并联混合有源滤波器逆系统解耦控制

针对并联混合有源滤波器(SHAPF)这一强耦合非线性系统的控制问题,提出了一种基于逆系统方法的SHAPF反馈线性化解耦控制策略.首先根据SHAPF非线性数学模型,采用逆系统方法生成其α阶积分逆系统,进而构造出解耦的伪线性系统,然后利用极点配置方法对伪线性系统进行综合,设计了系统的闭环控制器,并给出了系统零动态的镇定条件,保证了闭环控制系统的稳定性.最后仿真实验表明该控制策略能够有效消除电网中的谐波电流,并且与传统线性反馈-前馈控制策略相比,该控制策略具有更好的动静态性能.     

采用非线性无源理论的MMC–MG并网电流控制

针对MMC半桥串联结构微电网(modular multilevel converter microgrids, MMC–MG)并网电流控制中, 采用 传统PI控制方法时其动态性能较差的问题, 提出一种利用无源控制理论的电流控制策略. 首先, 阐述了系统的拓扑 结构, 并建立了其欧拉–拉格朗日数学模型. 然后, 通过选取系统的状态变量, 设置误差能量函数及需注入的阻尼项, 以得到无源控制律; 并依据该控制律设计无源电流控制器. 此外, 通过观察采用不同阻尼值时控制器的稳定性、电 流谐波特性、幅频和相频特性曲线, 进而得到最佳的阻尼参数; 最后, 由系统的并网仿真模型验证所提无源电流控 制的有效性. 结果表明, 与传统PI控制相比, 阻尼注入无源控制方法能在不同运行工况下实现对电流和功率参考值 的快速跟踪. 同时, 具有良好的谐波特性和稳定性.     

并联混合型有源滤波器单周控制

针对目前有源滤波器容量限制,提出一种新型的并联混合型有源滤波器SHAPF的结构,SHAPF结合有源滤波器和无源滤波器,大大减少了有源滤波器的容量,有利于工程实现.在分析SHAPF的数学模型的基础上,应用了一种新型的非线性控制方法--单周控制,此方法是控制直流侧电压来达到控制谐波输出,克服了目前一般PWM控制方法的缺陷,实现简单,仿真验证了此方法的可行性.     

基于通用内模的变频电网有源电力滤波器自适应重复控制

为了提高变频电网并联型有源电力滤波器(APF)的电流控制性能,针对谐波源的多样性和负载状态的变化,提出了一种通用内模,然后,结合两次坐标变换,通过内模p值的自适应调节,建立了基于通用内模的重复控制器.这种控制器,能够根据电网或负载状态,调整动态响应时间和补偿范围.这样就解决了谐波源或负载的变化引起的补偿效果降低的问题.针对电网频率的大范围变化,又引入了周期自适应参数.为了弥补重复控制动态延迟的缺陷,将并联比例控制器组成复合控制系统,并对该系统的主要特性进行了分析.在飞机变频交流电网并联APF系统中,首先将所提重复控制方法与其他四种方法了进行仿真对比,最后进行了实验验证.仿真和实验结果证明了基于通用内模的复合重复控制策略的有效性和优越性.     

不平衡电网电压下MMC-UPQC的无源超螺旋二阶滑模控制策略

基于模块化多电平换流器(modular multilevel converter,MMC)的统一电能质量调节器(unified power quality conditioner,UPQC)在电网电压不平衡时,采用传统控制方法存在补偿效率和精确性较低的问题.针对这一情况,提出一种无源超螺旋二阶滑模控制策略.首先,基于MMC-UPQC的数学模型和无源控制理论,设计不平衡电网电压下基于欧拉-拉格朗日模型的正负序无源控制器;然后,加入超螺旋二阶滑模控制对无源控制器进行改善,抑制常规滑模存在的抖振,并解决无源控制对系统精度要求高的问题,提高系统的响应速度、补偿精度和抗干扰能力,提升系统的整体性能;最后,在Matlab/Simulink平台上进行仿真,并与PI控制和单独的无源控制对比,仿真结果验证了所提无源超螺旋二阶滑模控制策略的有效性和优越性.     

单相电压型PWM整流器无源控制算法研究

以单相电压型PWM整流器为研究对象,针对其控制策略和控制性能不佳等问题,提出由无源电流控制器控制的单相电压型PWM整流器无源控制算法.首先,构建虚拟d-q坐标系获得整流器输入电流的d-q轴电流分量;其次,通过无源电流控制器消除或抑制输入电流谐波,实现对d-q轴电流分量的无差跟踪,使得整流器输出恒定的直流电压;最后,引入评价函数,对控制器的开关函数进行最优选取,从而选择最优开关状态.仿真和实验结果表明,该方法较传统的PI控制算法具有更高的准确性和有效性.     

矩阵变换器输入侧端口受控耗散哈密尔顿算子建模及无源控制

矩阵变换器无中间直流环节,易受电网扰动和负载扰动的影响.针对这一问题,本文设计了矩阵变换器输入侧无源性控制器以改善控制系统特性.首先,在直–交坐标系下建立输入侧的端口受控耗散哈密尔顿(port-controlled Hamiltonian with dissipation,PCHD)算子模型.然后,设计了基于互联和阻尼配置的无源性控制器,用来实现对输入电流快速准确的跟踪.重新配置了系统的平衡点,通过注入阻尼提高系统的收敛速度,并从理论上对闭环系统的渐进稳定性进行了分析.仿真结果表明,系统在非正常工况下仍能保证输入电流为正弦,相比传统偏差修正法,该控制策略具有更好的动态性能和抗干扰能力.     

新型Buck-Boost矩阵变换器的双闭环控制策略

为了克服传统矩阵变换器电压传输比低的缺陷, 提出了新型Buck-Boost矩阵变换器, 采用双闭环控制策略进行控制. 介绍了该控制策略的基本原理与设计方法, 对比分析了该控制策略与滑模控制及离散滑模控制的各种特性, 并通过仿真对其控制效果进行了验证. 结果表明: 该控制策略不仅具有比滑模控制和离散滑模控制更加优良的动态性能, 而且还具有更强的谐波抑制能力, 其输出波形的谐波失真度更小, 稳态精度更高, 因而具有更好的应用价值.     

向无源端网络供电的多端MMC-HVDC控制策略研究

中压直流配电网具有良好的发展前景,本文以贵州电网柔性直流配电示范工程为对象,研究向无源网络供电的多端MMC-HVDC控制策略。首先分析了无源网络的供电特性以及MMC-HVDC向无源网络供电的可行性,研究了基于混合子模块的MMC数学模型,然后搭建了一个向无源网络供电的四端柔性直流输电系统仿真模型并为其设计了相应的双环控制策略。常规的无源端控制器采用定交流电压和频率控制,介绍了虚拟同步发电机的控制原理,结合项目需求,文中同时还设计了采用虚拟同步发电机控制的无源端控制器。最后,利用PSCAD对搭建的多端柔性直流输电系统模型及其无源端控制器的设计进行了仿真验证,仿真结果表明两种控制策略都能实现向无源网络的灵活供电,但基于虚拟同步发电机控制的无源端控制器能减少负荷波动时的频率波动。     

自适应模糊滑模软切换的PMSM无速度传感器鲁棒无源控制

针对永磁同步电机(PMSM)转速调节和估计问题,提出一种无速度传感器的PMSM调速系统.利用双曲正切函数代替符号函数,设计了自适应模糊滑模软切换控制器,实现了软切换连续控制,削弱了抖动现象.通过设计鲁棒无源控制器,得到了旋转坐标系下的u_d和u_q.建立了自适应滑模观测器,并给出了速度辨识律,观测器的增益通过求解线性矩阵不等式得到.仿真结果表明了该控制策略与观测器配合的有效性,且控制系统具有良好的动、稳态性能.     

并联混合有源电力滤波器自适应L2增益鲁棒控制

为了抑制外界未知扰动和参数摄动对并联混合有源电力滤波器(SHAPF) 系统性能的影响, 提出一种新型的自适应L₂ 增益鲁棒控制策略. 首先建立含有扰动和参数摄动的SHAPF 欧拉-拉格朗日(EL) 数学模型, 得到了SHAPF 在dq 坐标系下的误差动态模型; 然后通过构造适当的Lyapunov 函数设计参数自适应控制率, 实现了对系统参数摄动的补偿, 进而利用阻尼注入方法设计系统的L₂增益鲁棒控制器, 以保证闭环系统的 gamma  耗散性. 仿真实验验证了所提出策略的正确性和有效性.

     

并联混合型有源电力滤波器的主要参数设计和仿真研究

并联混合型有源电力滤波器可较好地补偿电流源型谐波源产生的谐波。其交流侧电感、直流侧电容的设计对系统的补偿效果至关重要。文章在理论分析的基础上 ,利用MatLab中的电力系统仿真工具箱对并联混合型有源电力滤波器进行了建模和仿真研究。仿真结果表明 :并联混合型有源电力滤波器可对电力系统中的谐波、无功电流分量进行较好的补偿     

State and mode feedback control strategy for discrete‐time Markovian jump linear systems with time‐varying controllable mode transition probability matrix

In this article, the state and mode feedback control strategy is investigated for the discrete‐time Markovian jump linear system (MJLS) with time‐varying controllable mode transition probability matrix (MTPM). This strategy, consisting of a state feedback controller and a mode feedback controller, is proposed to ensure MJLS's stability and meanwhile improve system performance. First, a mode‐dependent state feedback controller is designed to stabilize the MJLS based on the time‐invariant part of the MTPM such that it can still keep valid even if the MTPM is adjusted by the mode feedback control. Second, a generalized quadratic stabilization cost is put forward for evaluating MJLS's performance, which contains system state, state feedback controller, and mode feedback controller. To reduce the stabilization cost, a mode feedback controller is introduced to adjust each mode's occurrence probability by changing the time‐varying controllable part of MTPM. The calculation of such mode feedback controller is given based on a value‐iteration algorithm with its convergence proof. Compared with traditional state feedback control strategy, this state and mode feedback control strategy offers a new perspective for the control problem of general nonhomogeneous MJLSs. Numerical examples are provided to illustrate the validity of the proposed strategy.     

Simulation modelling and analysis of modular cascaded multilevel converter based shunt hybrid active power filter for large scale photovoltaic system interconnection

Modular multilevel inverters are promising candidates for next generation of efficient, robust and reliable inverters in large scale photovoltaic system. A modular cascaded multilevel inverter based shunt hybrid active power filter (SHAPF) for three phase grid-connected large scale PV systems is represented in this paper. The main contribution of this paper is to model and control of grid interfaced large scale photovoltaic system with embedded hybrid active power filter functions. In proposed system, the features of hybrid active power filter have been amalgamated in the control circuit of the voltage controlled voltage source inverter interfacing the photovoltaic system to the grid. As a result, the same inverter part of SHAPF is utilized to inject power generated from photovoltaic source to the grid and also to act as hybrid active power filter to compensate harmonics and reactive power demand. With using compensation ability, the grid currents are sinusoidal and in phase with grid voltages. The whole system is modeled in PSCAD/EMTDC. The simulation results are demonstrated to verify the operation and the control system of the proposed system.     

An anthropomorphic controlled hand prosthesis system

Based on HIT/DLR(Harbin Institute of Technology/Deutsches Zentrum für Luft-und Raumfahrt) Prosthetic Hand II,an anthropomorphic controller is developed to help the amputees use and perceive the prosthetic hands more like people with normal physiological hands.The core of the anthropomorphic controller is a hierarchical control system.It is composed of a top controller and a low level controller.The top controller has been designed both to interpret the amputee’s intensions through electromyography(EMG) signals recognition and to provide the subject-prosthesis interface control with electro-cutaneous sensory feedback(ESF),while the low level controller is responsible for grasp stability.The control strategies include the EMG control strategy,EMG and ESF closed loop control strategy,and voice control strategy.Through EMG signal recognition,10 types of hand postures are recognized based on support vector machine(SVM).An anthropomorphic closed loop system is constructed to include the customer,sensory feedback system,EMG control system,and the prosthetic hand,so as to help the amputee perform a more successful EMG grasp.Experimental results suggest that the anthropomorphic controller can be used for multi-posture recognition,and that grasp with ESF is a cognitive dual process with visual and sensory feedback.This process while outperforming the visual feedback process provides the concept of grasp force magnitude during manipulation of objects.     

Application of type-2 fuzzy logic system for load frequency control using feedback error learning approaches

In this paper, the type-2 fuzzy logic system (T2FLS) controller using the feedback error learning (FEL) strategy has been proposed for load frequency control (LFC) in the restructure power system. The original FEL strategy consists of an intelligent feedforward controller (INFC) (i.e. artificial neural network (ANN)) and the conventional feedback controller (CFC). The CFC acting as a general feedback controller to guarantee the stability of the system plays a crucial role in the transient state. The INFC is adopted in forward path to take over the control problem in the steady state. In this work, to improve the performance of the FEL strategy, the T2FLS is adopted instead of ANN in the INFC part due to its ability to model uncertainties, which may exist in the rules and measured data of sensors more effectively. The proposed FEL controller has been compared with a type-1 fuzzy logic system (T1FLS) – based FEL controller and the proportional, integral and derivative (PID) controller to highlight the effectiveness of the proposed method.     

A practical multiple model adaptive strategy for single-loop MPC

This paper details a multiple model adaptive control strategy for model predictive control (MPC). To maintain performance of this linear controller over a wide range of operating levels, a multiple model adaptive control strategy for dynamic matrix control (DMC), the process industry's standard for MPC, is presented. The method of approach is to design multiple linear DMC controllers. The tuning parameters for the linear controllers are obtained using novel analytical expressions. The controller output of the adaptive DMC controller is a weighted average of the multiple linear DMC controllers. The capabilities of the multiple model adaptive strategy for DMC are investigated through computer simulations and an experimental system.     

汽车操纵稳定性的自适应控制策略研究

针对汽车系统的非线性和参数不确定性,设计了一种“前馈+反馈”自适应神经模糊控制器,通过ESP和AFS的协调控制来提高汽车操纵稳定性.ESP反馈控制器采用模糊控制策略,以横摆角速度和质心侧偏角为控制目标;AFS前馈控制器采用径向基神经网络控制,以反馈控制器的输出作为误差进行学习,从而实现自适应控制.仿真结果表明,上述控制策略是可行和有效的,能显著改善汽车在高速或湿滑路面上的操纵稳定性.