A DoS Attacks Detection Aglorithm Based on Snort-BASE for Robotic Arm Control Systems

In response to the frequent safety accidents of industrial robots, this paper designs and implements a safety detection system for robot control. It can perform real-time security detection of robot operations on industrial production lines to improve the security and reliability of robot control systems. This paper designs and implements a robot control system based Snort-BASE for real-time online detection of DoS attacks. The system uses a six-degree-of-freedom robotic arm as an example, uses Snort to record the network communication data of the robot arm control system in real time, and filters the network traffic through self-defined rules, and then uses the BASE analysis platform to achieve security analysis of the network traffic. The solution verifies the effectiveness of online real-time detection of attacks and visualisation of attack records by designing simulated robotic arm and real robotic arm attack experiments respectively, thus achieving the security of network communication of the robot remote control system.

基于ARM的电阻炉炉温控制系统设计

在科学技术突飞猛进发展的背景下,现代工业生产中的电压、电流、开关量等都是重要的被控参数,在冶金制造业中,温度是器件生产过程中非常重要的物理参数,需要对各种加热炉的温度进行严格控制,对其温度变化进行实时监测,确保炉内温度满足制造器件的需求。电阻炉在金属热处理中具有较为广泛的应用,是进行金属锻压加热、烧结的重要工业设备。电阻炉温度控制多采用自动化控制系统,实现智能化管理,保证炉温的均匀度以及零件温度的均匀性,提高生产的可靠性和稳定性。从电阻炉温度控制的难点入手分析,结合电阻炉温度控制系统的设计原则,提出一种基于ARM处理器的电阻炉炉温控制系统设计方案,能够提高电阻炉温度控制的精度,保证工业生产的稳定性。

基于ARM架构柔性直流控制保护系统的低链路延时优化设计

基于进阶精简指令集机器(ARM)架构多核处理器芯片设计了柔性直流控制保护系统新一代平台,提出适用于柔性直流输电的4层控制系统通用架构,给出新平台控制保护主机配置方案及功能配置原则。建立换流器高频阻抗简化模型,推导得到负阻尼频率与控制链路延时的数学关系。分析柔性直流控制系统的链路延时构成,提出一种链路复用的在线延时测试方法;基于多核架构与高速接口,研究控制系统的低延时优化方案。最后,在基于实际工程参数的实时仿真系统中,对ARM架构新平台开展了功能和性能测试,并验证了低延时优化方案的有效性。

基于UARM的流水线激光雕刻系统

激光加工是工业制造中的重要加工方式之一,为了解决传统的激光加工设备由于设备成本高和操作复杂而产生的问题,则迫切需要研发设计一种高效低成本的激光加工系统。本文提出了一种基于UARM机械臂的流水线激光雕刻系统,该系统由激光模块、UARM机械臂和流水平台组成,共同实现对各种材料的高精度、高效率雕刻。基于UARM机械臂的流水线激光雕刻系统由的硬件和软件两个部分组成,其中包括UARM的机械设计、激光模块选取以及控制系统的撰写。同时展示了实验结果,证明了系统在不同材料上实现高质量雕刻的有效性,能体现出系统在产品标识和流水线雕刻加工方面具有广泛的工业应用潜力。

基于嵌入式ARM的微流控PCR检测系统设计

为了实现微流控设备功能的集成化、提高交互系统的可操作性,提出一种基于嵌入式ARM的微流控聚合酶链式反应(PCR)控制系统及上位机软件的设计方案。系统硬件采用多个嵌入式ARM控制器与功能模块相互协调,制定可扩展的通信机制和协议,实现微流控PCR检测过程中的流路运动、温度控制、荧光信号采集等功能的集成控制。采用Qt结合SQLite数据库设计了上位机软件,利用多线程和节点映射,实现对硬件模块的协调控制以及检测信息存储。实验表明:该系统运行稳定,人机交互效果好,可操作性高,满足微流控PCR的集成功能需求。

基于ARM的智能门开闭控制系统设计

传统开闭门控制系统一般通过相对角度传感器或光电传感器方式来完成开闭门动作。然而此系统在遇堵或电机失步情况下,往往会存在开闭门控制性能不理想,导致用户体验感较差。基于此,搭建了一款基于ARM单片机的智能门开闭控制系统,用于提高智能门的控制性能。该系统首先将陀螺仪传感器集成在门上获取门开闭角度值,然后根据磁编码器模拟角度变化计算门实际开闭角度值,最后根据动态对比分析矫正开闭门角度,实现智能门精准位置PID控制。通信上并入RS232接口、串口Wi-Fi、串口蓝牙等模块到智能门系统实现兼容性考虑。通过实际产品进行功能验证发现所提系统不仅提高了智能门的精度和安全,还提高了系统兼容性,具有一定开发价值。

基于ARM的分布式电源接入容量均衡控制系统

以控制分布式电源接入容量以及容量均衡为目的,设计一种基于ARM的分布式电源接入容量均衡控制系统。系统由上位机显示模块、ARM控制模块、下位机检测模块、均衡控制模块、保护报警模块等组成,采用以ARM Cortex-M3内核为核心的EXP-LM3S811 ARM微控制器,以实现分布式电源数据采集、自动保护、温度与下位机容量的均衡控制。构建最优接入容量计算模型,利用萤火虫算法对该模型进行求解,根据最优接入容量计算结果,利用均衡控制模块动态均衡控制分布式电源接入容量。应用结果显示,该系统信息传输误差和最优接入容量计算误差分别低于5μrad和0.5%,说明该系统可显著提升分布式电源接入容量均衡性,具有较强的实际应用价值。

基于ARM-STM32的智能消杀作业机器人平台及终端

本文介绍了一种基于STM32的智能消杀作业机器人,其核心部件包括智能无人车载底盘、消杀喷雾模块、红外体温监测模块、装载模块、无人机追踪模块和STM32单片机,可接收来自移动平台、专业控制设备等多种平台的控制指令。该机器人实现了对公共区域的远程监控及无人化自动作业,具有自主、智能、便捷、高效的优点,有效地解放了人力,提高了工作效率,降低了工作人员的感染风险,具有良好的使用前景。

基于ARM芯片的智能家居系统性能优化研究

文章以ARM芯片在智能家居系统中的应用为研究对象,对其性能优化进行深入探讨与分析。首先,对ARM架构进行概述,并分析其在智能家居中发挥的关键角色,同时讨论ARM芯片的性能特点。接着,构建智能家居系统的框架,明确系统组成、控制与通信协议及系统安全性需求。该文进一步提出性能评测指标,并从软件和硬件两个层面提出优化策略和技术,旨在提高系统整体性能。通过构建实验环境,采用实验证明方法验证优化效果,实验结果与数据分析表明本研究提出的优化方法能有效提升智能家居系统性能。文章最终总结性能优化在智能家居中的应用价值和实践意义。

A policy gradient algorithm integrating long and short-term rewards for soft continuum arm control

The soft continuum arm has extensive application in industrial production and human life due to its superior safety and flexibility. Reinforcement learning is a powerful technique for solving soft arm continuous control problems, which can learn an effective control policy with an unknown system model. However, it is often affected by the high sample complexity and requires huge amounts of data to train, which limits its effectiveness in soft arm control. An improved policy gradient method, policy gradient integrating long and short-term rewards denoted as PGLS, is proposed in this paper to overcome this issue. The shortterm rewards provide more dynamic-aware exploration directions for policy learning and improve the exploration efficiency of the algorithm. PGLS can be integrated into current policy gradient algorithms, such as deep deterministic policy gradient(DDPG). The overall control framework is realized and demonstrated in a dynamics simulation environment. Simulation results show that this approach can effectively control the soft arm to reach and track the targets. Compared with DDPG and other model-free reinforcement learning algorithms, the proposed PGLS algorithm has a great improvement in convergence speed and performance. In addition, a fluid-driven soft manipulator is designed and fabricated in this paper, which can verify the proposed PGLS algorithm in real experiments in the future.

基于ARM的纯电动农用车辆电机矢量控制研究

随着纯电动汽车市场越来越火爆,农业机器也开始采用纯电动电机驱动的方案。为此,介绍了纯电动农用车辆BLDCM电机的结构和数学模型,设计了一套基于ARM的纯电动农用车辆电机矢量控制系统和上位机软件。试验结果表明:上位机界面能够实时显示各个测试量的数值,可为农用车辆电机驱动控制系统测试提供直观结果,也证实了整个系统的稳定性和可靠性。

基于ARM-Linux的无人驾驶拖拉机自动导航控制系统

介绍了无人驾驶拖拉机整体框架,基于GNSS系统实现了拖拉机定位功能,并基于PID技术设计了拖拉机转向控制系统;然后,基于ARM-Linux设计了拖拉机导航控制系统的软硬件部分,实现了拖拉机转向的精准控制和自动导航。实验结果表明:无人驾驶拖拉机自动导航控制系统具有有效性和准确性,且转角误差在预期内,间接证明了拖拉机在出现横向偏差时,可以进行自适应调节。

Motor Imagery and Error Related Potential Induced Position Control of a Robotic Arm

The paper introduces an electroencephalography(EEG) driven online position control scheme for a robot arm by utilizing motor imagery to activate and error related potential(ErrP) to stop the movement of the individual links, following a fixed(pre-defined) order of link selection. The right(left)hand motor imagery is used to turn a link clockwise(counterclockwise) and foot imagery is used to move a link forward. The occurrence of ErrP here indicates that the link under motion crosses the visually fixed target position, which usually is a plane/line/point depending on the desired transition of the link across 3D planes/around 2D lines/along 2D lines respectively. The imagined task about individual link's movement is decoded by a classifier into three possible class labels: clockwise, counterclockwise and no movement in case of rotational movements and forward, backward and no movement in case of translational movements. One additional classifier is required to detect the occurrence of the ErrP signal, elicited due to visually inspired positional link error with reference to a geometrically selected target position. Wavelet coefficients and adaptive autoregressive parameters are extracted as features for motor imagery and ErrP signals respectively. Support vector machine classifiers are used to decode motor imagination and ErrP with high classification accuracy above 80%. The average time taken by the proposed scheme to decode and execute control intentions for the complete movement of three links of a robot is approximately33 seconds. The steady-state error and peak overshoot of the proposed controller are experimentally obtained as 1.1% and4.6% respectively.

基于ARM Cortex-M3内核的嵌入式运动控制箱的设计与实现

通过研究现有运动控制方案,发现常见的运动控制解决方案都要用到运动控制卡,成本较高,体积较大,不适合控制精度要求不太高、成本要求较高的运动控制场景。从ARM Cortex-M3为内核的32位微控制器、光电隔离接口电路、PWM信号调制、供电电源、软件设计5个方面进行设计,调试并实现一套具有更高性价比的嵌入式运动控制箱。该嵌入式微控制器经光电隔离接口电路读取外部数字化输入信号,经过嵌入式微控制器CPU处理,输出数字化信号和调制PWM信号,经光电隔离接口电路隔离转换,以控制伺服电机和外部其他设备。该运动控制箱成本低、功能强大、体积小,适用于对成本要求较高、对运动精度和难度要求不太高的场合。实际应用表明,该运动控制箱可实现4通道PWM输出、20通道的数字输入和16通道的数字输出,性能良好,性价比高,效果良好。

Arms Control and Non-Proliferation in East Asia: Grave Situation and Possible Dangers

In some sense, talking about arms control and non-proliferation at the present in East Asia seems unsuitable. Moreover, for the "hawkish" forces in the United States, who are more prominent now than other elements in influencing international politics in East Asia, as well as for those people within this broadly defined region.

WHITHER ARMS CONTROL?

International arms control and disarmament has recorded remarkable achieve-ments in recent years in the wake of rapproachment among major powers andoverall detente in the world at large. These remarkable achievements, in theirturn, have propelled the global situation further in the direction favorable to furtherrelaxation of global tension. These mutually reinforcing and supplementary trends,

Dynamics Modeling and Robust Trajectory Tracking Control for a Class of Hybrid Humanoid Arm Based on Neural Network

In order to solve the problem of trajectory tracking for a class of novel serial-parallel hybrid humanoid arm（HHA）, which has parameters uncertainty, frictions, disturbance, abrasion and pulse forces derived from motors, a multistep dynamics modeling strategy is proposed and a robust controller based on neural network（NN）-adaptive algorithm is designed. At the first step of dynamics modeling, the dynamics model of the reduced HHA is established by Lagrange method. At the second step of dynamics modeling, the parameter uncertain part resulting mainly from the idealization of the HHA is learned by adaptive algorithm. In the trajectory tracking controller, the radial basis function（RBF） NN, whose optimal weights are learned online by adaptive algorithm, is used to learn the upper limit function of the total uncertainties including frictions, disturbances, abrasion and pulse forces. To a great extent, the conservatism of this robust trajectory tracking controller is reduced, and by this controller the HHA can impersonate mostly human actions. The proof and simulation results testify the validity of the adaptive strategy for parameter learning and the neural network-adaptive strategy for the trajectory tracking control.

Robust control of a hydraulically driven flexible arm

A new robust controller is proposed to regulate both flexural vibrations and rigid body motion of a hydraulically driven flexible arm. The controller combines backstepping control and sliding mode to arrive at a controller capable of dealing with a nonlinear system with uncertainties. The sliding mode technique is used to achieve an asymptotic joint angle and vibration regulation in the presence of payload uncertainty by providing a virtual torque input at the joint while the backstepping technique is used to regulate the spool position of a hydraulic valve to provide the required torque. It is shown that there is no chatter in the hydraulic valve, which results in smoother operation of the system.

Anti-Windup Control Strategy of Drive System for Humanoid Robot Arm Joint

To address the problems of torque limit and controller saturation in the control of robot arm joint,an anti-windup control strategy is proposed for a humanoid robot arm,which is based on the integral state prediction under the direct torque control system of brushless DC motor. First,the arm joint of the humanoid robot is modelled. Then the speed controller model and the influence of the initial value of the integral element on the system are analyzed. On the basis of the traditional antiwindup controller,an integral state estimator is set up. Under the condition of different load torques and the given speed,the integral steady-state value is estimated. Therefore the accumulation of the speed error terminates when the integrator reaches saturation. Then the predicted integral steady-state value is used as the initial value of the regulator to enter the linear region to make the system achieve the purpose of anti-windup. The simulation results demonstrate that the control strategy for the humanoid robot arm joint based on integral state prediction can play the role of anti-windup and suppress the overshoot of the system effectively. The system has a good dynamic performance.

Electromyography Control of a Computer Model of the Arm

Human arm movements may be adversely affected in the event of stroke or spinal cord injuries, eventually causing the patient to lose control of arm movements. Electromyography (EMG) is con-sidered the most effective technique for the restoration of arm movement in such cases. The reha-bilitation period for such patients is usually long. Moreover, complex treatment techniques may demoralize them. Therefore, this study, attempts to contribute to the development of a relaxing rehabilitation environment through electromyography control of a computer model of the arm. The model is created using MATLAB? and Data LINK software and other requisite components for training the targeted participants to control their arm movements. Six male participants with no history of injury to the arms or back were selected using the set protocol. The results and data collected are analysed using three performance measures i.e. the number of target hits, average time to target, and path efficiency for each target. Then, the main results in terms of the obtained performance measures are discussed and compared with those of previous studies.