretical results and improve the practicability of event‐triggered control strategy. Finally, a numerical example is given to illustrate the efficiency and the feasibility of the proposed results. Copyright © 2015 John Wiley & Sons, Ltd.     

Adaptive event‐triggered control for nonlinear discrete‐time systems

This paper focuses on the analysis and the design of event‐triggering scheme for discrete‐time systems. Both static event‐triggering scheme (SETS) and adaptive event‐triggering scheme (AETS) are presented for discrete‐time nonlinear and linear systems. What makes AETS different from SETS is that an auxiliary dynamic variable satisfying a certain difference equation is incorporated into the event‐triggering condition. The sufficient conditions of asymptotic stability of the closed‐loop event‐triggered control systems under both two triggering schemes are given. Especially, for the linear systems case, the minimum time between two consecutive control updates is discussed. Also, the quantitative relation among the system parameters, the preselected triggering parameters in AETS, and a quadratic performance index are established. Finally, the effectiveness and respective advantage of the proposed event‐triggering schemes are illustrated on a practical example. Copyright © 2016 John Wiley & Sons, Ltd.     

Input‐output triggered control using ‐stability over finite horizons

This paper investigates stability of nonlinear control systems under intermittent information. Following recent results in the literature, we replace the traditional periodic paradigm, where the up‐to‐date information is transmitted and control laws are executed in a periodic fashion, with the event‐triggered paradigm. Building on the small gain theorem, we develop input–output triggered control algorithms yielding stable closed‐loop systems. In other words, based on the currently available (but outdated) measurements of the outputs and external inputs of a plant, a mechanism triggering when to obtain new measurements and update the control inputs is provided. Depending on the noise in the environment, the developed algorithm yields stable, asymptotically stable, and ‐stable (with bias) closed‐loop systems. Control loops are modeled as interconnections of hybrid systems for which novel results on ‐stability are presented. The prediction of a triggering event is achieved by employing ‐gains over a finite horizon. By resorting to convex programming, a method to compute ‐gains over a finite horizon is devised. Finally, our approach is successfully applied to a trajectory tracking problem for unicycles. Copyright © 2014 John Wiley & Sons, Ltd.