Inverse Model Control for a Quad-rotor Aircraft Using TS-fuzzy Support Vector Regression

An inverse model control based on TS-fuzzy support vector regression( TS-fuzzy SVR) for a quadrotor aircraft is developed. The TS-kernel is the product of linear combination of input and a cluster of output corresponding to a cluster of TS-type fuzzy rules. The output of TS-fuzzy SVR is a linear weighted sum of the TSkernels. The dynamical model of the quad-rotor aircraft is derived. A new control scheme combined with TSfuzzy SVR inverse model control and PID control is presented so that the TS-fuzzy SVR inverse model control enhances capabilities of disturbance rejection and the robustness while the PID control enhances fast responsiveness and reliability of the system. Simulation results show the capabilities of the developed control for the attitude system of quad-rotor aircraft.

Sensorless Vector Control of Parallel-Connected Multiple Induction Motors Fed by a Single Inverter

A method of improving the stability of multiple-motor drive system fed by a 3-leg single inverter has been devised that employs the averages and differences of estimated parameters for field-oriented control. The parameters of each motor (stator current, rotor flux, and speed) are estimated using adaptive rotor flux observers to achieve sensorless control. The validity and effective of the proposed method have been demonstrated through simulations and experiments.

Intelligent control for large-scale variable speed variable pitch wind turbines

Large-scale wind turbine generator systems have strong nonlinear multivariable characteristics with many uncertain factors and disturbances. Automatic control is crucial for the efficiency and reliability of wind turbines. On the basis of simplified and proper model of variable speed variable pitch wind turbines, the effective wind speed is estimated using extended Kaiman filter. Intelligent control schemes proposed in the paper include two loops which operate in synchronism with each other. At below-rated wind speed, the inner loop adopts adaptive fuzzy control based on variable universe for generator torque regulation to realize maximum wind energy capture. At above-rated wind speed, a controller based on least square support vector machine is proposed to adjust pitch angle and keep rated output power. The simulation shows the effectiveness of the intelligent control.

Learning fuzzy controller and extended Kalman filter for sensorless induction motor robust against resistance variation

This paper presents a new sensorless vector controlled induction motor drive robust against rotor resistance variation. Indeed, the speed and rotor resistance are estimated using extended Kalman filter （EKF）. Then, we introduce a new fuzzy logic speed controller based on learning by minimizing cost function. This strategy is based on a topology control self-organized and an algorithm for modifying the knowledge base of fuzzy corrector. The learning mechanism addresses the con- sequences of corrector rules, which are modified according to the comparison between the current speed of machine and an output signal or a desired trajectory. Thus, fuzzy associative memory is constructed to meet the criteria imposed in problems either control or pursuit. The consequent algorithm updating consists of a regulator mechanism allowing a fast and robust learning without unnecessarily compromising the control signal and steady- state performance. The performance of this new strategy is satisfactory, even in the presence of noise or when there are variations in the parameters of induction motor drive.

一种自适应扩展卡尔曼滤波的永磁同步电机无位置传感器矢量控制

在粗差干扰或噪声统计偏差情况下,扩展卡尔曼滤波(EKF)对永磁同步电机(PMSM)的速度和转子位置估计存在精度下降问题,为此提出一种基于新息序列的自适应扩展卡尔曼滤波算法(AEKF)。首先,将粗差干扰加入系统观测方程中,分析粗差干扰对系统观测精度的影响。其次,为增强算法的抗扰性能,在新息协方差计算中设置加权系数,通过调整临近时刻的新息协方差阵权重,计算出新息协方差值,并更新到卡尔曼增益的计算。最后,建立AEKF数学模型,并对比粗差干扰与噪声统计出现偏差情况下,AEKF与EKF两种策略的观测性能。仿真和实验结果表明,在粗差干扰或噪声统计信息出现偏差情况下,AEKF算法对永磁同步电机转速的观测具备更强的鲁棒性及更高的预测精度。

模糊自适应交流异步电机矢量控制

为提升传统交流异步电机矢量控制系统的控制效果,解决由交流电机特性带来的响应速度慢和稳态抖动等问题,设计了一种模糊自适应矢量控制系统,对传统的矢量控制系统进行改进,设计了按转子磁场定向的四闭环矢量控制系统,并且针对传统矢量控制的稳态波动问题,加入了设计的定值控制器。在MATLAB/Simulink中搭建了仿真系统,为使实验结果更贴合实际,设计了交流异步电机所使用的整流逆变电路。仿真实验结果表明:该控制系统的动态性能更好,响应速度更快,且提升了抵抗负载的能力,具有更强的自适应性和鲁棒性。

Power Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller

This paper presents a novel method of power quality enrichment in a grid-connected photovoltaic(PV) system using a distribution static compensator(DSTATCOM). The paper consists of two-step control processes. In the primary step, a fuzzy logic controller(FLC) is employed in the DC-DC converter to extract the peak power point from the PV panel, where the FLC produces a switching signal for the DC-DC converter.In the secondary step, a unit vector template(UVT)/adaptive linear neuron(ADALINE)-based least mean square(LMS) controller is adopted in the DC-AC converter, i. e., voltage source converter(VSC). The input to this VSC is the boosted DC voltage, which originates from the PV panel as a result of DC-DC conversion. The VSC shunted with the power grid is known as a DSTATCOM, which can maintain the power quality in the distribution system. The UVT controller generates reference source currents from the grid voltages and DC-link voltages.The ADALINE-based LMS controller calculates the online weight according to the previous weights by the sensed load current. The UVT/ADALINE-based LMS controller of a DSTATCOM performs several tasks such as maintaining the sinusoidal source current, achieving a unity power factor, and performing reactive power compensation. The reference current extracted from the UVT/ADALINE-based LMS controller is fed to the hysteresis current controller to obtain the desired switching signal for the VSC. A 100 k W solar PV system integrated into a three-phase four-wire distribution system through a four-leg VSC is designed in MATLAB/Simulink. The performances of the FLC and UVT/ADALINE-based LMS controllers are demonstrated under various irradiances as well as constant temperature and nonlinear loading conditions.

电阻炉温度控制系统优化

电阻炉是一种广泛应用于各种工业和实验室应用的设备,它通过电流加热炉内的金属电阻丝来产生热量。电阻炉具有加热均匀、温度控制精确、热效率高、使用寿命长等优点,因此在许多领域中得到了广泛应用。电阻炉温度受到多种因素的影响,包括负载变化、环境变化和传热特性等,极大的影响了系统的快速响应以及调节能力。电阻炉温度控制是一个涉及多个方面的复杂过程。通过合理的目标设置、有效的控制系统、以及适当的温度均匀性和过热防护措施,可以实现电阻炉的高效、安全和稳定运行。基于传统电阻炉温度控制系统存在的问题进行分析,分析进行优化控制的意义,分析电阻炉的物理特性以及温度响应,构建电阻炉温度模型,并提出基于模糊自适应PID算法的温度控制优化算法,以提升电阻炉的实际工作能力。

一种异步电机转子电阻在线识别技术

针对异步电机转子电阻识别结果偏差较大的问题,文中提出了一种基于融合神经网络的异步电机转子电阻在线识别技术。该技术方案以模型参考自适应识别技术作为基础框架,采用电压模型磁链观测系统作为参考单元,用电流模型磁链观测系统作为调控单元,设计了基电压和电流模型的转子电阻识别方法。并进一步通过卷积神经网络对参考单元系统模型进行训练优化,实现对异步电机转子电阻在线的精确识别。实验测试结果表明,该技术方案的可行性较高,比同类方法的转子电阻识别响应速度提升了约25%,识别精度也达到了较高水平,且具有较强的抗扰动稳定性,为异步电机矢量控制的策略设计提供了一种新思路。

An online estimator for rotor resistance in vector drives of induction machines based on Walsh functions

In a modern electrical driver, rotor field oriented control an appropriate transient response. In this method, the space （RFOC） method has been used to achieve a good performance and vector of the rotor flux comes handy by the rotor resistance value. The rotor resistance is one of the important parameters which varies according to motor speed and room temperature alteration. In this paper, a new on-line estimation method is utilized to obtain the rotor resistance by using Walsh functions domain. The Walsh functions are one of the most applicable functions in piecewise constant basis functions （PCBF） to solve dynamic equations. On the other hand, an integral operational matrix is used to simplify the process and speed of the computation algorithm. The simulations results show that the proposed method is capable of solving the dynamic equations in an electrical machine on a time interval which robustly estimates the rotor resistance in contrast with injection noises.

基于转子磁链q轴分量的异步电机间接矢量控制转差频率校正

异步电机间接矢量控制系统在工业场合应用广泛,然而其性能易受转子电阻参数变化等因素影响。该文将定子电流矢量定向同步坐标系下的转子磁链观测器与间接矢量控制系统相结合,利用观测器得到的实际磁链计算转子磁场定向下转子磁链的q轴分量,并根据定向准确情况下转子磁链q轴分量为零的特点提出一种间接矢量控制转差频率校正方法,保证间接矢量控制系统对转子磁场的准确定向。详细介绍了该校正方法的基本原理和系统框图,并进行了稳定性分析。仿真和实验结果证明了该校正方法的有效性。

永磁同步电机变论域自适应模糊PID控制

永磁同步电机是一个多变量、非线性、强耦合的系统,采用传统的控制方法,容易受电机参数变化和负载扰动等不确定因素的影响,难以取得令人满意的控制效果。该文提出一种变论域自适应模糊PID复合控制策略,采用变论域模糊控制实现控制参数自整定和控制规则的自调整,并将其应用到基于矢量控制的永磁同步电机伺服系统速度环中。结果表明,该方法具有动态响应快、抗干扰能力和鲁棒性强等优点。

电能质量控制技术综述

电能质量包括电压质量、频率质量和供电可靠性 3个方面 ,其中又以电压质量问题最为普遍。文中首先介绍了目前采用较为广泛的几种电能质量评价指标 ;其次介绍了包括 PID控制、自适应控制及智能控制等电能质量分析与控制方法。最后指出了电能质量控制技术的发展趋势。

矢量控制中感应电动机转子电阻的自适应辨识

异步电动机的转子电阻在电机运行中由于温升、集肤效应等原因 ,往往是电机控制系统中变化最为明显的参数之一。如何准确、快速的辨识异步电动机转子电阻 ,以提高整个矢量控制系统的鲁棒性 ,一直以来是国内外研究的重点。转子电阻对异步电动机调速系统的影响由于控制策略和控制结构的不同而有所差别。本文在异步电动机矢量控制系统中提出了一种基于转子磁场定向的转子电阻自适应辨识方法。这种方法结构简单 ,计算量少 ,而且仿真和实验结果证明这种方法可以准确、快速的辨识转子电阻。

感应电机矢量控制中转子参数自适应辨识

分析了转子参数变化对感应电机矢量控制解耦的影响,提出了一种对感应电机转子参数进行估算的自适应辨识方法。基于Lyapunov稳定性原理,设计转子参数的自适应规律。利用Matlab/Simulink建立了感应电机矢量控制系统下的转子参数自适应辨识模型,仿真验证了方法的正确性,为校正矢量控制系统定向偏差提供了一定的理论和实践参考。

基于径向基神经网络的不确定非线性系统的鲁棒自适应控制

针对能够采用仿射非线性表示的含有不确定动态的非线性系统 ,提出了一种鲁棒自适应控制方法 ,该方法根据离线辨识出的受控对象的已知部分 ,采用神经网络在线辨识其未知部分 ,并针对辨识得到神经网络模型采用反馈线性化方法设计出自适应控制器 ,同时引入滑模控制方法以增强控制系统的鲁棒性 ,从而实现鲁棒自适应控制。通过对具有未建模动态的非线性直升机空气动力学模型 ,设计了总距通道系统。

车辆多模式多目标自适应巡航控制

为增强量产ACC对前车驾驶意图的预判与自适应能力,发展了一种多目标自适应巡航控制算法,建立闭环纵向跟驰模型。基于模型预测控制理论,综合协调巡航过程中驾驶员期望响应、跟驰安全性、车辆自身物理限制等控制目标,并引入松弛向量以确保滚动在线优化存在可行解。采用待优化目标与控制输入权重调校以及控制器工作域边界松弛的策略,将ACC系统划分出6种工作模式,同时采用模糊推理与加速度加权平均策略,以实现工作模式最佳匹配与平稳过渡。仿真结果表明,多模式设计策略与多目标控制算法能够一定程度上提升ACC系统的适应性与友好性。

采用定子电阻辨识和无速度传感器的异步电机直接转矩控制模糊系统

为解决异步电动机直接转矩控制(direct torque control,DTC)中低速运行时定子电阻变化对系统性能影响较大的问题,提出了一种基于定子电阻辨识和无速度传感器的异步电机直接转矩控制模糊系统。其中定子电阻采用模糊神经网络进行辨识;电机转速采用基于转子磁链的模型参考自适应系统(model reference adaptive sys-tem,MRAS)法进行估计;同时采用三输入单输出的模糊控制器调节脉冲宽度调制(pulse width modulation,PWM)信号占空比的异步电动机直接转矩控制的策略,三输入变量为转矩误差、磁链幅值误差和磁通角。此策略即在传统异步电动机直接转矩控制的基础上,用模糊控制器代替传统DTC中的滞环比较器和空间电压矢量状态选择器来细分控制规则,最后控制逆变器的开关,以减小低速时转矩和磁链脉动,提高系统转矩响应速度。仿真结果表明该系统可减小转矩和磁链脉动,提高系统的鲁棒性和自适应性,改善系统的动、静态品质。

模糊控制在永磁同步电机调速系统中的应用

传统PI控制器基于线性系统设计且参数固定,不能满足高性能控制的要求。而模糊控制不依赖于控制对象的数学模型,能够根据模糊信息实行精确控制。为了结合PI控制和模糊控制的优点,设计了一种模糊自适应PI控制器,并应用到永磁同步电机矢量控制调速系统中。该控制器能根据外部和内部参数的变化自动调节PI控制器的参数。仿真结果验证了,采用模糊自适应PI控制器的永磁同步电机矢量控制调速系统具有更好的动态和鲁棒性能。

UPFC控制方法研究

论文通过开关函数建模法确定统一潮流控制器(UPFC)的数学模型;在park变换的基础上,基于预测电流设计UPFC的d-q轴解耦控制方案。论文利用电压空间矢量脉宽调制法推导出UPFC各桥臂电力电子器件的开关状态。考虑到UPFC中间直流电容上电压控制的重要性,论文在传统PID控制的基础上,设计模糊自适应PID控制策略;MATLAB仿真结果表明,控制方案能有效地提高直流电容上电压的稳定性,改善功率波形,取得了类似扩大电容容量后的效果。系统可供同类设计参考。