MATLAB与Visual C++6.0混合编程的实现

针对MATLAB与VisualC^ 软件的各自编程优势，提出了一种将MATLAB中编译的，m函数文件生成可脱离MATLAB环境的动态连接库，然后在VC环境下开发应用程序界面并调用动态连接库，实现通过编译器将二者有效结合起来。     

IIP系统中动态协议模块的设计与实现

给出了一种有效的改进方案,通过将现有协议相关的实现从主程序中独立,放到动态连接库中实现。该方案中,每个协议的动态连接库只需要实现与自身协议相关的处理部分即可,通过协议管理类对各协议的操作进行调度,大大增强了IIP系统的可维护性、可扩展性及安全性,降低了系统研发和设计的难度。     

在Visual FoxPro中利用DLL实现硬件端口控制

本文介绍了在Ｖｉｓｕａｌ ＦｏｘＰｒｏ中利用动态连接库实现硬件端口控制，同时介绍了在Ｖｉｓｕａｌ Ｃ＋＋中如何建立动态连接库以及如何在Ｖｉｓｕａｌ ＦｏｘＰｒｏ中使用动态连接库的方法。     

在Lab VIEW中调用动态连接库实现与数据采集卡的数据交换

文章介绍了虚拟仪器的体系结构及其开发工具LabVIEW的特点 ,阐述了用VC ++编制Windows 32动态连接库实现驱动自制数据采集卡 ,并在LabVIEW中调用动态连接库实现Lab VIEW与数据采集卡间的实时数据交换的方法、步骤及需要注意的几个问题。     

基于DTW的长期直觉模糊时间序列预测模型

针对现有直觉模糊时间序列模型中直觉模糊关系组和确定性转换规则过度依赖训练数据规模的问题,提出一种基于动态时间弯曲（DTW, dynamic time warping）距离的长期直觉模糊时间序列预测模型。通过直觉模糊C均值（IFCM, intuitionistic fuzzy C mean）聚类构建直觉模糊时间序列片段库,动态更新和维护规则库,减少系统复杂度。提出基于DTW距离的直觉模糊时间序列片段相似度计算方法,有效解决不等长时间序列片段匹配问题。通过对合成数据以及包含不同时间序列模式的气温数据的实验,与其他相关模型比较,说明该模型对于不同时间序列趋势变化模式中均具有较高的预测能力,克服传统模型提高模型只能满足单一模式时间序列预测,提高模型的泛化性能。     

基于动态模型库的多模自适应预测控制

针对非线性复杂系统,提出了一种基于动态模型库的多模自适应预测控制方法.采用最小二乘支持向量机对非线性系统进行建模,对此模型进行线性化,并将此线性化模型加入到固定模型库中,对固定模型库进行动态更新;通过一定的选择机制,从固定模型库中选择出与当前时刻系统工作点较接近的部分模型构成一个动态模型库,并基于此动态模型库重构相应的控制器.仿真结果证明了该方法的有效性.     

IDSSRJ的多库动态交互集成模型

多库集成技术是当前开发智能决策支持系(IDSS)的关键技术之一。在智能雷达干扰决策支持系统(IDSSRJ)中,提出了一种应用动态数据交换(DDE)和动态连接库(DLL)技术来构建动态数据通讯通道,建立多库动态交互集成模型的方法,并详细介绍了这种多库动态交互集成技术。     

WDM疏导网络中的基于连接的动态恢复

针对WDM网络中单链路出错的生存性流量疏导问题,提出了一种基于连接的动态恢复机制(DRAC).DRAC不预留任何资源,当链路出错时,通过在网络中动态的发现资源来对错误进行恢复,将一个出错连接转发到一条新的多跳路径.仿真结果显示,提出的这种动态恢复机制拥有很高的恢复概率.     

城域光网络生存性的研究

从分析目前常用的网络保护和恢复方法出发,提出将路由算法引入到光网络保护中去:通过动态路由算法,网络动态计算源、宿节点间最佳工作路径.通过将虚连接引入面向连接的光网络,建立保护路径.在消除为工作路径预留独享资源的同时,简化了保护倒换流程,缩短了故障恢复时间,提高了网络资源利用率.     

一种递归模糊神经网络自适应控制方法

构造了一种递归模糊神经网络(RFNN),该RFNN利用递归神经网络实现模糊推理,并通过在网络的第一层添加了反馈连接,使网络具有了动态信息处理能力.基于所设计的RFNN,提出了一种自适应控制方案,在该控制方案中,采用了两个RFNN分别用于对被控对象进行辨识和控制.将所提出的自适应控制方案应用于交流伺服系统,并给出了仿真实验结果,验证了所提方法的有效性.     

精馏模糊解耦控制系统探究

本文介绍了精馏塔的精馏工艺,分析了精馏塔塔顶和塔底温度控制回路的耦合关系,提出了模糊解耦控制应用的必要性。针对精馏塔塔顶和塔底温度的控制特点,设计了一种双输入双输出模糊解耦控制系统,具体分析了系统中该模糊解耦控制器的结构以及模糊控制各环节的具体实现方法,应用Simulink对控制系统进行仿真研究,得到了较好的控制效果。     

Fuzzy Feedback Linearization Control for MIMO Nonlinear System and Its Application to Full-Vehicle Suspension System

The paper presents a novel fuzzy feedback linearization control of nonlinear multi-input multi-output (MIMO) systems for the tracking and almost disturbance decoupling (ADD) performances based on the fuzzy logic control (FLC). The main contribution of this study is to construct a controller, under appropriate conditions, such that the resulting closed-loop system is valid for any initial condition and bounded tracking signal with the following characteristics: input-to-state stability with respect to disturbance inputs and almost disturbance decoupling. The feedback linearization control guarantees the almost disturbance decoupling performance and the uniform ultimate bounded stability of the tracking error system. As soon as the tracking errors are driven to touch the global final attractor with the desired radius, the fuzzy logic control immediately is applied via a human expert’s knowledge to improve the convergence rate. One example, which cannot be solved by the previous paper on the almost disturbance decoupling problem, is proposed in this paper to exploit the fact that the tracking and the almost disturbance decoupling performances are easily achieved by the proposed approach. In order to demonstrate the applicability, this paper has investigated a full-vehicle suspension system.     

Balancing control of a unicycle robot with double gyroscopes using adaptive fuzzy controller

This paper presents a unicycle robot which utilizes the precession effect of a double-gyroscope for lateral balancing and designs an adaptive fuzzy controller to realize the balance control according to its dynamic model. The double gyroscope structure of the unicycle robot can eliminate the pitch angle interference caused by the precession effect and improve the robot's lateral anti-interference ability. An adaptive fuzzy controller is designed based on the dynamic equations of the unicycle robot to improve its robustness. The adaptive controller part improves the anti-interference ability of the unicycle robot, and the fuzzy controller part is used as decoupling controller to reduce the interference of coupling. Simulation and experimental results to verify the anti-interference ability and decoupling effect of the designed controller.     

Using fuzzy controller for improvement of power decoupling performance in PV systems

ABSTRACT

In photovoltaic systems in order to ensure the stable operation of the module, ripple value of the input voltage should be mitigated to a small value; for this purpose, the power decoupling circuit can be used. In this work, considering the four-switch-based power decoupling circuit developed, the conventional Proportional-Integral (PI) controller has been replaced with well-known fuzzy controller, which enjoys a wide range of control gain variation, both linear and nonlinear rules' capability, robustness and more flexibility. The operating modes of the circuit are addressed and accordingly the space state model is derived. Then, the proposed controller has been replaced and the performance of the system will be analysed. The power decoupling circuit along with the proposed controller is implemented by MATLAB/Simulink software. The simulation results show the ability of the proposed fuzzy controller to improve the performance of the system in comparison to the conventional PI controller. A deeper comparison of two controllers confirms that the system would experience more accuracy, faster response and lower total harmonic distortion (THD) in presence of the proposed fuzzy controller.     

隧道式微波加热温控算法研究与软件设计

在分析隧道式微波加热系统控制模型的基础上,研究了对各节炉腔微波磁控管功率控制的控制率,从理论上分析了隧道式加热系统的特殊性以及单输入单输出模糊自整定PID 控制算法在本系统中的限制。根据隧道式加热系统的强耦合性,在模糊自整定PID 控制算法的基础上引入了模糊解耦控制算法从而减弱消除系统变量间的耦合,使系统稳定性增加。并在已有的硬件平台上对控制软件的设计进行了讨论,重点考虑了软件的控制效果与控制效率。     

Design of a mixed fuzzy controller for multiple-input multiple-output systems

Multiple-input multiple-output (MIMO) systems usually have characteristics of nonlinear dynamics coupling. Therefore, the difficulty in controlling MIMO systems is how to overcome the coupling effects between the degrees of freedom. The computational burden and dynamic uncertainty associated with MIMO systems make model-based decoupling impractical for real-time control. This work develops a mixed fuzzy controller (MFC) to solve this problem and improve control performance. This study first designs a traditional fuzzy controller (TFC) from the viewpoint of a single-input single-output (SISO) system for controlling each degree of freedom of a MIMO system. Then, an appropriate coupling fuzzy controller is also designed according to the characteristics of the system’s dynamics coupling and incorporated into a TFC to compensate for coupling effects between the degrees of freedom. This control strategy can not only simplify the implementation problem of fuzzy control, but also improve control performance. The state-space approach for analyzing the stability of fuzzy control systems is applied to evaluate the stability and robustness of this intelligent mixed fuzzy controller. To verify the applicability of the proposed mixed fuzzy controller, this work presents a two-link robotic manipulator with a complex dynamic model for a MIMO system to evaluate the stability and robustness of the MFC by numerical simulation, and to examine the control performance by comparing the simulation results of the MFC with those of a TFC for this MIMO system.     

Fuzzy-PI-Based Direct-Output-Voltage Control Strategy for the STATCOM Used in Utility Distribution Systems

In this paper, the control strategy for the static synchronous compensator (STATCOM) used in utility distribution systems is investigated, and a novel fuzzy-PI-based direct-output-voltage (DOV) control strategy is presented. Based on power balancing principle and feedforward decoupling control, this novel DOV control strategy cannot only reduce the active and reactive current control loops of a conventional double-loop control strategy but also achieve the decoupling control to regulate dc-link voltage and maintain the voltages at the point of common coupling (PCC). In order to effectively improve the immunity capability of this novel DOV control strategy to the uncertainties in system parameters, two fuzzy PI controllers are separately employed to maintain the voltages at the PCC and to simultaneously regulate dc-link voltage. The validity and effectiveness of this novel control strategy for the STATCOM used in utility distribution systems have been verified by simulation results, and a scaled physical prototype rated at $pm$300 kVAr is also developed to test the STATCOM system.      

Design-for-testability for embedded delay-locked loops

This paper introduces a new approach to testing a basic analog-only delay-locked loop (DLL) that is embedded in a field-programmable gate array, an application specific integrated circuit, or a system-on-chip (SoC). Part of the DLL circuitry is duplicated and then connected to the DLL in a way that produces a replica of the control voltage. This shadow of the control voltage is used to measure the loop's response to a step in phase. The concept of test construct (TC) gain is introduced as a means of improving detectability. The benefit of the testing approach is demonstrated by injecting defects into the DLL and detecting them through the TC at the observation point.     

A fast-lock delay-locked loop architecture with improved precharged PFD

In this paper, a dual charge pump architecture for fast-lock delay-locked loop (DLL) is proposed and analyzed. The proposed fast lock DLL uses only one phase frequency detector (PFD) to perform dual path tuning and a lock control circuit to control the switching between the two path. An improved PFD is proposed to reduce the output jitter by reducing the one-shot pulse produced when the reference signal and feedback signal is in phase. The proposed DLL circuit is designed based on the Silterra 0.18-μm 1P6M CMOS process with a 1.8-V supply voltage. The active area of the proposed DLL circuit is 327.46 × 116.16 μm. An experimental chip was implemented and measured. The measurement results show that the proposed DLL has fast locking properties.     

稳定回路智能分区PID控制方案研究

目前工程上普遍采用经典PID控制方法对稳定回路进行控制。但是,由于非线性因素的存在,实际产品往往高频去耦指标较差。以某型系统结构为研究对象,不基于模型的辨识,在模糊PID的基础上,提出并设计了一种智能分区PID控制方案。通过Simulink仿真验证,与传统PID控制方法相比,智能分区PID控制方案对稳定回路的动态特性有明显的改善,对齿隙等非线性因素有很好的抑制能力。