Full-order observer-based actuator fault detection and reduced-order observer-based fault reconstruction for a class of uncertain nonlinear systems

This paper considers observer-based actuator fault detection and reconstruction problems for uncertain nonlinear systems. Based on a kind of full-order observer which is robust to disturbances but sensitive to actuator faults, a single detection observer is constructed to produce a residual which can be used to alarm the occurrence of the actuator faults when at least one actuator fault occurs indeed. The full-order observer is adaptive one because an adaptation law which can adjust the Lipschitz constant of Lipschitz term is introduced. For this reason, the Lipschitz constant can be unknown in our design. After this, a kind of reduced-order observer is developed by choosing a special observer gain matrix. Based on the reduced-order observer, we provide a kind of unknown information estimating method which can be used to not only reconstruct the actuator faults but also estimate the disturbances of the system. In simulation, a real model of the seventh-order aircraft is used to illustrate the effectiveness of the proposed methods.     

TLE7810特有的SBC低功耗设计方法

低功耗要求是嵌入式系统设计中普遍提出的要求,对提高系统的可靠性与稳定性有着重要意义。首先分析了单片机功耗的主要来源,然后研究了Infineon TLE7810单片机的低功耗设计方案,最后以电动车窗控制器为例介绍了TLE7810低功耗设计方案的具体应用。     

嵌入式Linux中基于Qt／Embedded的键盘接口设计

采用S3C2440处理器和嵌入式Linux操作系统,选择目前比较常用的Qt／Embedded作为图形界面的开发语言,设计了嵌入式系统中的键盘接口。在介绍硬件平台的基础上,给出了嵌入式Linux下键盘设备驱动程序的工作过程及实现方法,简单介绍了Qt／Embedded的架构和字符输入策略,详细设计了Qt键盘驱动插件和应用程序。实验表明,键盘驱动采用Qt的插件系统,具有更好的独立性和移植性。     

A bandpass filter with adjustable bandwidth and predictable transmission zeros

In this article, a microstrip bandpass filter with an adjustable bandwidth and predictable transmission zeros is proposed. The proposed filter is implemented by combining two hairpin edge‐coupled resonators with interdigital capacitors. Compared to typical edge‐coupled filters, the proposed filter provides a wider bandwidth resulting from a higher coupling strength between its resonators. To further increase the coupling and consequently the bandwidth, a pair of etched slots in the ground plane is used. By adjusting the geometrical parameters of the interdigital capacitors and etched slots, the bandwidth can be easily adjusted. The filter features two transmission zeros, which are determined by means of the semi‐analytical model developed as part of this work. Furthermore, the proposed filters can be cascaded to obtain a sharper cutoff frequency response. Frequency responses of the filters from measurements are in good agreement with those simulated using IE3D in the 5–9 GHz range. © 2009 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010.     

Skew detection in document images based on rectangular active contour

The digitalization processes of documents produce frequently images with small rotation angles. The skew angles in document images degrade the performance of optical character recognition (OCR) tools. Therefore, skew detection of document images plays an important role in automatic document analysis systems. In this paper, we propose a Rectangular Active Contour Model (RAC Model) for content region detection and skew angle calculation by imposing a rectangular shape constraint on the zero-level set in Chan–Vese Model (C-V Model) according to the rectangular feature of content regions in document images. Our algorithm differs from other skew detection methods in that it does not rely on local image features. Instead, it uses global image features and shape constraint to obtain a strong robustness in detecting skew angles of document images. We experimented on different types of document images. Comparing the results with other skew detection algorithms, our algorithm is more accurate in detecting the skews of the complex document images with different fonts, tables, illustrations, and layouts. We do not need to pre-process the original image, even if it is noisy, and at the same time the rectangular content region of a document image is also detected.     

Comparison of two novel MRAS based strategies for identifying parameters in permanent magnet synchronous motors

Two model reference adaptive system (MRAS) estimators are developed for identifying the parameters of permanent magnet synchronous motors (PMSM) based on the Lyapunov stability theorem and the Popov stability criterion, respectively. The proposed estimators only need online measurement of currents, voltages, and rotor speed to effectively estimate stator resistance, inductance, and rotor flux-linkage simultaneously. The performance of the estimators is compared and verified through simulations and experiments, which show that the two estimators are simple, have good robustness against parameter variation, and are accurate in parameter tracking. However, the estimator based on the Popov stability criterion, which can overcome parameter variation in a practical system, is superior in terms of response speed and convergence speed since there are both proportional and integral units in the estimator, in contrast to only one integral unit in the estimator based on the Lyapunov stability theorem. In addition, the estimator based on the Popov stability criterion does not need the expertise that is required in designing a Lyapunov function.     

Fire detection based on hidden Markov models

In this paper, a novel method of real-time fire detection based on HMMs is presented. First, we present an analysis of fire characteristics that provides evidence supporting the use of HMMs to detect fire; second, we propose an algorithm for detecting candidate fire pixels that entails the detection of moving pixels, fire-color inspection, and pixels clustering. The main contribution of this paper is the establishment and application of a hidden Markov fire model by combining the state transition between fire and non-fire with fire motion information to reduce data redundancy. The final decision is based on this model which includes training and application; the training provides parameters for the HMM application. The experimental results show that the method provides both a high detection rate and a low false alarm rate. Furthermore, real-time detection has been effectively realized via the learned parameters of the HMM, since the most time-consuming components such as HMM training are performed off-line.     

Linking denotational semantics with operational semantics for web services

Web Services have become more and more important in these years, and BPEL4WS (BPEL) is a de facto standard for the web service composition and orchestration. It contains several distinct features, including the scope-based compensation and fault handling mechanism. The denotational semantics and operational semantics have been explored for BPEL. The two semantic models should be consistent. This paper considers the linking of these two semantics. Our approach is to derive the denotational semantics from operational semantics for BPEL, which aims for the consistency of the two models. Moreover, the derivation can be applied in exploring the program equivalence easily, especially for parallel programs.     

基于主从多机通信的机器人控制系统开发

为了实现对机器人的实时控制,要求主控制器与各个感应机构和执行机构之间高效稳定的通信;对机器人控制系统的开发,需要设计一种满足实时性和高效性要求的多机通信系统;控制系统采用二级分布式结构,主控制器作为上位机,各传感器和电机内置的微处理器作为下位机;基于AVR单片机的主从多机通信方式,利用半双工的异步串行方式通信;这种数字化的通信方式具有高效,稳定的优点,可以大大简化控制程序的开发;实验证明,应用这种控制系统的小型机器人具有灵活性高、开发周期短且稳定性高的特点.     

废气生物处理装置的远程监控系统

为有效控制污水处理设施的恶臭污染问题,设计了一种废气处理装置的监控系统;下位机采用西门子S7-300PLC,运用STEP7编程软件编制了现场PLC控制程序;上位机选用工控机,采用WinCC组态软件对上位机监控功能进行组态,实现现场数据实时记录和监控,并利用WinCC全局脚本开发了模糊自适应PID控制算法,实现了对生物滴滤池循环水pH值的模糊自适应PID控制;实际应用结果表明,该控制系统响应速度快、超调量小,大大改善了pH中和过程的控制效果.