基于GPI观测器的Buck型变换器趋近律控制

针对Buck型变换器中存在的匹配和非匹配扰动,提出一种基于广义比例积分观测器(GPIO)和增强型变速趋近律的控制方法;首先,设计广义比例积分观测器来估计匹配和非匹配扰动,并将估计值引入控制器中进行前馈补偿;同时,构造了基于双曲正切型函数的变速趋近律,可以缩短系统状态的到达时间,并减小在滑动阶段的抖振现象,并与广义比例积分观测器结合,使系统具有良好的抗干扰性能和跟踪性能;最后,证明了观测器的收敛性和闭环控制系统的稳定性,并通过仿真验证该方法可以有效地抑制扰动带来的影响,提高整个系统的抗干扰性能。     

大学生负面评价恐惧、人际关系困扰与主观幸福感的关系研究

以569名大学生为被试,采用简明负面评价恐惧量表、大学生人际关系综合诊断量表及总体幸福感量表进行问卷调查,探讨负面评价恐惧对大学生主观幸福感的影响过程及人际关系困扰的中介作用机制。结果表明：负面评价恐惧女大学生得分显著高于男大学生,并存在显著年级差异;人际关系困扰总分及待人接物、异性交往两个因子男大学生得分显著高于女大学生,并在交际交友和异性交往两个因子上存在显著年级差异;大学生主观幸福感性别和年级差异不显著;负面评价恐惧与人际关系困扰总分及各因子呈显著正相关,与主观幸福感呈显著负相关;负面评价恐惧对主观幸福感有显著的直接效应,人际关系困扰在负面评价恐惧与主观幸福感之间起部分中介作用。     

Robustness of ISS systems to inputs with limited moving average: Application to spacecraft formations

We provide a theoretical framework that fits realistic challenges related to spacecraft formation with disturbances. We show that the input‐to‐state stability of such systems guarantees some robustness with respect to a class of signals with bounded average‐energy, which encompasses the typical disturbances acting on spacecraft formations. Solutions are shown to converge to the desired formation, up to an offset, which is somewhat proportional to the considered moving average of disturbances. In the presence of fast peaking perturbations, the approach provides a tighter evaluation of the disturbances' influence, which allows for the use of more parsimonious control gains. Copyright © 2015 John Wiley & Sons, Ltd.     

Supervised Multi‐Rejector of Periodic Disturbances for Nonlinear Systems Using Decoupled State Multimodel

In this paper, a multi‐rejector of periodic disturbances is proposed for discrete‐time nonlinear systems represented by a decoupled state multimodel. We report a decoupled state multimodel repetitive‐predictive control based on a supervised algorithm to ensure reference trajectory tracking and periodic disturbances rejection. Partial predictors associated to the local controllers make the best choice of the most valid partial controller that meets the desired closed loop performances. The effectiveness of the supervised multi‐rejector is shown via a simulation example. The obtained results are satisfactory and show a good rejection of periodic disturbances and reference trajectory tracking.     

Robust H∞ Tracking Control of Uncertain Robotic Systems with Periodic Disturbances

This paper addresses the problem of designing robust tracking control for a large class of uncertain robotic systems. A more general model of the external disturbance is employed in the sense that the external disturbance can be expressed as the sum of a modeled disturbance and an unmodeled disturbance, for example, any periodic disturbance can be expressed in this general form. An adaptive neural network system is constructed to approximate the behavior of unknown robot dynamics. An adaptive control algorithm is designed to estimate the behavior of the modeled disturbance, and in turn the robust H_∞ control algorithm is required to attenuate the effects of the unmodeled disturbance only. Consequently, an intelligent adaptive/robust tracking control scheme is constructed such that an H_∞ tracking control is achieved in the sense that all the states and signals of the closed‐loop system are bounded and the effect due to the unmodeled disturbance on the tracking error can be attenuated to any preassigned level. Finally, simulations are provided to demonstrate the effectiveness and performance of the proposed control algorithm.     

Dynamic disturbance rejection controllers for neutral time delay systems with application to a central heating system

In the present paper the problem of disturbance rejection of single input-single output neutral time delay systems with multiple measurable disturbances is solved via dynamic controllers. In particular, the general form of the controller matrices is presented, while the necessary and sufficient conditions for the controller to be realizable are offered. The proposed technique is applied to a test case neutral time delay central heating system. In particular, the nonlinear model of the plant and its linearized approximation are presented. Based on the linearized model, a two-stage controller is designed in order to regulate the room temperature and the boiler effluent temperature. The performance of the closed loop system is investigated through computational experiments.     

正弦波伏安法检测尿酸的研究

以玻碳电极为工作电极,利用正弦波伏安法在磷酸缓冲液中选择性检测尿酸.通过傅立叶变换比较了纯的磷酸缓冲液、尿酸和抗坏血酸的正弦波伏安法频域响应,进而发现在第5次谐波处选择性检测尿酸的可能.相比于传统的尿酸检测技术,该技术具有较高的信噪比,操作简单且无需对样品进行预处理.分析了玻碳电极表面抗坏血酸和尿酸的线性扫描响应,在不同扫描速率下两者的伏安图变化趋势相同.在裸玻碳电极表面,利用正弦波伏安法检测尿酸的检测限为1.0μmol/L,在250倍浓度的抗坏血酸共存时仍能利用第5次谐波选择性检测出尿酸.     

State predictive model following control system for linear time delays

In this paper, we propose a new state predictive model following control system （MFCS）. The considered system has linear time delays. With the MFCS method, we obtain a simple input control law. The bounded property of the internal states for the control is given and the utility of this control design is guaranteed. Finally, an example is given to illustrate the effectiveness of the proposed method.     

单极性SPWM逆变器并联环流分析与抑制

单极性正弦脉冲宽度调制SPWM（sinusoidal pulse width modulation）具有开关损耗低、效率高、输出波形良好的优点,然而在逆变器并联系统中,使用单极性SPWM方法可能引发环流,造成系统效率降低、电流波形畸变甚至器件损坏。对比采用4种不同单极性SPWM方法时并联系统的环流产生情况发现,只有双臂斩波单极性SPWM会引发环流,并从控制结构上分析了这一环流产生的原因。此外,针对使用双臂斩波单极性SPWM的情况,提出了一种不需要额外增加硬件成本的控制方法,可以避免在逆变器并联系统中引发环流。通过仿真与实验验证了该方法的可行性与有效性。     

一种基于深度学习的高轨卫星CEI信号频率估计算法

针对高轨卫星连线干涉测量(Connected Element Interferometry,CEI)信号的高精度频率估计这一难题,建立了CEI中的正弦信号频率估计模型。设计了基于深度学习框架的CEI信号频率估计算法,将算法划分为基于前馈深度神经网络的频率表征模块和基于卷积神经网络的频率计算及估计模块,在此基础上设计了各模块的具体结构和学习训练流程。对于算法的核心模块进行了仿真实验验证,并将所提算法与前人的相关算法进行了比较与分析,证明了该算法的有效性、稳定性和优越性。