空调水管道补偿器的合理设置

通过总结诸多工程中补偿器安装出现的问题,提出空调水管道补偿量计算、补偿器预拉伸量的计算,及解决内压推力对管道支架影响的措施.通过计算分析,提出了空调水管道合理设置补偿器的方法.     

前馈型低频非线性失真补偿器的仿真与实验

扬声器工作在大振幅时声信号中存在显著的非线性失真,该失真可通过常规非线性失真补偿技术减少.对一种基于反馈线性化理论的前馈型非线性失真补偿器进行了分析讨论,通过仿真得到了单个扬声器参数变化对补偿器性能的影响情况,并通过对扬声器样品的实验评估了补偿器的实际性能.实验结果表明,使用补偿器后扬声器声响应的低频部分谐波失真减少约...     

基于Hammerstein模型的MAF传感器的动态补偿研究

用Hammerstein模型表示具有动态非线性特性的汽车空气质量流量(MAF)传感器,所设计的动态非线性补偿器包括动态线性补偿器和静态非线性校正器.对动态标定实验装置中的阀门进行建模,阀门的阶跃响应作为传感器的激励信号.应用系统辨识法设计动态线性补偿器,应用反函数多项式拟合法设计静态非线性校正器.仿真结果表明,动态线性补偿器起到改善传感器动态性能指标的作用,静态非线性校正器可以保证校正后无失真的复现传感器的输入信号.同时,所设计的动态非线性补偿器具有良好的适应性,在传感器的不同幅值输入时,都起到了动态性能指标改善、稳态幅值无失真复现的作用.     

高温水一次性补偿器的原理及应用

高温水管网补偿器在青岛市开发区管网运行中出现的问题及解决方案,高温水一次性补偿器的原理,一次性补偿器在青岛市开发区高温水管网中的应用.     

飞机燃油伺服系统温度补偿器性能测试系统设计

针对飞机燃油伺服系统温度补偿器性能测试传统方法精度不高,效率低下的问题,根据温度补偿器的性能要求、技术条件,应用现代传感器技术、计算机辅助测试技术,设计出了一套温度补偿器性能测试系统,给出了该测试系统的总体设计方案,介绍了温度补偿器原理与测试系统的各个组成单元,如控制单元、检测台架、数据采集调理模块、控制模块、显示模块、数据传输模块等.该检测系统已经应用到飞机燃油伺服系统温度补偿器的测试中,人机界面友好,精确度和快速性都满足要求,而且只需要更换传感器或少量硬件即可测试其他的温度补偿器,具有良好的可移植性.     

套管式补偿器漏水的原因及对策

分析了套管补偿器的工作原理,结合工程实际中存在的问题,全面分析了套管式补偿器漏水的原因,并从安装和维护等方面提出了解决问题的措施.     

补偿器设计中鬼像定量仿真分析

针对定性分析方法无法彻底避免鬼像影响检测的现象,在理论分析的基础之上,提出补偿器鬼像定量仿真分析方法.借助光学分析软件,在设计阶段彻底避免鬼像影响检测,并结合实例,说明定性分析方法的局限性,验证定量仿真分析方法的有效性.该分析方法为补偿器的设计分析提供定量分析方法,提高了补偿器研制的成品率,提高了补偿检验精度,对高精度补偿检验技术具有重要意义.     

基于图像识别的波纹补偿器轴向尺寸检测方法

为了解决传统检测方法只能检测工业管道中波纹补偿器的整体轴向位移,而不能检测其相邻波纹之间轴向位移的问题(相邻波纹之间轴向位移变化不均匀,超出一定限度会导致波纹补偿器损坏),提出了一种基于图像识别的波纹补偿器轴向尺寸检测方法.首先,应用Sobel算子对经高斯滤波平滑处理后的波纹补偿器图像进行边缘检测,最大限度地保留原始图...     

70mm大画幅摄影机新型光学补偿器理论及实验研究

本文首先分析讨论了70mm大画幅光学补偿器所面临的主要问题,指出了现有各种光学补偿器作为大画幅补偿器时遇到的困难。第二部分提出了一种新型的输片轮内嵌旋转棱镜两次成象大画幅光学补偿器,该补偿器有效地解决了70mm大画幅所带来的问题。文中对该补偿器的参数计算及优缺点作了分析讨论。最后叙述了补偿器实验,在快门系数1/5,相对孔径D/f′为1/10时,画幅中心摄影分辩率为40对线/毫米。     

旋转式补偿器与波纹管补偿器的比较

旋转式补偿器与波纹管补偿器是当前热补偿的主要形式,本文通过旋转式补偿器与波纹管补偿器二种热补偿形式,对固定点的推力、设备费用、土建费用、工程费用的技术经济比较,阐明了旋转式补偿器是蒸汽管道工程热补偿的一种比较好的补偿元件,有着宽阔的工程应用和发展前景。     

Robust motion control design for dual-axis motion platform using evolutionary algorithm

This paper presents a new approach to deal with the dual-axis control design problem for a mechatronic platform. The cross-coupling effect leading to contour errors is effectively resolved by incorporating a neural net-based decoupling compensator. Conditions for robust stability are derived to ensure the closed-loop system stability with the decoupling compensator. An evolutionary algorithm possessing the universal solution seeking capability is proposed for finding the optimal connecting weights of the neural compensator and PID control gains for the X and Y axis control loops. Numerical studies and a real-world experiment for a watch cambered surface polishing platform have verified performance and applicability of our proposed design.     

Decentralized decoupling of multivariable control systems with unmodelled interaction

Abstract

This paper presents both state space and frequency domain approaches for the decentralized decoupling of multivariable control systems with unmodelled interaction. The controller has a configuration of two degrees of freedom. The nominal controller is tuned to satisfy the eigenvalue specification of the isolated single variable subsystem. The rejection of unmodelled coupling due to the connections or disconnections of other subsystems is controlled by the decentralized compensator. The method assumes that only local information is acquirable, no information from other subsystems and no interconnection parameters are required. This gives the convenience of single variable design for multi‐variable control applications. The decentralized compensator can also be used to improve the performance of the control system with unmodelled nonlinearity or parameter drifting. The stability of the control system with the decentralized compensator has been investigated. Two numerical examples are given to show the feasibility of the method.     

Fault-Tolerant Control of a CPG-Governed Robotic Fish

Fault tolerance is essential for the maneuverability of self-propelled biomimetic robotic fish in real-world aquatic applications. This paper explores the fault-tolerance control problem of a free-swimming robotic fish with multiple moving joints and a stuck tail joint. The created control system is composed of two main components: a feedback controller and a feedforward compensator. Specifically, the bio-inspired central pattern generator-based feedback controller is designed to make the robotic fish robust to external disturbances, while the feedforward compensator speeds up the convergence of the overall control system. Simulations are performed for control system analysis and performance validation of the faulty robotic fish. The experimental results demonstrate that the proposed fault-tolerant control method is able to effectively regulate the faulty robotic fish, allowing it to complete the desired motion in the presence of damage and thereby improving both the stability and the lifetime of the real robotic system.     

多轴振动试验控制的整型权函数法

研究了应用于多轴向多激励随机振动控制的H∞整型控制方法,并且针对在频响函数矩阵病态的频率点处,响应自谱和互谱超出工程预定参考谱目标的情况,分解设计了H∞整型加权矩阵,从而改进频响函数矩阵病态情况,并对系统进行算法解耦。然后用整型矩阵对驱动信号的傅氏谱进行修正,进入控制回路迭代运算。实验验证表明,用文中算法设计整型权函数矩阵并修正驱动信号,可以有效的改善响应自谱和互谱的控制效果,抑制某些频率点处频响函数的不良影响。     

An alternative update formula for non-linear model-based iterative learning control

The conventional iterative learning control (ILC) algorithm for model-based ILC of non-linear systems is presented with the use of a non-linear inverse model as ILC compensator. The non-linear inverse model is solved with stable inversion. In addition, an alternative ILC algorithm for model-based ILC of non-linear systems is developed, also with using a non-linear inverse model as ILC compensator. Some connections between the conventional and alternative ILC algorithms and Picard, Mann and Ishikawa iterations are explored. The conventional and alternative algorithms are compared in a number of theoretical examples.     

Compensation Scheme of Position Angle Errors of Permanent-Magnet Linear Motors

The position angle is very important in the current control of permanent-magnet linear motors (PMLMs), and its error affects the control precision of currents. However, the position angle is often not accurately detected because of faults in motor making, pulse loss of linear encoders, and so on. In order to precisely control the currents of PMLMs, a compensation scheme of position angle errors is proposed based on the mathematical relation between position angle errors and currents. In the scheme, a position angle error compensator is designed to compensate the position angles detected by linear encoders. Furthermore, a filter and a class of iteration learning algorithm are proposed to avoid the errors produced by detected phase currents and phase voltages. Simulation results show that position angle errors of PMLMs are fully compensated. Using the designed position angle error compensator, currents can be controlled in a more precise manner.     

误差白化与Kalman滤波的微硅加速度传感器动态补偿

通过模型参考的系统辨识方法建立微硅加速度传感器的动态补偿器。由于测量噪声和补偿器对传感器的频带扩展,使得补偿器的输入/输出信号存在严重的噪声干扰。在噪声干扰下,采用均方误差为代价函数的系统辨识方法,无法得到补偿器参数的无偏估计。补偿器参数的偏差和传感器频带的扩展将会使补偿器的输出信号出现严重失真和高频噪声干扰。为解决噪声对硅加速度传感器的动态补偿的影响,研究了一种新的动态补偿方法,该方法采用误差白化为代价函数的系统辨识方法得到补偿器的参数,可消除补偿器的参数在估计中的测量噪声影响,并通过卡尔曼实时滤波减小因传感器频带扩展所产生的高频噪声干扰。     

Stabilization and synchronization of 5-D memristor oscillator using sliding mode control

ABSTRACT

This article presents a control design method for asymptotic stabilization, synchronization, and antisynchronization of a five dimensional chaotic memristor oscillator system. Two cases are considered: (i) with known parameters, (ii) and with unknown parameters. When a system’s parameters are known, then controllers are designed using sliding mode approach and when system’s parameters are unknown then controllers are devised using adaptive integral sliding mode control method. Hurwitz surfaces are constructed in both approaches. To employ the integral sliding mode, firstly, the system is transformed into a special structure containing a nominal part and some unknown terms computed adaptively. Then, the system is stabilized using integral sliding mode control. The stabilizing controller, consisting of the nominal control plus some compensator control, is then designed. The compensator controller and the adapted laws are derived in such a way that the time derivative of a Lyapunov function becomes strictly negative. The effectiveness of the proposed scheme is tested through computer simulation.     

基于模型参考和微粒群算法优化的传感器动态补偿方法

提出了一种基于微粒群（PSO）算法优化的传感器动态误差补偿器的设计方法。无需事先已知系统的动态特性,可根据传感器以及参考模型对输入激励响应的实测数据,通过PSO算法的优化学习得到补偿器的参数。传感器的输出经过补偿器后,能够克服由传感器动态特性引起的测量误差。最后,通过实验验证了该方法的有效性。     

Broadband phase and intensity compensation with a deformable mirror for an interferometric nuller

Nulling interferometry has been proposed for the direct detection of Earth-like planets. Deep stable nulls require careful control of the relative intensity and phase of the beams that are being combined. We present a novel compensator, the Adaptive Nuller, that corrects the intensity and phase as a function of wavelength from 8 to 12 microm using a deformable mirror. This compensator has been used to produce rejection ratios of 82,000:1 over a bandwidth of 3.2 microm centered around 10 microm.