双馈风力发电机的内模控制器设计

针对双馈风力发电机(DFIG)中普遍存在的功率耦合问题,设计了一种基于内模原理的电流控制器.首先介绍了内模控制(IMC)理论的系统结构,在此基础上推导出双馈风力发电系统的传递函数,并建立基于内模控制的电流内环数学模型;其次,内模控制器的参数整定参考系统的平方积分误差值,其鲁棒稳定性参考M值的大小;最后利用Matlab仿真平台进行了仿真实验.结果表明,该控制器实现了系统有功和无功的充分解耦,并具有较好的稳态和动态性能.     

直驱小惯量表贴式永磁同步电机的转速脉动抑制

非线性电流测量误差和电压源逆变器(VSI)非线性畸变电压造成了直驱小惯量表贴式永磁同步电机(SPMSN)的转速脉动.本文将q轴非线性电流测量误差等效为扰动负载电流,提出一种复合PI(CPI)调速器抑制电机转速脉动.该调速器由传统PI调节器与偏差补偿器并联构成,偏差补偿器用以抑制非线性负载电流.同时,用分段线性函数建立IGBT关闭时间模型,并推导了VSI非线性畸变电压表达式.引入积分型模型预测控制(MPC)作为电流环控制器,利用MPC的滚动时域最优预测特性抑制VSI的非线性畸变电压,消除了零电流钳位现象.最后,通过仿真分析验证了所提控制策略的有效性.     

永磁直驱风力发电系统变流器的设计与仿真

由两相旋转坐标系下的数学模型,推导了得出了并网逆变器双闭环控制方法,并且对电流环的设计做了详细的介绍.根据控制原理在MATLAB环境下搭建了永磁直驱风力发电系统的仿真模型,进行了仿真实验.仿真结果表明,在风速变化的情况下,并网逆变器可以向电网输出稳定可靠的电能,系统稳态、暂态性能良好.     

永磁直驱风电系统网侧变流器控制策略研究

介绍了永磁直驱风力发电系统网侧变流器的基本结构和工作原理。在建立了网侧变流器数学模型的基础上采用前馈解耦双闭环控制策略进行控制。实现了直流母线电压的稳定及有无功功率的解耦控制。针对传统PI控制器在跟踪和抗扰性能上无法同时达到最优的问题,提出一种基于二自由度PID控制的永磁直驱风力发电系统网侧变流器控制策略。并对二自由度PID控制器进行了化简得到一种简化的二自由度PID控制器。最后在Matlab/Simulink环境下对电网三相平衡状态、单相电压跌落状态及三相电压跌落状态的仿真实验验证了改进控制策略的有效性和正确性。     

双定子直线振荡电机动子位移自传感技术研究

基于建立的双定子直线振荡电机系统数学模型,提出了电机动子位移自传感算法,通过对于电机端电压及电流信号的处理实现了动子位移的自传感.在此基础上,通过实验对此算法进行了验证.实验结果显示,在有效行程范围(20 mm)内.定频变行程和谐振点变行程控制方式下的估算行程的最大绝对误差分别为0.4 mm和0.3 mm,最大相对误差分别为4.76%和3.7%,可以满足控制要求.此算法可用于直驱压缩机的变行程控制及上死点控制.     

矢量解耦控制级联式无刷双馈发电机研究

由于飞机三级式同步发电机存在CSD(恒速装置),增加了飞机重量,而且发电及容量不能做到很大.提出一种飞机串级式无刷双馈交流发电机系统,去掉了CSD,在发动机转速变化的同时调节控制绕组电流大小实现变速恒频的目的.论文在对串级式无刷双馈发电机定转子磁场进行分析、给出电压和转矩方程的基础上,针对串级式无刷双馈电机的高耦合、非线性和多变量时变性等特点,设计了矢量解耦控制器,实现控制绕组电压与电流之间的解耦,在Matlab/simulink环境下进行了仿真研究,结果表明:利用矢量解耦控制算法对无刷双馈发电机进行分析,实现了变速恒频发电;系统运行良好,具有较好的动态响应特性;所采用的方法是正确的、可行的.     

兆瓦级直驱式风力发电机组控制系统设计

为了降低系统控制难度、提高机组转化效率,提出了一种以复合励磁同步发电机作为发电机的兆瓦级直驱式复合励磁同步风力发电系统,该系统由不可控二极管 直流环节 并联SPWM逆变器组成的交/直/交变流器将风能转化为电能送入电网.该机组控制系统由机组主控制器、复合励磁控制器、逆变器控制单元、变桨距机构、偏航机构等构成.对机组控制系统中各个部件的功能和结构进行了分析和设计,并通过Profibus现场总线将这些部件构成了一个集散控制系统.     

基于微粒群算法的永磁同步发电机滑模控制

为了改善直驱永磁同步风力发电机控制系统的控制性能,设计了一种滑模控制器。运用Matlab/Simulink建立了直驱型永磁同步风力发电机的仿真模型。提出外环采用转速闭环控制控制策略,用于跟踪最佳转速,以实现风力发电系统的最大功率跟踪控制。针对转速闭环控制采用一种新型的趋近律设计了滑模控制器,并用微粒群优化算法对控制器参数进行寻优。所设计的控制器性能与比例积分（PI）控制器进行了对比,结果表明优化参数后的滑模控制器拥有更好的控制效果,同时也表明采用 PSO 算法进行控制器设计是有效、可行的。     

一种低纹波的推挽变换器控制算法研究

提出一种基于双闭环控制和重复控制的推挽变换器设计方法.针对车载蓄电池的输出电流纹波精度要求,通过理论分析对推挽变换器进行建模,并优化设计了推挽变换器平均电压外环电流内环的双闭环控制器参数;同时根据车载逆变器的应用环境,采用一种重复控制策略有效抑制电压误差中的交流分量,简化了控制器的设计.通过实际试验数据,验证了所设计的控制器的可行性和优越性.     

基于EKF和SMC的永磁同步电机无传感器矢量控制

采用扩展卡尔曼滤波(EKF)算法估计永磁同步电机(PMSM)转速和转子位置,构成转速、电流双闭环的无传感器矢量控制系统.针对扩展卡尔曼滤波为有偏估计、对模型误差鲁棒性差等问题,提出了基于指数趋近律的滑模转速控制器.为提高转速环抗负载转矩扰动能力,设计负载转矩观测器并将观测结果引入到电流控制器的输入端,作为速度控制器前馈补偿的控制输入.仿真实验结果表明,与传统采用PI(proportional-integral)转速控制器的系统相比,文中所提控制策略具有转速跟踪误差小、响应快、无超调、抗负载扰动能力强等优点.     

无刷直流电机的电流跟踪控制

基于无刷直流电机数学模型,采用Simulink建立了无刷直流电机调速系统的仿真模型,研究了两种电流跟踪控制技术。系统采用双闭环控制,速度环采用PI调节器,电流环分别采用滞环比较电流跟踪控制和三角波比较电流跟踪控制。对两种电流跟踪控制方案进行了仿真比较,得出的结论为高性能无刷直流电机控制器的设计提供了参考。     

H ∞ robust control of DC-AC interfaced microsource in microgrids

This paper focuses on the direct current-alternating current (DC-AC) interfaced microsource based H∞ robust control strategies in microgrids. It presents detail of a DC-AC interfaced microsource model which is connected to the power grid through a controllable switch. A double loop current-regulated voltage control scheme for the DC-AC interface is designed. In the case of the load disturbance and the model uncertainties, the inner voltage and current loop are produced based on the H∞ robust control strategies. The outer power loop uses the droop characteristic controller. Finally, the scheme is simulated using the Matlab/Simulink. The simulation results demonstrate that DC-AC interfaced microsource system can supply high quality power. Also, the proposed control scheme can make the system switch smoothly between the isolated mode and grid-connected mode.     

ANFIS based multi-sector space vector PWM scheme for sensorless BLDC motor drive

This paper presents a design and development of Multi Sector Space Vector Pulse Width Modulation scheme (MS-SVPWM) for the speed control of brushless direct current (BLDC) motor drive. This control scheme is developed to enhance the performance of BLDC under wide range of speed and load variation. The hardware prototype is developed for 400 W, 30 V, 3000 rpm BLDC motor. The drive consists of uncontrolled rectifier unit for providing DC source to inverterunit. The proposed drive control has been done by implementing MS-SVPWM scheme using ANFIS control. The main function of ANFIS controller is to select the suitable sector for the drive and also predict the mismatching pulses by comparing conventional SVPWM and MS-SVPWM switching patterns. This new switching control technique helps to reduce switching losses of inverter and also improves an efficiency of BLDC system. This MS-SVPWM reduces the DC voltage ripple; Total Harmonic Distortion (THD) and torque ripple to the standard level. To verify and validate the practicality of the proposed system, the simulation is first performed using MATLAB Simulink tool. The hardware system is developed for the MS-SVPWM using DSPIC30F4011controller, the simulation and experimental results are presented.     

基于相位控制的硅微机械陀螺驱动控制技术

全面分析、研究并实现了一种基于相位控制的硅微机械陀螺(Silicon micromechanical gyroscope, SMG)驱动控制技术. 分析了硅微陀螺驱动模态的动力学特性,阐述了相位控制方案的基本原理; 在此基础上建立了控制环路,采用自激振荡理论分析了其稳定性; 建立了环路的相位模型,引入特异因子实现相位控制误差到频率差 (工作频率与驱动模态谐振频率之差)的转换; 建立了对应于相位控制环路的频率模型,当环路滤波器为一阶模型时, 与传递函数为二阶的信号跟踪锁相环(Phase locked loop, PLL)不同,总的闭环模型仅为一阶; 最后基于FPGA平台,采用线性鉴相方式设计了数字化相位控制环路, 并结合幅值控制实现了双闭环驱动控制电路.测试结果表明, 该方案可实现硅微陀螺驱动端的高精度控制.     

Robust Saturated PI Joint Velocity Control for Robot Manipulators

It is well known that many industrial manipulators use an embedded linear proportional‐integral (PI) joint velocity controller to guarantee motion control through proper velocity commands. However, although this control scheme has been very successful in practice, not much attention has been paid to designing new PI velocity control structures. The problem of analyzing a saturated PI velocity joint velocity controller is addressed in this paper. By using the theory of singularly perturbed systems, the closed‐loop system is studied. The robot dynamics assumed in this paper take into account bounded time–varying disturbances which may include the friction at the joints. An experimental study in a planar two degrees‐of‐freedom direct‐drive robot is also presented, confirming the advantage of the new saturated PI joint velocity controller.     

Immersion and invariance based fault tolerant adaptive spacecraft attitude control

In this paper, an immersion and invariance (I&I) adaptive fault tolerant satellite attitude tracking control scheme is proposed. The proposed controller is capable of track the desired trajectory in the presence of unknown actuator multiplicative faults and unknown inertial matrix. Also based on Lyapunov direct method, all closed loop signals are proven to be globally asymptotically stable. The main advantage of this controller is improving closed loop performance while maintaining stability in the presence of unknown actuator faults. This method does not rely on certainty equivalence principle so it can be used to control the transient response of overall closed loop system by means of controlling the parameter estimation behavior which is not possible in traditional adaptive control. Numerical simulations are performed to demonstrate the effectiveness of proposed control scheme.     

A fuzzy logic based supervisory hierarchical control scheme for real time pressure control

This paper describes a supervisory hierarchical fuzzy controller （SHFC） for regulating pressure in a real-time pilot pressure control system. The input scaling factor tuning of a direct expert controller is made using the error and process input parameters in a closed loop system in order to obtain better controller performance for set-point change and load disturbances. This on-line tuning method reduces operator involvement and enhances the controller performance to a wide operating range. The hierarchical control scheme consists of an intelligent upper level supervisory fuzzy controller and a lower level direct fuzzy controller. The upper level controller provides a mechanism to the main goal of the system and the lower level controller delivers the solutions to a particular situation. The control algorithm for the proposed scheme has been developed and tested using an ARM7 microcontroller-based embedded target board for a nonlinear pressure process having dead time. To demonstrate the effectiveness, the results of the proposed hierarchical controller, fuzzy controller and conventional proportional-integral （PI） controller are analyzed. The results prove that the SHFC performance is better in terms of stability and robustness than the conventional control methods.     

伺服电机的预测控制与比例-积分-微分控制

为完成伺服电机平稳而快速的控制,根据预测控制方法中动态矩阵控制原理,提出了基于动态矩阵的预测控制和比例-积分-微分(PID)控制的伺服电机的控制方案。分析了交/直流伺服电机三环控制的统一模型,用预测控制器设计了伺服电机的电流环,提出了利用上升时间和稳态值确定电流环等效惯性环节的方法,最后用PID控制器设计了速度环和位置环。计算和仿真结果表明,电流环的等效惯性环节时间常数与-ln(0.368)成反比,该预测控制和PID混合控制可以很好地实现伺服电机平稳快速的运行。     

Passivity-based control for a DC/DC high-gain transformerless boost converter

In this work, an adaptive passivity-based controller for a DC-DC high-gain transformerlessdouble-inductor boost converter is fully detailed. The proposed current-mode control scheme results in two feedback loops, a current controller for tracking the inductor current considering damping injection and energy shaping, and a voltage loop composed by a proportional-integral action to guarantee output voltage regulation. Furthermore, a parametric uncertainty estimator using immersion-invariance approach is designed to improve the robustness of the current loop. As a result, a multi-loop adaptive nonlinear energy-based controller, which ensures regional asymptotic stability via Lyapunov analysis is accomplished. In addition, considering practical conditions, real-time numerical simulations, using a 1 kW case-study converter, are carried out in order to assess the effectiveness of the proposed control scheme. Results for output voltage regulation, current tracking, and parametric uncertainty estimation under input voltage and load step changes are shown.     

应用电流单个神经元PI控制实现串级调速系统最佳运行

为提高串调系统动态响应性,保证电机平稳运行,设置水压转速双闭环控制系统,同时对电流实行单个神经元PI控制,设置单个神经元PI调节器结构,调整权值,使串调系统运行状态最佳,安全稳定,高效节能。