基于改进自抗扰控制的微电网混合储能控制策略

储能系统在微电网保证电力系统运行稳定运行中起到了关键的作用.因可再生能源发电具有许多不确定因素,从而引发的随机性以及波动性对微电网并网运行产生恶劣的影响.针对以上问题,为提高微电网并网的电能质量,减小直流(direct current,DC)母线电压的波动和冲击,提出一种由超级电容与蓄电池组成的改进自抗扰控制(acti...     

一种基于改进自抗扰控制器的风电机组变桨距控制策略

为了改善风电机组的恒功率输出区域的动态性能,提出了一种基于改进自抗扰控制器的变桨控制策略。当风速高于额定风速时,通过调节桨距角改变风机气动转矩,保证风机输出功率的稳定性。设计了一个改进的连续光滑的非线性函数,可有效提高系统的抗扰动能力。基于该非线性函数对传统自抗扰控制器做出了改进。仿真结果证明,改进自抗扰控制器的变桨距控制系统能够对桨距角进行精确调整并将输出功率快速稳定到额定值附近,具有较快的响应速度及较好的抗扰动能力。     

基于遗传算法时滞系统的滤波器参数自调整内模控制

对于工业控制过程中的时滞系统,采用内模控制的设计方法,建立了滤波器参数λ的优化自整定;并且研究了利用十进制编码的遗传算法及其具体的遗传操作过程,实现了滤波器参数λ的优化自整定,从而避免了二进制编码所导致的影射误差.仿真结果表明,对于在控制过程中过程模型变化或过程模型与预估模型失配时,通过优化调整内模控制器的滤波器参数λ;可改善系统的控制品质,提高控制系统的鲁棒性,且易于工程实现.     

Silicon carbide resonant tuning fork for microsensing applications in high temperature and high G shock environments

We present the fabrication and testing of a silicon carbide(SiC)balanced mass double-ended tuning fork that survives harsh environments without compromising the device strain sensitivity and resolution bandwidth.The device features a material stack that survives corrosive environments and enables high-temperature operation.To perform high-temperature testing,a specialized setup was constructed that allows the tuning fork to be characterized using traditional silicon electronics.The tuning fork has been operated at 600 ℃ in the presence of dry steam for short durations.This tuning fork has also been tested to 64 000 G using a hard-launch,soft-catch shock implemented with a light gas gun.However,the device still has a strain sensitivity of 66 Hz/με and strain resolution of 0.045 με in a 10 kHz bandwidth.As such,this balanced-mass double-ended tuning fork can be used to create a variety of different sensors including strain gauges,accelerometers,gyroscopes,and pressure transducers.Given the adaptable fabrication process flow,this device could be useful to micro-electro-mechanical systems(MEMS) designers creating sensors for a variety of different applications.     

Auto Distribution of Tag Table in P2P Control System

In control system, tag table is like a dictionary mapping tagname to address. Therefore, applications on workstation may use tagname to access different data in system. Normally tag table generated by configuration software will transfer to other workstation in system manually after system configuration, which is inconvenient and fallible. The development of peer-to-peer (P2P) network technology and the realization of control system based on P2P network make the auto distribution of tag table possible. In this paper based on file sharing technology the presented method realizes the auto distribution of tag table.     

A wide tuning range electro-optic filter based on long-period waveguide grating

We present the design of an electro-optic filter with polarization insensitivity based on a long period waveguide grating. The filter exhibits an ultra-large wavelength tuning range of exceeding 35 nm and covering the whole C band (1530 to 1565 nm) in a bias voltage range from −84 to 84 V. In the whole tuning range, the transmission coefficients for quasi TE modes are over 97% and the 3 dB bandwidths are below 0.8 nm. The wavelength sensitivity to the tunable voltage is about 0.208 nm/V. This electro-optic filter can be used in dynamic WDM networks for fast wavelength scanning/selection, communication channel reconfiguration, and optical switching.     

8G型电力机车自动常用制动功能的设计探讨

通过研究8G型机车制动机作用原理,结合机车运行监控装置功能控制,设计实现了8G机车自动常用制动功能。     

碳排放、能源消费与经济增长的实证研究

从经济增长与资源环境的关系入手,构建经济增长、能源消费和碳排放的向量自回归模型（VAR）,运用脉冲响应函数研究三个变量之间的相互关系,并分别建立能源消费和二氧化碳排放为自变量的协整方程,结果表明: 经济增长与能源消费和碳排放具有长期的协整关系,经济增长每提高1%,能源消费增长增加0.240%,同时导致二氧化碳排放增加0.295%。这说明我国的高速经济增长过程中,付出了较大的资源环境自然代价。     

虚拟参考反馈校正控制器参数的预测误差辨识

针对未知系统中双控制器的设计问题,采用虚拟参考反馈校正方法,通过最小化由一组观测数据组成的L2范数所构成的代价函数,达到直接设计控制器目的.联合前馈控制器分离出的固定部分和反馈控制器作为滤波器,对原输入/输出关系式进行重参数化,得到标准的预测误差辨识形式,在所得式中,对控制器未知参数矢量采用可分离迭代的非线性最小二乘法进行估算.文中还对算法的收敛性进行了理论分析,并通过仿真验证了所提方法的有效性.     

基于免疫遗传算法的移动机器人轨迹跟踪

为实现移动机器人轨迹的准确跟踪,提出一种基于免疫遗传算法的移动机器人控制器参数整定方法.首先建立移动机器人的结构模型、运动学模型、电机控制系统模型,然后针对所建立的模型,采用一种改进的免疫遗传算法对电机控制系统模型参数进行了整定.该算法在选择下一代的过程中,既考虑了抗原的适应度函数,强调抗体的个人竞争,保证了算法的收敛速度,又引入了抗体浓度概念来体现抗体间的相互交流,从而强化了算法的全局搜索能力,弥补了传统遗传算法搜索能力不足的缺陷.文中最后利用移动机器人的实验平台,进行了带负载下驱动电机的阶跃信号响应和移动机器人运动轨迹的跟踪实验,电机的阶跃信号响应良好,移动机器人也能较好地复现所规划的轨迹.仿真与实验结果表明,所提出的基于免疫遗传算法的机器人轨迹跟踪控制算法有较高的可行性与优越性.