The Application of Principle of Automatic Control in the site Management of Electric Power Construction Enterprise

It is need to establish site project department during the construction of electric power project.The head office should design and build the main structure,continually improve structure of project department,meantime,positively apply principle of automatic control to improve the site management of electric power construction.In this article,the application strategy of principle of automatic control is analyzed focusing on the site work of electric power construction.

Mathematical model of electric hydraulic and powered support control system at a plough mining face

Given the actual working of a fully mechanized plough at a mining face, we have proposed a formula for running constraints between powered supports and a coal plough under assumed geological conditions of the coal face and, on this basis, established an automatic control model of powered supports for the coal plough face. We introduced the working principle of the powered support control system of the plough at the mining face. We established three advanced characteristics of this control system： response speed, reliability and easy maintenance of the system. As well, we briefly introduced, the principal function of primary and subordinate controllers and the realization of the communication system by a Single Bus. Ten controllers were constructed and tested in our laboratorium. The results show that the control model is practical and meets actual conditions. It provides a theoretical basis for designing a comouter control system for a oowered support system of a plough at a mining face.

A 155 Mbps laser diode driver with automatic power and extinction ratio control

An integrated laser diode driver(LDD) driving an edge-emitting laser diode was designed and fabricated by 0.35 μm BiCMOS technology. This paper proposes a scheme which combines the automatic power control loop and temperature com-pensation for modulation current in order to maintain constant extinction ratio and average optical power. To implement tem-perature compensation for modulation current,a novel circuit which generates a PTAT current by using the injecting base current of a bipolar transistor in saturation region,and alternates the amplifier feedback loop(closed or not) to control the state of the current path is presented. Simulation results showed that programmed by choice of external resistors,the IC can provide modu-lation current from 5 mA to 85 mA with temperature compensation adjustments and independent bias current from 4 mA to 100 mA. Optical test results showed that clear eye-diagrams can be obtained at 155 Mbps,with the output optical power being nearly constant,and the variation of extinction ratio being lower than 0.7 dB.

Based on the PLC technology automation design of on-board pump station oil temperature control system

Vehicle hydraulic pump station, often work environment is poor, the environment temperature difference is very big, the natureof the hydraulic oil is affected by temperature is very big, a lot of damage, PLC automatic control scheme and design of pumping station, the oiltemperature automatic control system realized the automation of the oil temperature control, greatly improving the pump station of the outdoorenvironment to adapt to the performance.

Automatic Generation Control in a Distributed Power Grid Based on Multi-step Reinforcement Learning

The increasing use of renewable energy in the power system results in strong stochastic disturbances and degrades the control performance of the distributed power grids.In this paper,a novel multi-agent collaborative reinforcement learning algorithm is proposed with automatic optimization,namely,Dyna-DQL,to quickly achieve an optimal coordination solution for the multi-area distributed power grids.The proposed Dyna framework is combined with double Q-learning to collect and store the environmental samples.This can iteratively update the agents through buffer replay and real-time data.Thus the environmental data can be fully used to enhance the learning speed of the agents.This mitigates the negative impact of heavy stochastic disturbances caused by the integration of renewable energy on the control performance.Simulations are conducted on two different models to validate the effectiveness of the proposed algorithm.The results demonstrate that the proposed Dyna-DQL algorithm exhibits superior stability and robustness compared to other reinforcement learning algorithms.

A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems

The wind–thermal bundled power system achieves energy complementarity and optimized scheduling, which is an important way to build a new type of energy system. For the safe and stable operation of the wind–thermal bundled power system, accurate data-driven analysis is necessary to maintain real-time balance between electricity supply and demand. By summarizing the development and characteristics of wind–thermal bundled power system in China and different countries, current research in this field can be clearly defined in two aspects: short-term wind power prediction for wind farms and performance evaluation of automatic generation control (AGC) for thermal power generation units. For short-term wind power prediction, it is recommended to focus on historical data preprocessing and artificial intelligence methods. The technical characteristics of different data-driven wind power prediction methods have been compared in detail. For performance evaluation of AGC units, a comprehensive analysis was conducted on current evaluation methods, including the “permitted-band” and “regulation mileage” methods, as well as the issue of evaluation failure in traditional evaluation methods in practical engineering. Finally, the relative optimal dynamic performance of AGC units was discussed and the future trend of data-driven research in wind–thermal bundled power system was summarized.

Combining the People Power and the Process Power to Achieve Six Sigma Process Capability——A Case Study

Achieving Six-Sigma process capability starts with l istening to the Voice of the Customers, and it becomes a reality by combining th e People Power and the Process Power of the organisation. This paper presents a Six-Sigma implementation case study carried out in a magnet manufacturing compa ny, which produces bearing magnets to be used in energy meters. If the thickness of the produced bearing magnets is between 2.35 mm and 2.50 mm, they will be ac cepted by the customers. All the time the company could not produce the bearing magnets within the specified thickness range, as their process distribution was flat with 2.20 mm as lower control limit and 2.60 mm as upper control limit. This resulted in a huge loss in the form of non-conformities, loss of time and goodwill. The process capability of the company then was around 0.40. Organisat ion restructuring was carried out to reap the benefit of the People Power of the organisation. Statistically designed experiments (Taguchi Method based Design o f Experiments), Online quality control tools (Statistical Process Control To ols) were effectively used to complete the DMAIC (Define, Measure, Analyse, Impr ove and Control) cycle to reap the benefit of the Process Power of the organisat ion. Presently the company enjoys a process capability of 1.75, a way towards Si x-Sigma Process Capability.

An Automatic Synchronization Method for Distributed Power Electronics System

Currently, the high-speed serial fiber-optic ring net communication is a main method for performing the distributed control network topology and control mode. Because of a network transmission delay inherent in the topology, synchronization between nodes has become a critical issue which needs to be studied. The existing synchronization methods largely depend on the complex communication protocol. Therefore, this paper has proposed a method of automatic measurement and compensation of synchronization delay, and analyzed its operating principle and implementation procedure in detail. The results obtained from the experiments prove the proposed method to be correct, effective and practicable.

Research on Wind Farm Participation in Power Grid AGC Control

Since wind power has the features of being intermittent and unpredictable, and usually needs transmission over long distances, grid integration of large-scale wind power will exert signif icant influence on power grid planning and construction, and will make a heavy impact on the safe and reliable operation of power systems. To deal with the diff iculties of large scale wind power dispatch, this paper presents a new automatic generation control (AGC) scheme that involves the participation of wind farms. The scheme is based on ultra-short-term wind power forecast. The author establishes a generation output distribution optimization mode for the power system with wind farms and verif ies the feasibility of the scheme by an example.

基于数据驱动的配电网无功优化

传统无功电压控制由于分布式电源、储能以及柔性负荷的接入面临计算速度和精度上的挑战。该文提出了一种基于数据驱动的配电网无功电压优化方法,通过跟踪实际系统的运行参数,实现无功电压的主动控制。在极限学习机中引入自动编码器构建深度学习机制,利用自动编码器建立极限学习机输入-输出的直接耦合关系,实现无监督学习和有监督学习有机结合,缩短训练模型的迭代过程;利用蒙特卡洛法基于分布式电源、负荷预测信息构建配电网运行场景,利用深度极限学习机挖掘运行场景优化运行与无功调压设备状态间的内在联系,建立电网运行场景与系统无功调压策略的映射关系。该文提出的基于数据驱动的无功优化方法不依赖实际系统潮流计算,能够实现配电网运行状态的跟踪和无功调节设备的优化调度,为配电网无功电压的主动控制打下基础。

面向一流学科自动控制理论课程实验教学改革与实践

针对当前自动控制理论课程配套实验环节无法满足“双一流”建设要求的问题,开发了自动控制理论课程虚拟实验平台。依托自动化专业一流学科建设平台,利用虚拟现实和网络信息技术,依据实验室的真实环境和设备,建立了完整的空间、设备模型,构建了模拟实验环境和实验设备的虚拟三维场景。该虚拟实验平台提高了学生的实际参与度与自主性,实现了“以学生为中心、以产出为导向”、以网络信息技术为支持的实验教学改革,对自动化专业宽口径、应用型、复合型的创新人才的培养具有一定意义。

基于电机的“自动控制原理”实验教学

针对ACCT-Ⅲ实验箱开展“自动控制原理”实验教学缺乏具体的被控对象的问题,设计以电机为被控对象的实验教学,内容包括建立电机电流和速度数学模型,设计电流、速度闭环PID控制系统,控制系统Matlab仿真,实际伺服电机平台实验等。该实验教学从实物建模、模型仿真、控制器设计到控制系统仿真与实物验证,以项目设计理念为指导,让学生更好地理论与实际相结合,达到知识的内化,提高了教学质量。

基于锥角控制的下风向风力机功率调节策略

针对中小型下风向风力机开展了功率调节策略研究.首先,对100 W下风向风力机进行了仿真计算和风洞实验,探究了下风向风力机的气动性能;然后,分析了风轮锥角对风力机输出功率和叶根载荷的影响机制,归纳出输出功率与锥角余弦值的三次方正相关,叶根载荷与锥角余弦值的平方正相关;最后,形成了一套基于锥角控制的下风向风力机功率主/被动调节策略.研究结果表明:采用主动调节策略可在超额定风速运行时有效控制风轮输出功率,并可使叶根载荷极值降低14.2%;较控制前,采用被动调节策略可使得在超额定风速运行时,输出功率与额定功率的平均偏差减小20.84 W.两种调节策略皆可实现超额定风速运行时下风向风力机输出功率的有效控制.

小功率柴油发电机谐波励磁自动控制方法仿真

为了降低发电机谐波含有率,提出一种小功率柴油发电机谐波励磁自动控制方法。通过多元经验模态分解(MEMD)预处理三相电流,对预处理的小功率柴油发电机电流信号展开多变量多尺度模糊熵(MMFE)变换处理,得到MEMD-MMFE熵值面积。根据熵值面积辨识谐波励磁涌流,获取异常和正常状态下的电流变化情况。分析谐波励磁原理对定子电流的特殊要求,在矢量六边形SVPWM调制的基础上研究三次谐波注入的调制策略,同时引入比例谐振控制完成小功率柴油发电机谐波励磁自动控制。仿真结果表明,所提方法具有良好的自动控制性能,上述方法控制下小功率柴油发电机中的谐波含有率得到明显改善。

自动控制类专业教学实验室建设探索

自动控制原理实验室是面向全校自动控制类专业共享开放的专业基础课程实验室。通过对实验室现状进行分析,制订实验室建设的总体方案,主要按照验证性实验、综合创新性实验和其他辅助实验等三个维度进行建设。搭建综合创新性实验平台,解决目前缺乏高质量综合创新性实验平台的问题,进一步支撑综合创新性实验和竞赛、实践、科研训练等培养环节;建设辅助实验平台,支撑实验教学等环节多种控制对象仪器设备的数据交互、运行监测,以及学生实验操作的实时评价考核、原始实验数据查询和自动打印实验报告等智能化功能。自动控制类专业教学实验室的建设很好地支撑了课程的教学改革和目标达成度,效果较好。

“电力电子技术基础”闭环型教学控制模型分析与实践

自动控制原理中的反馈闭环控制结构可以消除设定值与输出值之间的误差,使输出值跟随设定值或输入值。本文给出几种单闭环或双闭环反馈型教学控制结构,在与自动控制原理中反馈闭环控制结构进行对比分析后,分析了反馈型教学控制结构的工作原理,并给出了过去反馈型教学控制获得的经验,表明反馈型教学控制结构概念清晰,互操作性强,执行效率高,可扩展性强,易于推广应用。

基于氦气置换的超大型土工离心机缩比模型温控实验研究

为了解决常压下超重力离心模拟与实验装置(CHIEF)的温控问题,提出以氦气置换机室内空气的温控方法,建立区分不同热源的传热模型,通过降低风阻功率减少源头热量产生.建造CHIEF的缩比模型实验装置(机室直径缩比为1∶20),分别在空气和氦气介质下测定风阻功率和机室内的温度.实验结果表明,氦气置换空气后,风阻功率降低了82.4%,机室内的最高温度从56.4℃降至32.9℃,机室内的最大温差从6.8℃降至4.1℃.传热模型的分析结果表明,气体与机室侧壁面的摩擦产热是造成机室温度升高的主要原因,氦气置换后的原型机机室温度可控制在25.7℃,实现了机室最高温度不超过(40±5)℃的温控目标.

新工科思维在实验课中的应用与实践--以“自动控制原理实验”课程为例

文章以“自动控制原理实验”课程为例,探讨了新工科思维在实验课程中的应用与实践。文章比较了传统教育和新工科思维的区别,强调了后者在跨学科技能、创新和实际应用中的重要性。文中介绍了将新工科思维融入实验课程的方法,并讨论了这种方法如何有效提升学生的问题解决能力、团队合作和创新能力。最后,文章对这种教育方法在适应社会发展需求方面的前景进行了展望。

可重构功率电路的电力电子实验教学平台设计

为了便于开展电力电子领域多种功率电路分析、控制与特性测试教学,设计了一个可重构功率电路的电力电子实验教学平台,包括功率电路的可重构组件、电压电流采集模块、国产快速原型控制器、上位机以及示波器。基于该实验教学平台可以构建多种拓扑功率电路,并在Matlab/Simulink软件中开发控制算法以自动生成实验控制程序。

可调谐激光器多闭环控制驱动系统设计

为满足可调谐激光器输出激光的高控制稳定性需求,设计并实现了应用于可调谐激光器的多闭环控制驱动系统。首先,为实现高稳定性电流驱动,基于深度负反馈控制原理设计了电流控制内环,并通过积分补偿和RC滤波回路削弱了噪声和电流波动对激光二极管(LD)的干扰;其次,为了防止恒定电流驱动下LD仍存在的功率衰减问题,利用积分电路和光功率二极管(PD)设计了功率控制内环,并应用仪表放大电路消除了环内共模噪声干扰并实现了线性控制;最后,为了实现驱动电流和输出功率的实时调节,应用位置式PID对系统进行外环控制,与内环共同构成了多闭环控制系统。实验结果表明,电流控制稳定度均优于200 ppm,功率控制稳定度优于0.005 dB/h,激光波长稳定度均优于1 pm/h,能够满足可调谐激光器的高控制稳定性需求。