参数不确定永磁同步电机混沌的模糊控制

通过Takagi-Sugen控制技术,建立了参数不确定永磁同步电机的Takagi-Sugen模糊控制模型,然后利用矩阵分析和Lyapunov稳定性理论,得到了参数不确定永磁同步电机渐进稳定的充分条件,最后通过实例证实了结果的正确性,相比传统的模糊控制方法,基于Takagi-Sugen模型的模糊控制方法具有一定的优越性. 关键词： 混沌控制 Takagi-Sugen模型 模糊控制 永磁同步电机     

基于扩张状态观测器的永磁同步电机混沌系统自适应滑模控制

针对部分状态不可测的永磁同步电机混沌系统, 结合自适应滑模控制和扩张状态观测器理论, 提出一种基于扩张状态观测器的永磁同步电机自适应混沌控制方法, 取消了系统所有状态完全可测的限制. 通过坐标变换, 将永磁同步电机混沌模型变为更适宜控制器设计的Brunovsky标准形式. 在系统部分状态和非线性不确定项上界均未知的情况下, 基于扩张状态观测器估计系统未知状态及不确定项, 并设计自适应滑模控制器, 保证系统状态快速稳定收敛至零点. 仿真结果表明, 该控制器能够改善滑模控制的抖振问题以及提高系统鲁棒性. 关键词： 永磁同步电机 混沌控制 扩张状态观测器 自适应滑模     

参数不确定永磁同步电机混沌系统的有限时间稳定控制

针对含有参数不确定性的永磁同步电机混沌系统, 结合主动控制与有限时间稳定控制理论, 提出一种改进的主动有限时间稳定控制器. 该控制器不仅具有较强的鲁棒性, 而且可以通过调整终端吸引子比例系数, 有效地缩短系统的响应时间, 以提高系统的响应能力. 通过仿真实验, 验证了该控制器比传统的控制器的具有更强的鲁棒性和响应能力. 关键词： 永磁同步电机 混沌控制 有限时间稳定 主动控制     

基于永磁同步电机的光电设备新型驱动研究

针对目前光电设备中直流电机的惯量大、成本高、需要维护等问题,提出了交流伺服控制系统,以适应新型光电设备的发展要求或替代目前的直流控制系统。以永磁同步电机为控制对象,分析了永磁同步电机的磁场定向矢量控制原理,以获得类似直流电动机的控制效果。通过复合式光电编码器确定永磁同步电动机转子的初始位置,设计了永磁同步电机伺服控制系统的硬件电路。以id-0的矢量控制方法实现了永磁同步电机位置闭环伺服控制,能够满足新型光电设备跟踪控制系统的快速与稳定性要求。     

基于模糊PID控制的永磁同步电机控制器研究

为了提高复杂环境条件下永磁同步电机（PMSM）控制器的动态控制性能与抗干扰能力,分析了永磁同步电机的速度-电流（或力矩）双闭环控制调速结构,提出了一种基于模糊PID控制原理的速度环控制策略。速度环运行时,模糊PID控制器首先将永磁同步电机转速的误差及误差变化率进行模糊化处理,然后依据模糊规则进行模糊推理,并自动在线整定出速度环PID的三个系数（比例系数、积分系数、微分系数）,不仅减少了速度环的调节时间,也能增强抵御来自电流环（或力矩环）的干扰。仿真结果表明,当永磁同步电机的转速发生变化或负载发生扰动时,相比于传统的PID控制器,模糊PID控制器能提高系统的动态性能与鲁棒性。该方法用于永磁同步电机的控制是可行、有效的。     

鲁棒PDF控制策略在永磁同步电机系统中的设计及仿真

对电机控制系统的经典反馈设计方案是建立在简化的受控对象模型基础之上,而实际模型参数的变化会引起控制系统性能的改变。本文针对实际应用的永磁同步电机,为了保证电机控制系统的强鲁棒性,通过对其系统灵敏度的理论推导,给出了一种新的控制器参数设计方法。该设计方法以系统灵敏度为评价指标来度量系统的鲁棒性,结合应用于二阶控制对象的伪微分反馈控制器结构,来削弱控制对象参数值的改变对控制系统性能的影响。并建立了精确的永磁同步电机仿真模型,将该方法应用于其速度控制。仿真结果表明在该控制方案下,在永磁同步电机的转动惯量和定子电阻值变化时具有较小超调量变化(小于4%)的响应特性。同时与普通PID控制对比分析,验证了用该方案设计的PMSM调速系统具有较高的抗参数变化的鲁棒性。     

基于多核最小二乘支持向量机的永磁同步电机混沌建模及其实时在线预测

提出了多核最小二乘支持向量机的永磁同步电机混沌系统建模方法. 通过不同核函数的线性加权组合构造新的等价核,降低建模精度对核函数及其参数选择的依赖性. 理论上给出多核最小二乘支持向量机回归参数和模型输出值的求解方法. 采用关联积分计算方法对永磁同步电机混沌系统进行相空间重构,以窗式移动的在线学习方式对重构后的永磁同步电机混沌序列进行一步和多步实时在线预测,并讨论了不同测量噪声对该方法的影响. 仿真结果表明,该方法能有效提高永磁同步电机混沌系统的建模精度,具有良好的抗噪能力. 关键词： 永磁同步电机 多核学习 最小二乘支持向量机 混沌预测     

基于多核最小二乘支持向量机的永磁同步电机混沌建模及其实时在线预测

提出了多核最小二乘支持向量机的永磁同步电机混沌系统建模方法. 通过不同核函数的线性加权组合构造新的等价核,降低建模精度对核函数及其参数选择的依赖性. 理论上给出多核最小二乘支持向量机回归参数和模型输出值的求解方法. 采用关联积分计算方法对永磁同步电机混沌系统进行相空间重构,以窗式移动的在线学习方式对重构后的永磁同步电机混沌序列进行一步和多步实时在线预测,并讨论了不同测量噪声对该方法的影响. 仿真结果表明,该方法能有效提高永磁同步电机混沌系统的建模精度,具有良好的抗噪能力.     

基于PXI和RT-LAB的永磁同步电机快速控制原型设计

针对永磁同步电机控制器存在算法复杂、代码量大、开发周期长等问题,实现一种基于虚拟仪器的永磁同步电机快速控制原型系统。设计快速控制原型硬件平台,并对硬件设备进行选型,包括PXI虚拟仪器、功率驱动模块、电机对拖台架等;研究永磁同步电机转子磁场定向控制原理基础上,以一台3.1KW被测电机为被控对象,在RT-LAB实时仿真软件环境下,搭建永磁同步电机控制算法模型。实验结果表明,电机转速与定子电流均可无偏差跟踪参考给定值,系统控制性能良好,且该系统使电机控制器开发周期缩短、成本降低。     

直驱式永磁同步风力发电机中混沌运动的滑模变结构控制

以直驱式永磁同步风力发电机（D-PMSG）作为研究对象,推导了其数学模型,论证了在某些参数及工作条件下会出现混沌运动,提出了D-PMSG混沌运动的滑模变结构控制方法,通过控制桨距角β来实现.针对风力机系统的非线性,参数变化等特性,根据风力机机理,基于一定假设得到风力机在某一工况点线性模型,进而提出滑模变结构控制方案,充分利用变结构控制对被控对象的模型误差、对象参数的变化以及外部干扰有极佳的不敏感性的优点.仿真结果表明所提出控制方案的有效性,控制响应速度快,控制鲁棒性好,能适用于系统具有不确定 关键词： 风力发电 直驱式永磁同步风力发电机组（D-PMSG） 混沌控制 滑模变结构控制     

Fuzzy Impulsive Control of Permanent Magnet Synchronous Motors

The permanent magnet synchronous motors （PMSMs） may experience chaotic behaviours with systemic parameters falling into a certain area or under certain working conditions, which threaten the secure and stable operation of motor-driven. Hence, it is important to study the methods of controlling or suppressing chaos in PMSMs. In this work, the Takagi-Sugeno （T-S） fuzzy impulsive control model for PMSMs is established via the T-S modelling methodology and impulsive technology. Based on the new model, the control conditions of asymptotieal stability and exponential stability for PMSMs have been derived by the Lyapunov method. Finaily, an illustrated example is also given to show the effectiveness of the obtained results.     

Impulsive control of permanent magnet synchronous motors with parameters uncertainties

The permanent magnet synchronous motors (PMSMs) may have chaotic behaviours for the uncertain values of parameters or under certain working conditions, which threatens the secure and stable operation of motor-driven. It is important to study methods of controlling or suppressing chaos in PMSMs. In this paper, robust stabilities of PMSM with parameter uncertainties are investigated. After the uncertain matrices which represent the variable system parameters are formulated through matrix analysis, a novel asymptotical stability criterion is established. Some illustrated examples are also given to show the effectiveness of the obtained results.     

Impulsive control for permanent magnet synchronous motors with uncertainties: LMI approach

A permanent magnet synchronous motor (PMSM) may have chaotic behaviours under certain working conditions, especially for uncertain values of parameters, which threatens the security and stability of motor-driven operation. Hence, it is important to study methods of controlling or suppressing chaos in PMSMs. In this paper, the stability of a PMSM with parameter uncertainties is investigated. After uncertain matrices which represent the variable system parameters are formulated through matrix analysis, a novel asymptotical stability criterion is established by employing the method of Lyapunov functions and linear matrix inequality technology. An example is also given to illustrate the effectiveness of our results.     

Cooperative impulsive formation control for networked uncertain Euler–Lagrange systems with communication delays

This paper investigates the cooperative formation problem via impulsive control for a class of networked Euler–Lagrange systems. To reduce the energy consumption and communication frequency, the impulsive control method and cooperative formation control approach are combined. With the consideration of system uncertainties and communication delays among agents, neural networks-based adaptive technique is used for the controller design. Firstly, under the constraint that each agent interacts with its neighbors only at some sampling moments, an adaptive neural-networks impulsive formation control algorithm is proposed for the networked uncertain Euler–Lagrange systems without communication delays. Using Lyapunov stability theory and Laplacian potential function in the graph theory, we conclude that the formation can be achieved by properly choosing the constant control gains. Further, when considering communication delays,a modified impulsive formation control algorithm is proposed, in which the extended Halanay differential inequality is used to analyze the stability of the impulsive delayed dynamical systems. Finally, numerical examples and performance comparisons with continuous algorithm are provided to illustrate the effectiveness of the proposed methods.     

Impulsive Control for Fractional-Order Chaotic Systems

We propose an impulsive control scheme for fractional-order chaotic systems. Based on the Takagi-Sugeno （T-S） fuzzy model and linear matrix inequalities （LMfs）, some sufficient conditions are given to stabilize the fractional-order chaotic system via impulsive control. Numerical simulation shows the effectiveness of this approach.     

A practical approach to robust impulsive lag synchronization between different chaotic systems

In this paper, a practical impulsive lag synchronization scheme for different chaotic systems with parametric uncertainties is proposed. By virtue of the new definition of synchronization and the theory of impulsive differential equations, some new and less conservative sufficient conditions are established to guarantee that the error dynamics can converge to a predetermined level. The idea and approach developed in this paper can provide a more practical framework for the synchronization between identical and different chaotic systems in parameter perturbation circumstances. Simulation results finally demonstrate the effectiveness of the method.     

基于径向小波神经网络的混沌系统鲁棒自适应反演控制

设计了一种具有自适应性和鲁棒性的反演控制律, 实现了对含有系统不确定性的类Rossler系统的控制. 首先通过小波神经网络辨识系统的非线性部分, 将系统转化为含有结构不确定性和参数不确定性的参数化模型; 然后, 对于系统中的参数不确定性, 设计自适应控制律, 在线估计未知参数; 对于系统中的结构不确定性, 设计鲁棒控制律, 使得系统具有鲁棒性. 最后, 通过仿真实现, 验证了以上控制方法的有效性.     

An improved impulsive control approach to robust lag synchronization between two different chaotic systems

In this paper, a novel robust impulsive lag synchronization scheme for different chaotic systems with parametric uncertainties is proposed. Based on the theory of impulsive functional differential equations and a new differential inequality, some new and less conservative sufficient conditions are established to guarantee that the error dynamics can converge to a predetermined region. Finally, some numerical simulations for the Lorenz system and Chen system are given to demonstrate the effectiveness and feasibility of the proposed method. Compared with the existing results based on so-called dual-stage impulsive control, the derived results reduce the complexity of impulsive controller, moreover, a larger stable region can be obtained under the same parameters, which can be shown in the numerical simulations finally.     

Impulsive synchronization of two nonidentical chaotic systems with time-varying delay

This Letter investigates synchronization of two nonidentical Lur'e systems with time-varying delay and parameter mismatches via impulsive control. Based on the theory of impulsive functional differential equations, sufficient conditions for impulsive synchronization with a bound on the synchronization error are derived. An illustrative example is provided to validate the proposed method.