基于有源滤波器一种控制方法的仿真研究

影响有源电力滤波器性能的两个关键环节是谐波电流检测和电流跟踪控制环节.本文基于瞬时无功功率理论的谐波电流检测方法,采用了滞环电流控制方法,提出了电压电流双闭环控制策略,详细分析了其工作原理并进行了Matlab仿真试验,结果表明具有较好的滤波效果.     

一种新型恒频滞环电流控制策略研究

并联型有源电力滤波器的变环宽滞环电流控制方法是根据电流幅值的变化适时调整滞环宽度,可有效保证滤波器的补偿性能,控制开关器件的开关频率。在传统的变环宽滞环电流控制算法的基础上,加入了电流限幅和频率PI反馈控制环节,限制了较大电流的波动,提高了频率的控制精度,以及有源电力滤波器的电流补偿性能。Matlab仿真结果表明,采用新型恒频滞环电流控制算法进行电流跟踪补偿时,系统的电流总畸变率小于采用传统变环宽滞环电流控制算法时的总谐波畸变率。     

基于滑模控制的三相四线制有源滤波器的研究

为了实现三相四线制系统中有源滤波器电流跟踪控制的快速性和鲁棒性．提出了一种基于滑模控制的有源滤波器。在d-q-0坐标系中建立三相四线有源滤波器的数学模型,通过逆系统的方法实现解耦和线性化,并对滑模控制的趋近律进行改进以削弱抖振、加快跟踪速率。仿真结果表明,采用滑模控制实现指令电流跟踪的有源滤波系统鲁棒性强、快速性好、跟踪误差低,总体性能得到明显提升。     

有源滤波器的研究现状综述

由于现代电力电子技术迅速的快速发展,电力系统中的谐波危害也日益严重,为了有效的抑制谐波提高电能质量,电力有源滤波器APF应运而生,它可以有效的对无功功率和频率、幅值均变化的谐波进行实时跟踪补偿。目前,APF已经成为电力电子技术中的一个重大研究课题。本文介绍了有源滤波器的基本工作原理、谐波电流检测方法及补偿电流控制方法、主电路类型等。     

基于磁通补偿原理的有源电力滤波器

根据电力电子系统的磁通补偿原理。介绍了一种基于磁通补偿原理和并联变压器谐波阻抗控制的有源电力滤波器的设计方案,给出了采用单位功率因数控制策略控制有源电力滤波器的基本结构和谐波电流检测方法。同时通过仿真实验,给出了对滤波器进行补偿的补偿电流和系统电流的波形。     

电力有源滤波器在供电系统中的应用

电力有源滤波器在供电系统中的主要应用是补偿电网中的谐波和无功功率,依此改善交流电源的供电质量。文中介绍了电力有源滤波器的电路结构以及控制方式。给出了电压型电力有源滤波器,电流型电力有源滤波器,多模式电力有源滤波器以及混合型电力有源滤波器的电路结构,并重点介绍无功电流和谐波电流的检测,逆变器直流侧电源电压的控制以及混合型电力有源滤波器的控制方案,最后给出了电力有源滤波器的补偿特性。     

电力有源滤波器在供电系统中的应用（续）

电力有源滤波器在供电系统中的主要应用是补偿电网中的谐波和无功功率,依此改善交流电源的供电质量。文中介绍了电力有源滤波器的电路结构以及控制方式。给出了电压型电力有源滤波器、电流型电力有源滤波器、多模式电力有源滤波器以及混合型电力有源滤波器的电路结构,并重点介绍无功电流和谐波电流的检测、逆变器直流侧电源电压的控制以及混合型电力有源滤波器的控制方案,最后给出了电力有源滤波器的补偿特性。     

补偿电铁谐波及无功电流的有源滤波器的研究

研究应用于补偿电铁谐波及无功电流的单相有源滤波器,基于鉴相原理的谐波及无功电流检测法适合于作为电铁谐渡及无功电流的检测方法,改进的三角波调制电流控制方法能对电铁系统中的谐波及无功电流起到很好的补偿作用.仿真结果表明有源滤波器能够达到综合补偿的目的.     

选择性有源滤波器治理12脉波整流器的谐波

文章介绍12脉波整流器应用选择性有源滤波器抑制谐波电流和补偿无功,采用基于瞬时功率理论的谐波和无功电流检测方法。对有源滤波器和负荷系统进行仿真,并对仿真结果进行详细分析。仿真结果表明：基于瞬时功率理论的谐波和无功电流检测方法可以准确、实时地检测出三相电流中的任意次谐波及无功电流,有源滤波器抑制11次和13次谐波电流,并补偿无功。     

并联型有源电力滤波器指定次无静差控制策略

为提高有源电力滤波器的补偿性能和动态响应,本文提出了一种基于同步旋转坐标系下的有源电力滤波器的新型的控制策略,通过与某指定次谐波频率同步旋转的旋转坐标变化,将该次谐波变成直流量进行PI调节,实现指定次谐波的检测和控制,然后反变换到与基波同步旋转的坐标系下进行指令的综合和PI再调节,理论上可以实现对任意指定次谐波的无静差补偿,与传统的电流环控制方法相比,补偿精度显著提高,动态响应好,在负载变化剧烈的场合具有明显的优势,也可以对非线性负载产生的谐波和无功电流进行全部补偿,以达到灵活补偿的目的。在改进的控制算法中可以灵活加入相角补偿,以补偿系统的检测环节和电流控制环引入的固有时延。理论分析和试验结果证明了提出的控制策略的优越性。     

新型终端滑模在光电稳定平台中的应用

为了提高光电伺服稳定平台的跟踪精度,针对系统中干扰的影响提出一种新型终端滑模控制算法。首先,提出一种新型终端滑模干扰观测器的设计方法,实现对系统中干扰的快速估计和实时补偿。其次,设计新型终端滑模控制器来提高系统的跟踪精度,结合有限时间收敛和自适应控制的思想,对切换增益进行在线调整,有效地抑制了滑模控制中的抖振问题,使系统状态能够在有限时间内快速地收敛到所设计的滑模面上,并对未估计干扰进行精细化补偿。最后利用Lyapunov理论证明控制系统的稳定性。实验结果表明:该控制策略保证了光电跟踪系统视轴对运动目标的跟踪精度,在0.05 Hz时误差小于0.002,在2 Hz时误差小于0.034,增强了系统的鲁棒性。     

Discrete sliding-mode control of a PWM inverter for sinusoidaloutput waveform synthesis with optimal sliding curve

This paper presents a discrete sliding-mode control scheme with feedforward compensation for the closed-loop regulation of the pulse-width modulated (PWM) inverter used in an uninterruptible power supply (UPS). The proposed feedforward controller can effectively improve the tracking performance of the PWM inverter. In designing the sliding-mode controller, we have taken load disturbance into consideration to enhance the robustness of the PWM inverter. Moreover, the upper bound of the load disturbance under which the sliding condition can be maintained has also been derived. The sliding curve of the sliding-mode controller is designed such that the behavior of the controlled PWM inverter is optimal subject to the selected cost function. Due to the coordinate transformation proposed in this paper, only the output voltage needs to be measured as feedback for the purpose of closed-loop regulation. Simulation and experimental results are given to show the effectiveness of the proposed control scheme     

Continuous variable structure controller for BLDDSM positioncontrol with prescribed tracking performance

The continuous, accurate, and robust sliding mode tracking controller based on a disturbance observer for a brushless direct drive servo motor (BLDDSM) is presented. Although the conventional sliding mode control (SMC) or variable structure control (VSC) can give the desired tracking performance, there exists an inevitable chattering problem in control which is undesirable for a direct drive system. With the proposed algorithm, not only are the chattering problems removed, but also the prescribed tracking performance can be obtained by using the efficient compensation of the disturbance observer. The design of the sliding mode tracking controller for the prescribed, accurate, and robust tracking performance without the chattering problem is given based on the results of the detailed stability analysis. The usefulness of the proposed algorithm is demonstrated through the computer simulations for a BLDDSM under load variations     

Control of a 2-DOF ultrasonic piezomotor stage for grommet insertion

The treatment of a common disease called “Otitis Media with Effusion (OME)” involves the surgeon inserting a grommet in the eardrum to bypass the Eustachian tube for draining fluid when medication fails. In this paper, a novel device for myringotomy and grommet insertion is first designed and introduced. Due to the advantages of high precision and fast response, a 2-DOF ultrasonic piezomotor (USM) stage is chosen to provide the motion sequences of the device, especially a precise path tracking during the grommet insertion. This paper briefly presents the mechanical design of the device and the configuration and control of the 2-DOF USM stage. The model of the USM consisting of a linear and nonlinear term is built. A PID controller is used as the main controller and tuned with the help of LQR technique. Since there are nonlinear dynamics caused by friction and hysteresis existing in the system, a nonlinear compensation including a sign function and sliding mode control is designed to reject the nonlinearity. Moreover, a decoupling controller is designed to eliminate the coupling effects between the two USM stages. The experimental results show that the LQR-assisted PID controller with compensation can achieve very good system performance and the decoupling controller can further improve the performance.     

An adaptive hierarchical control approach of vehicle handling stability improvement based on Steer-by-Wire Systems

This paper proposes a novel adaptive hierarchical control approach for Steer-by-Wire (SbW) vehicles to improve the handling stability. The high-level stability control scheme contains a variable steering ratio (VSR) strategy based on the adaptive-network-based fuzzy inference system (ANFIS) and an active front steering (AFS) controller designed with the integral sliding mode method by tracking the expected yaw rate, in which the desired front wheel angle is generated to enhance the cornering stability performance. Besides, an adaptive tracking controller (ATC) for the SbW system is designed by using the adaptive sliding mode control method to achieve desired steering performance in the lower level. The proposed adaptive control strategy is validated with different driving circles from ISO standards in simulation tests and hardware-in-the-loop (HiL) experiments. The results demonstrate that the designed control approach improve the vehicle handling stability significantly, even in some extreme driving conditions.     

Sliding mode control combined with extended state observer for an ankle exoskeleton driven by electrical motor

A novel sliding mode control combined with extended state observer (ESO) is proposed for an ankle exoskeleton driven by electrical motor. During the process of assisting, it is necessary to design an effective controller for assisting torque of ankle exoskeleton. However, the parameter uncertainty of complex dynamics model and the irregular motion of human ankle may affect the torque control accuracy. For a high control precision of assisting torque when facing the modeling uncertainty, the sliding mode control is employed, but a large switching gain is usually needed in order to suppress the disturbance, which cause the control signal vibrate greatly. ESO can observe and suppress the disturbance and modeling uncertainty, but its tracking performance needs to be improved. Therefore, the proposed complex controller takes the advantages of sliding mode control and extended state observer, which can not only improve torque tracking performance but also overcome the disturbance force caused by the change of human joint angle without increasing chattering of control signal. Experimental studies are carried out to validate the effectiveness of the proposed control. The results show the presented controller have better torque tracking performance and robustness stability, and the proposed controller can reduce the chattering compared with the tradition sliding mode control.     

Intelligent voltage control strategy for three-phase UPS inverters with output LC filter

This paper presents a supervisory fuzzy neural network control (SFNNC) method for a three-phase inverter of uninterruptible power supplies (UPSs). The proposed voltage controller is comprised of a fuzzy neural network control (FNNC) term and a supervisory control term. The FNNC term is deliberately employed to estimate the uncertain terms, and the supervisory control term is designed based on the sliding mode technique to stabilise the system dynamic errors. To improve the learning capability, the FNNC term incorporates an online parameter training methodology, using the gradient descent method and Lyapunov stability theory. Besides, a linear load current observer that estimates the load currents is used to exclude the load current sensors. The proposed SFNN controller and the observer are robust to the filter inductance variations, and their stability analyses are described in detail. The experimental results obtained on a prototype UPS test bed with a TMS320F28335 DSP are presented to validate the feasibility of the proposed scheme. Verification results demonstrate that the proposed control strategy can achieve smaller steady-state error and lower total harmonic distortion when subjected to nonlinear or unbalanced loads compared to the conventional sliding mode control method.     

直流微电网双向AC/DC变换器鲁棒前馈控制策略研究

针对双向AC/DC功率变换器在直流微电网母线电压稳定性方面的问题,文中提出了一种结合LESO和滑模理论的前馈鲁棒控制策略。通过建立直流微电网三相AC/DC双向功率变换器的动态数学模型,架构了三阶线性扩张状态观测器,并将三阶LESO的观测值用于滑模控制器的设计。该控制策略能够在不需要额外电流传感器的情况下实现前馈控制,并确保系统具有良好的动态性能。该策略还能够有效降低滑模控制的实现难度,提高系统的鲁棒性。仿真分析验证了文中所提控制策略的有效性。     

高超声速飞行器递阶滑模控制研究

针对高超声速飞行器轨迹高度和速度跟踪控制问题,基于纵向动力学的输入/输出线性化模型,设计了递阶滑模控制器和非线性扰动观测器,用于解决系统存在不确定性问题和执行机构带有死区非线性问题,对于所设计的控制器和观测器进行了稳定性分析,并且通过仿真验证了本文提出的方法能够提高系统的收敛速度和收敛精度并能克服执行机构死区的影响。     

滑模变结构在AUV航向控制中的应用

针对自主式水下机器人的控制特点,建立了机器人的动力学数学模型。利用运动解耦的方法完成了水下机器人完备控制量的构建。在滑模变结构控制理论的基础上,设计了水下机器人的分布式滑模控制系统,并在Simulink下完成滑模控制器的建模。预先设定了仿真过程中机器人的运动轨迹跟踪,结果表明,滑模控制能有效地控制AUV的航向,对外部扰动具有较强的鲁棒性。