基于USB2.0的边界扫描测试控制器的设计

边界扫描测试技术是目前一种主流的可测性设计方法,它用特有的结构和检测方法克服了复杂数字电路板测试的技术障碍,深入研究了IEEE1149.1边界扫描标准,文章针对传统的边界扫描测试控制器的接口复杂度高,边界扫描测试控制器硬件复杂、成本高的缺点,提出了一种基于USB2.0接口的边界扫描测试控制器设计方案,设计USB接口电路及驱动程序;测试结果表明,该测试控制器产生的测试信号符合IEEE1149.1标准。同时该控制器具有硬件结构简洁,使用灵活,有较高的性价比的特点,有较好的应用前景。     

浅谈音频切换器及操作注意事项

简单介绍了音频切换控制器的基本原理和使用功能,对相关参数、工作性能以及该控制器的操作方法做了介绍,并根据操作经验总结了该音频切换器使用过程中的一些注意事项及要求。     

可编程序控制器在液体混合搅拌器中的应用

介绍了可蝙程序控制器在一种液体混合搅拌装置中的应用,给出了输入输出表,搅拌控制系统的梯形图,命令程序表,使用结果表明该系统的运行情况良好。     

节能安全型路灯控制技术的研究与应用

通过对目前普通路灯控制器在使用中存在问题的研究,提出将微电子和网络控制技术应用到新型控制器中,达到节能和安全控制的目的。     

可编程序控制器在液体混合搅拌器中的应用

介绍了可蝙程序控制器在一种液体混合搅拌装置中的应用,给出了输入输出表,搅拌控制系统的梯形图,命令程序表,使用结果表明该系统的运行情况良好。     

一种基于子空间辨识的预测控制器设计及其性能评价方法

在模型预测控制器的设计过程中模型辨识和控制器设计是两个独立的步骤：传统的LQG基准需要一个解析的参数模型来设计LQG控制器．并将其应用到实际过程中才能计算性能评价基准。为了在控制器投入实际应用之前,同时实现控制器的设计和性能评价基准的构造,本文提出一种基于子空间辨识的预测控制器设计及性能评价方法。该方法仅依赖过程历史输入输出数据,利用子空间辨识得到的子空间矩阵,设计预测控制器和构造性能评价指标。最终,在一个统一的框架下实现了预测控制器的设计和性能评价。针对Wood—Berry过程的仿真研究验证了该方法的可行性和有效性。     

关于智能控制在换热站供热控制系统中的应用探讨

本文主要针对智能控制在换热站供热控制系统中的应用问题进行分析,在讨论换热站自控系统功能设计与分析的基础上,重点落实换热站节能控制问题,经过检验,该系统具有该系统具有较高的可靠性,可编程控制器配置灵活,值得进一步推广使用。     

新型电动车用SRM控制器的散热设计

本文根据开关磁阻电机应用在电动汽车上的特点,进行了一种新型的开关磁阻电机控制器的结构设计,该控制器较之以往的同类产品体积更小,重量更轻。本文还对该控制器进行了散热设计。经过计算验证,该控制器结构散热良好,满足长期稳定工作的要求。     

发电厂含煤废水处理控制系统的设计和应用

介绍了发电厂的含煤废水处理自动控制系统的网络结构、硬件配置、系统使用、软件编程及其设计和应用。该控制系统采用工业控制计算机作为上位机,可编程控制器(P L C)为基本控制级,P L C和工控机之间采取以太网通讯。     

KMM控制器在电阻炉熔穴功率调节系统中的应用

本文介绍了使用KMM控制器实现硅酸铝耐火纤维生产电阻炉熔穴部分的功率控制。应用实践表明,KMM控制器用于硅酸铝耐火纤维的生产电阻炉的功率控制对稳定产量和提高产品质量起到了良好的作用。     

基于铂电阻的自动加热控制系统设计

文章介绍了一种实用的自动加热控制系统,采用低功耗,低成本的单片机ATMEGA48作为主控芯片,基于铂电阻的电阻率会随温度的变化而变化的测温原理进行测温,主控芯片根据实时测出的温度自动的控制加热棒的通断,从而使被加热的物体加热到预设的温度。     

智能车载酒精检测及控制器设计

本文介绍了一种基于单片机低功耗酒精检测控制器,该控制器采用酒精传感器、压力传感器、语音报警、电子锁等与汽车组成车载酒精检测及安全控制系统。该系统可分为两部分:一个为检测部分,可手持,另一个为控制部分,安装于车内,从而实现智能车载酒精检测及安全控制。由于该系统具有高灵敏度和低功耗的功能,因此具有较高的实用价值。     

Predictor-based optimal robust guaranteed cost control for uncertain nonlinear systems with completely tracking errors constraint

In this paper, a novel composite controller is proposed to achieve the prescribed performance of completely tracking errors for a class of uncertain nonlinear systems. The proposed controller contains a feedforward controller and a feedback controller. The feedforward controller is constructed by incorporating the prescribed performance function (PPF) and a state predictor into the neural dynamic surface approach to guarantee the transient and steady-state responses of completely tracking errors within prescribed boundaries. Different from the traditional adaptive laws which are commonly updated by the system tracking error, the state predictor uses the prediction error to update the neural network (NN) weights such that a smooth and fast approximation for the unknown nonlinearity can be obtained without incurring high-frequency oscillations. Since the uncertainties existing in the system may influence the prescribed performance of tracking error and the estimation accuracy of NN, an optimal robust guaranteed cost control (ORGCC) is designed as the feedback controller to make the closed-loop system robustly stable and further guarantee that the system cost function is not more than a specified upper bound. The stabilities of the whole closed-loop control system is certified by the Lyapunov theory. Simulation and experimental results based on a servomechanism are conducted to demonstrate the effectiveness of the proposed method.     

基于AT89S51单片机的机动车灯光控制器设计

文章介绍一款基于AT89S51单片机的机动车灯光控器的设计原理,给出了程序以及proteus软件仿真的方法。该控制器由AT89S51单片机、LCD灯、按键开关等组成,采用AT89S51单片机作为控制芯片,通过相关程序编写实现汽车灯光系统控制。该控制器具有程序短小、成本低、性能可靠、通用性好、用途广泛等优点,在此电路基础上只需进行简单接口电路,便能满足用户的需求。     

融合函数在模糊控制器设计中的应用

为了解决多变量系统模糊控制器规则组合爆炸问题,提出了一种基于融合函数的多输入模糊控制器设计方法,以降低模糊控制器的输入变量维数,简化多输入模糊控制器的设计过程,有效地处理多变量问题.二级倒立摆系统控制实例证明了该方法的可行性和鲁棒性.     

A control algorithm for systems with dead time

A least squares control algorithm for single-input single-output (SISO) systems is developed. The algorithm allows for a delay with large dead time and uses proportional- integral-derivative actions in their parallel form to achieve steady-state without error. Optimization of the controller parameters is achieved and the parameters of the controller are determined from the solution of a set of linear simultaneous equations. The control strategy is to optimize the controller parameters such that a desired well-behaved trajectory is obtained. The controller is shown to be robust and the algorithm is shown to function as well without or with large dead time, to have low sensitivity to changes in the dead time, and to allow an adaptive estimation of changing system parameters. The application of the developed algorithm to control the glucoregulatory system, based on a 4th-order digital model, is presented in two cases: free time delay and with large dead time.     

钢化玻璃生产线中温度的模糊控制

在钢化玻璃生产过程中,加热炉具有严重的非线性及较大的时间滞后性,传统的控制方法难以达到要求的精度,从而难以取得较好的控制效果。本系统采用模糊控制技术,结合传统PID算法,设计Fuzzy-PI控制器,从而实现加热段温度的自动控制。     

一种基于ARM的以太网串口服务器的设计

本文提出了一种低成本、高性能的以太网串口服务器的软硬件设计方案。该服务器以Cortex-M3的芯片STM32F107VCT6为核心控制器,采用DP83848CVV以太网控制器处理网络数据,使用通信串行接口RS-232传输数据。同时,将TCP/IP协议移植到uCO/OS-III实时操作系统中,并用嵌入式系统建立实时多任务,使串口服务器能够以TCP/UDP模式在网口和串口端进行相互通信。研究证明,本服务器能实时、稳定地传输数据,并可以与设置好IP地址的网页进行相应数据的通信。     

A simple structure robust attitude synchronization with input saturation

The attitude synchronization problem of multiple spacecraft is investigated in this paper. A simple cooperative control law, which can render spacecraft formation synchronized to a time-varying reference trajectory globally in the presence of model uncertainties, external disturbances and input saturation, is proposed. The globally asymptotic stability of the controller in the presence of model uncertainties and external disturbances is proven rigorously through a three-step proof technique. The controller can be used in orbit without modification due to its low computational complexity. Then, the proposed controller is extended to solve the consensus problem for multiple inertial agents with double-integrator dynamics. Finally, Numerical simulations are included to demonstrate the effectiveness of the developed controller.     

Master–slave chaos synchronization using adaptive TSK-type CMAC neural control

In this paper, an adaptive TSK-type CMAC neural control (ATCNC) system via sliding-mode approach is proposed for the chaotic symmetric gyro. The proposed ATCNC system is composed of a neural controller and a supervisory compensator. The neural controller uses a TSK-type CMAC neural network (TCNN) to approximate an ideal controller and the supervisory compensator is designed to guarantee system stable in the Lyapunov stability theorem. The developed TCNN provides more powerful representation than the traditional CMAC neural network. Moreover, all the control parameters of the proposed ATCNC system are evolved in the Lyapunov sense to ensure the system stability with a proportional–integral (PI) type adaptation tuning mechanism. Some simulations are presented to confirm the validity of the proposed ATCNC scheme without the occurrence of chattering phenomena. Further, the proposed PI type adaptation laws can achieve faster convergence of the tracking error than that using integral type adaptation laws in previous published papers.