永磁同步电机的无速度传感器直接转矩控制

在高性能的永磁同步电机控制系统中,机械传感器的存在会使系统的成本增加,可靠性降低,容易受到外部环境的影响.在叙述永磁同步电机直接转矩控制原理的基础上,采用了一种基于转子磁链的转速估计方法,该方法根据定子磁链角和负载角确定出转子磁链角,进而估计出电机的转速.仿真和实验结果验证了该方法能够在电机全速范围内准确地估计出转速,具有优良的动静态性能,适合于永磁同步电机的直接转矩控制.     

多级旋转变压器模糊控制逆变电源的应用研究

介绍了多级旋转变压器模糊控制逆变电源.该电源为单输入、多输出高精度电压源.控制器部分采用多赋值模糊式精确控制方式,模糊控制器以输出电压偏差、电流偏差及逆变器导通和关断时间的占空比作为输入量,将输入量进行模糊化处理、判决,得到控制量的精确输出值,从而获得多个等级的标准电压,为多级旋转变压器提供了高精度、多等级电压源.多级旋转变压器可以同时驱动多个被控负载,已达到单输入控制多输出的目的.     

宽域废气氧传感器控制器的研究与实验

宽域废气氧（universal exhaust gas oxygen,UEGO）传感器是发动机闭环空燃比控制系统中最重要的传感器之一,其结构特殊,必须由控制器控制其温度和泵电压才能正常工作。针对温控对象的非线性特性,研究了分段加热控制算法。针对泵电压控制模块被控对象的不确定性,研究了鲁棒PID控制算法。基于dSPACE实时仿真系统实现UEGO传感器控制器,并在化油器发动机台架上进行实验。实验结果表明,控制器具有良好的鲁棒性和运行性能。λ值稳态时,控制器精度良好;λ值变化时,控制器能够快速响应。     

基于DSP的异步电机无速度传感器矢量控制

讨论了一种异步电机的无速度传感器矢量控制系统,提出了一种新的实现电机矢量控制的控制策略,并且验证了基于电压型转子磁链观测方案中一种新的补偿方式。以TMS320F2407和VC33为核心构成控制器,实现了异步电机无速度传感器矢量控制系统。实验结果证明,该系统具有较好的定子磁链和转速观测精度,能改善低速时磁链畸变程度和运行特性,可以实现针对电机的无速度传感器的矢量控制。     

网络备用电源自动投入系统控制策略研究

以襄樊电网为工程实际基础,介绍了区域电网网络备用电源自动投入系统产生背景、工作原理。阐述了网络备用电源自动投入系统典型控制策略,最大限度利用现有电网资源提高用户供电可靠性。     

Iterative Learning Control Algorithm with a Fixed Step

Iterative Learning Control (ILC) captures interests of many scholars because of its capability of high precision control implement without identifying plant mathematical models, and it is widely applied in control engineering. Presently, most ILC algorithms still follow the original ideas of ARIMOTO, in which the iterative-learning-rate is composed by the control error with its derivative and integral values. This kind of algorithms will result in inevitable problems such as huge computation, big storage capacity for algorithm data, and also weak robust. In order to resolve these problems, an improved iterative learning control algorithm with fixed step is proposed here which breaks the primary thought of ARIMOTO. In this algorithm, the control step is set only according to the value of the control error, which could enormously reduce the computation and storage size demanded, also improve the robust of the algorithm by not using the differential coefficient of the iterative learning error. In this paper, the convergence conditions of this proposed fixed step iterative learning algorithm is theoretically analyzed and testified. Then the algorithm is tested through simulation researches on a time-variant object with randomly set disturbance through calculation of step threshold value, algorithm robustness testing,and evaluation of the relation between convergence speed and step size. Finally the algorithm is validated on a valve-serving-cylinder system of a joint robot with time-variant parameters. Experiment results demonstrate the stability of the algorithm and also the relationship between step value and convergence rate. Both simulation and experiment testify the feasibility and validity of the new algorithm proposed here. And it is worth to noticing that this algorithm is simple but with strong robust after improvements, which provides new ideas to the research of iterative learning control algorithms.     

Apparent wind load effects on the tether of a kite power generator

This paper is devoted to analytical modeling of apparent wind load effects on a tether constraining a power kite performing a fast crosswind motion. The refined crosswind motion law generalized for accounting the kite control is derived in the case of equilibrium motion of the kite. The paper also presents the study of the effect of tether sag based on the mathematical model of a gently sloping tether line.     

25 m射电望远镜俯仰系统的全过程建模

最优控制可有效提高大射电望远镜的指向精度,但其控制器设计需要精确的被控对象模型。为此,文中依据其有限元模型,建立了俯仰系统从电机到副面运动的全过程模型。首先,应用模态坐标法建立了大齿轮和主反射面模型,体现了结构主体刚柔混合特性;然后,应用Euler-Bernoulli梁方程式推导了副面撑杆和副面模型,反映了结构末端柔性;最后,通过仿真分析验证了该建模方法的准确性和有效性。与目前已有的射电望远镜建模方法相比,该方法的优点在于在天线设计阶段就可模拟各部分的实际运转状况,可提前发现不足。     

Calibrating whole building energy models: An evidence-based methodology

This paper reviews existing case studies and methods for calibrating whole building energy models to measured data. This research describes a systematic, evidence-based methodology for the calibration of these models. Under this methodology, parameter values in the final calibrated model reference the source of information used to make changes to the initial model. Thus, the final model is based solely on evidence. Version control software stores a complete record of the calibration process, and the evidence on which the final model is based. Future users can review the changes made throughout the calibration process along with the supporting evidence. In addition to the evidence-based methodology, this paper also describes a new zoning process that represents the real building more closely than the typical core and four perimeter zone approach. Though the methodology is intended to apply to detailed calibration studies with high resolution measured data, the primary aspects of the methodology (evidence-based approach, version control, and zone-typing) are independent of the available measured data.