改进ACO算法优化的PI控制器在直流输电控制中的应用

为了实现对高压直流输电系统PI控制器参数的优化,本文提出了一种针对信息素挥发因子的改进策略以克服蚁群算法易陷于局部最优解的缺陷。改进后的蚁群算法能够根据优化进程自适应地调整信息素挥发因子,在保持较高的收敛速度的情况下提高算法的全局搜索能力。文中基于改进的蚁群算法给出了一种系统化的直流输电PI控制器参数优化方法。根据实际工程参数搭建仿真模型,进行仿真计算,证明了方法的有效性和可行性。     

Application of genetic algorithm to speed servo system and positioning system

This paper considers a genetic algorithm application to feedforward controllers of speed servo and positioning systems. The system consists of a conventional feedback controller and a feedforward controller. The parameters of the feedforward controller are regarded as the chromosome on a gene. The genetic algorithm is used to tune the parameters of the feedforward controller, the objective of which is to make the feedforward controller a dynamic inverse of the plant. The tracking error between the desired output and the actual output at every sampling period is used to calculate the fitness of one gene. The range of mutation is dependent on the magnitude of the tracking error, which ensures parameter convergence. The effect of fitness function and the width of mutation on tracking performances is investigated. The experimental results demonstrate the effectiveness of the proposed genetic algorithm in improving tracking performances.     

Coordinated tuning of power system stabilizers using bio-inspired algorithms

This paper presents a comparison study among three bio-inspired optimization algorithms applied to solve the power system stabilizers tuning problem: Ant Colony Optimization, Bat Algorithm and Genetic Algorithm. The tuning procedure is formulated as an optimization problem which aims at minimizing the system damping taking into account a set of pre-specified operating scenarios. The proposed methodologies are applied to stabilizers tuning of the well-known New England test system.     

基于模糊PI的直流电动机调速系统优化设计

以给定的电动机为控制对象,分别运用几种工程设计方法设计了该电动机的控制系统.为进一步提高该电动机的工作性能,采用模糊PI两级复合控制策略.通过Matlab仿真比较了以上各工程设计方法之间的优劣,并证实模糊PI控制方法能使该电动机的动态性能获得很大改善.     

A meta-heuristics search algorithm as a solution for energy transfer maximization in stand-alone photovoltaic systems

This paper studies the problem of MPPT (maximum power point tracking) for photovoltaic systems. The paper offers new solution framework for the above mentioned popular problem in two senses. Firstly a novel MPPT technique is presented. The main idea behind it is to improve the computational efficiency of the traditional incremental conductance tracking algorithm. This is achieved by integration with the fractional open circuit voltage method leading to fast and accurate convergence to the MPP. Secondly, with the aid of certain class of meta-heuristics search algorithms – inspired from the real ant behavior – the MPPT problem is amenable to solution for two different and well known control schemes namely incremental conductance plus proportional integral controller and fuzzy control. A comparison with conventional approach reflects the superiority of the new framework even under fast changing climatic conditions.     

Modeling,control and analysis of cascaded inverter based grid-connected photovoltaic system

This paper proposes a vector controlled isolated source cascaded two-level inverter (CTLI), for grid connected photovoltaic (PV) system. The system is controlled to operate with variable solar irradiance, supplying different levels of active power. The PV systems are designed, modeled and tested with the proposed controller, to provide maximum power output. Additional operation as a reactive power supplier, in the absence of solar radiation, is also tested. A simple sinusoidal pulse width modulation (PWM) technique is used, instead of referred space vector PWM (SVPWM) technique, for the operation. Two different schemes have been considered to operate the inverter with equal and unequal DC-link voltages. The control scheme has been found working, for both active and reactive power supply in steady state and transient conditions. The power supplies of both the schemes are analyzed. The controller performance is found to be satisfactory for both the schemes to extract maximum power at the considered working conditions.     

基于非线性模型的开关磁阻电机自适应模糊控制

开关磁阻电机（SRM）结构特殊且具有严重非线性,开关磁阻电机驱动系统（SRD）更是一个多变量高度耦合,非线性极强的控制系统,采用常规控制方式难以获得良好的控制效果,为研究自适应模糊控制对SRD控制系统的有效性,本文从建立SRM非线性电感模型入手,导出适合于控制策略研究的SRM非线性数学模型,基于此模型进行了SRD系统自适应模糊控制的仿真与实验研究,结果表明这种自适应模糊控制能使SRD获得较好的动,静态特性。     

基于IGA的USM速度智能控制系统研究

针对超声波电机参数的时变性、系统内在的非线性和系统的强耦合性等特点,提出基于免疫遗传算法的超声波电机模糊神经网络速度控制策略。实验结果表明,与传统模糊神经网络速度控制相比,采用该方法的系统能较好地实现设定的超声波电机速度参考模型的自适应跟踪,响应速度脉动小,具有控制灵活、适应性强、控制精度高、鲁棒性强等优点。     

基于果蝇算法的开关磁阻电机多目标优化研究

针对采用传统算法对开关磁阻电机(SRM)本体进行多目标优化时存在算法复杂、调节参数多、计算量大且易陷入局部最优解等问题,提出一种基于果蝇算法(FOA)的SRM本体多目标优化设计方法。利用极限学习机算法建立SRM非参数模型,采用FOA算法对其进行优化,实现了SRM定转子极弧的全局最优设计,最后对该优化算法的效果进行了仿真验证,同时与传统粒子群优化算法(PSO)进行了对比分析,结果表明,FOA算法不仅获得了较PSO算法更好的转矩波动系数和效率指标,而且具有参数设置少、收敛速度快且不易陷入局部最优解等特点,具有较好的应用价值。     

基于蚁群算法和LSSVM的锅炉燃烧优化预测控制

火电厂锅炉燃烧过程是一个复杂的多输入/多输出系统,具有高度非线性、强耦合的特点.借助燃烧特性试验数据,利用最小二乘支持向量机(LSSVM)建立锅炉燃烧模型,使用非线性模型预测控制(MPC)算法对锅炉燃烧过程进行优化和控制.提出一种改进蚁群算法用于求解预测控制算法中的非线性优化问题,采用动态随机抽取方法来确定目标个体引导...     

Chaotic ant swarm optimization for fuzzy-based tuning of power system stabilizer

In this paper, chaotic ant swarm optimization (CASO) is utilized to tune the parameters of both single-input and dual-input power system stabilizers (PSSs). This algorithm explores the chaotic and self-organization behavior of ants in the foraging process. A novel concept, like craziness, is introduced in the CASO to achieve improved performance of the algorithm. While comparing CASO with either particle swarm optimization or genetic algorithm, it is revealed that CASO is more effective than the others in finding the optimal transient performance of a PSS and automatic voltage regulator equipped single-machine-infinite-bus system. Conventional PSS (CPSS) and the three dual-input IEEE PSSs (PSS2B, PSS3B, and PSS4B) are optimally tuned to obtain the optimal transient performances. It is revealed that the transient performance of dual-input PSS is better than single-input PSS. It is, further, explored that among dual-input PSSs, PSS3B offers superior transient performance. Takagi Sugeno fuzzy logic (SFL) based approach is adopted for on-line, off-nominal operating conditions. On real time measurements of system operating conditions, SFL adaptively and very fast yields on-line, off-nominal optimal stabilizer variables.     

基于TMS320LF2407A的直流调速系统研究

对基于TMS320LF2407A的直流调速系统进行了深入的研究,设计的数字化直流调速系统主电路采用IGBT组成H型PWM变换器,以16位高性能DSP芯片TMS320LF2407A作为主控芯片实现数字控制,其特点是用DSP取代模拟触发器、电流调节器、速度调节器及逻辑切换等硬件,系统的电流调节器和转速调节器都用PI调节器,对系统进行了硬件及软件设计,在理论分析的基础上搭建了实验系统并进行了实验,给出了实验结果.     

Improvement of power system stability by high-speed power control of adjustable speed machines

Large-capacity adjustable speed machines (ASMs) at pumped storage power stations have been put into full operation and their operating characteristics have been highly evaluated from the viewpoint of power system operation. The output power (input power) of ASMs can be controlled very quickly by applying a vector control scheme to the excitation control. This quick responsive feature of ASMs can make it possible to improve the stability of the neighbor subpower system. For improvement of transient stability, the output power of ASMs is reduced very quickly in order to control the acceleration of neighbor generators during and after transmission line faults. For improvement of dynamic stability, the output power of ASMs is modulated in accordance with the stabilizing signals detected from the swing of generator rotor or the power flow fluctuation on the transmission line. This paper describes the design concepts and method of control system for improving the transient and dynamic stability and proposes a power system stabilizing control system. The effects of the proposed stabilizing control system have been verified by a power system simulator. © 1997 Scripta Technica, Inc. Electr Eng Jpn, 121(2): 27–36, 1997     

基于Buck-Boost矩阵变换器的异步电机调速系统控制策略

针对以Buck-Boost矩阵变换器(BBMC)为功率变换器的异步电机调速系统,提出一种基于有限时间控制的变频调速控制方法。首先,根据异步电机的给定转速,经基于PI-IP控制的矢量控制算法获得异步电机的给定电压,并以该给定电压作为BBMC的参考输出电压。再以BBMC中电容电压与电感电流作为系统控制变量,经有限时间控制算法得到BBMC中对应功率开关的占空比。再根据该占空比对BBMC中对应功率开关实施控制,由此可在BBMC输出端获得与其参考输出一致的输出电压,从而实现异步电机实际转速对其给定转速的准确跟踪,达到对异步电机转速进行准确控制的目的。最后通过仿真和实验对上述控制方法进行了验证。     

基于PLC的串级调速系统在全速状态下的故障处理

本串级调速系统在工业控制领域里占据着重要的位置,特别是在异步电机调速领域。传统的控制系统采用单片机作为控制元件,但是由于单片机自身的易损坏性和抗干扰能力差的特性,使其在工作环境恶劣时容易使控制系统不稳定甚至遭到破坏。PLC由于其抗干扰能力强和易于编程等特性,在电机调速领域迅速得到了广泛应用,本文将重点论述PLC控制系统在电机全速状态下发生故障时所采取的相关操作以显示PLC控制系统的优质特性。     

Design of deadbeat control system using multirate controller and its application to speed control of induction motor

This paper proposes a design method of an optimal deadbeat control system that takes into account the response between the sampling instant. The sequence of the deadbeat control signal that minimizes the quadratic performance index for the manipulated variable and deviation can be obtained easily from the matrix computation using the step response of the system. Then, the series compensation controller and series integral + local feedback compensation controller with fictitious sampler can be designed by using sequence of the control signal. The results of a computer simulation by the present method and application of this method to a speed control system of the inverter-fed induction motor have been studied in order to explore the control effect. The method seems to be useful for practical application. © 1997 Scripta Technica, Inc. Electr Eng Jpn, 118 (1): 83–92, 1997     

基于变比例-退饱和式PI调节器的-开关磁阻电机调速系统设计

开关磁阻电机调速系统的积分饱和现象导致了系统的控制性能较差,针对这一问题,提出了变比例-退饱和式PI调节器设计方法,并给出了调节器参数整定方法。此外,分别在恒速空载和变速带载情况下,利用MATLAB/Simulink软件验证了传统PI调节器、抗饱和式PI调节器和变比例-退饱和式PI调节器的控制性能。结果表明:变比例-退饱和式PI调节器具有更好的动态性能和抗扰性能。     

Bacteria foraging optimization algorithm based load frequency controller for interconnected power system

Social foraging behavior of Escherichia coli bacteria has recently been explored to develop a novel algorithm for distributed optimization and control. The Bacterial Foraging Optimization Algorithm (BFOA), as it is called now, is currently gaining popularity in the community of researchers, for its effectiveness in solving certain difficult real world optimization problems. This paper proposes BFOA based Load Frequency Control (LFC) for the suppression of oscillations in power system. A two area non-reheat thermal system is considered to be equipped with proportional plus integral (PI) controllers. BFOA is employed to search for optimal controller parameters by minimizing the time domain objective function. The performance of the proposed controller has been evaluated with the performance of the conventional PI controller and PI controller tuned by genetic algorithm (GA) in order to demonstrate the superior efficiency of the proposed BFOA in tuning PI controller. Simulation results emphasis on the better performance of the optimized PI controller based on BFOA in compare to optimized PI controller based on GA and conventional one over wide range of operating conditions, and system parameters variations.     

光伏并网系统的输出电流控制方案

光伏并网输出电流有两个重要指标,为了减少电网受到的谐波污染,需减小谐波电流失真(THD);为了减少电网无功损耗,需提高功率因数。设计模拟和数字式两种控制方法实现并网,在相同的控制参数下进行SIMULINK仿真,并对比控制效果。结果证明,模拟式控制的THD为1.5%,数字式控制的THD为5%,并为模拟控制提出了可行方案。     

基于光伏减载的电力系统紧急降风险控制方法

光伏发电系统通常运行于最大功率点,难以在紧急条件下为电网提供功率支撑.受制于建设和运行成本,储能的大规模应用还难以实现,同步发电机占比的降低使得含高比例光伏发电的电网安全风险不断增加.为此,分析了光伏发电系统的功率特性和稳定运行条件,提出了通过光伏减载运行预留备用功率从而为电网提供紧急功率支撑的思想.进而分析了协议发电...