永磁同步风电系统建模及直接反馈线性化控制

构建了空气动力学系统、永磁同步发电机子系统和反馈线性化控制子系统的模型,并给出了具体的MATLAB仿真模型。给出了直接反馈线性化控制的基本原理和实现方法,将该控制策略应用到永磁同步风力发电系统中,采用微分几何线性化理论和最大风能捕获原理,实现了坐标变换和非线性系统状态反馈,达到了永磁同步风电系统线性化,并在MATLAB环境下给出了具体的仿真框图和实现技术。通过系统联合仿真,表明所建永磁同步发电系统模型可以有效实现对控制系统性能的测试,反馈线性化控制具有更高的控制性能,能够确保最大风能捕获。通过研究,找到永磁同步风电系统这一非线性系统的线性化控制策略,从而提升系统的控制品质。     

无轴承永磁同步电机的神经网络逆控制

无轴承永磁同步电机是一个强耦合的非线性复杂系统,实现无轴承永磁同步电机的线性化解耦控制,是无轴承永磁同步电机稳定运行和走向实用化的关键。将神经网络具有的特点（对非线性系统的逼近能力以及对系统参数变化的适应能力）与逆系统方法的特点（解耦线性化）相结合,提出了基于神经网络的无轴承永磁同步电机逆系统解耦控制方法。通过用静态神经网络加积分器来构造无轴承永磁同步电机的逆系统,将无轴承永磁同步电机动态解耦成位移子系统和转速子系统分别设计调节器进行控制,然后运用线性系统理论进行综合。仿真及实验结果表明,系统具有良好的鲁棒性和动静态解耦性能。     

基于动态矩阵控制的永磁同步电机矢量控制

针对强非线性、强耦合永磁同步电机石油钻机的控制问题,本文提出了一种动态矩阵模型预测控制的方法.该方法将采用多步预估技术的动态矩阵算法应用于永磁同步电机矢量控制的速度环控制中,并将其控制效果与传统的永磁同步电机PI控制进行仿真对比.通过对两种方法的初始动态响应以及负载干扰下的稳态恢复进行对比,表明与传统的永磁同步电机PI控制相比,本文所提出的动态矩阵模型预测控制的永磁同步电机的动态响应效果更好,系统的鲁棒性更强,验证了新方法在永磁同步电机石油钻机中应用的可行性.     

基于动态矩阵控制的永磁同步电机矢量控制（英文）

针对强非线性、强耦合永磁同步电机石油钻机的控制问题,本文提出了一种动态矩阵模型预测控制的方法。该方法将采用多步预估技术的动态矩阵算法应用于永磁同步电机矢量控制的速度环控制中,并将其控制效果与传统的永磁同步电机PI控制进行仿真对比。通过对两种方法的初始动态响应以及负载干扰下的稳态恢复进行对比,表明与传统的永磁同步电机PI控制相比,本文所提出的动态矩阵模型预测控制的永磁同步电机的动态响应效果更好,系统的鲁棒性更强,验证了新方法在永磁同步电机石油钻机中应用的可行性。     

无轴承永磁同步电机的神经网络逆控制

无轴承永磁同步电机是一个强耦合的非线性复杂系统,实现无轴承永磁同步电机的线性化解耦控制,是无轴承永磁同步电机稳定运行和走向实用化的关键。将神经网络具有的特点（对非线性系统的逼近能力以及对系统参数变化的适应能力）与逆系统方法的特点（解耦线性化）相结合,提出了基于神经网络的无轴承永磁同步电机逆系统解耦控制方法。通过用静态神经网络加积分器来构造无轴承永磁同步电机的逆系统,将无轴承永磁同步电机动态解耦成位移子系统和转速子系统分别设计调节器进行控制,然后运用线性系统理论进行综合。仿真及实验结果表明,系统具有良好的鲁棒性和动静态解耦性能。

     

基于模糊PI控制器的永磁同步电机矢量控制仿真研究

为改进传统PID控制的永磁同步电动机调速系统性能,提出一种基于模糊PI控制的永磁同步电机矢量控制新方法.仿真结果表明该方法控制精度高,动态特性好,适合于永磁同步电机的速度控制.     

一种永磁同步电机的矢量控制方法研究

永磁同步电机具有转矩密度高、运行效率高等优点。因此,越来越多的应用在各种功率等级的场合。永磁同步电机的矢量控制方法也成为了研究的热点。本文重点研究了基于转子磁场定向的永磁同步电机矢量控制策略,采用基于模型的电驱动系统开发方法,MATLAB/Simulink建模,建立了转速电流双闭环的矢量控制系统。首先,矢量控制系统模型进行仿真;然后,通过伺服驱动控制实验平台,进行快速控制原型实验。验证该控制方法具有控制精度高、动态性能好、调速特性好等优点。     

永磁同步电机非线性调节器MTPA弱磁控制

针对传统的弱磁控制方案不能很好地解决永磁同步电机在高转速范围内性能稳定的问题，在分析最大转矩电流比控制策略的基础上，构建了基于条件积分法的抗积分饱和的速度调节器，将其引入永磁同步电机最大转矩电流比（MPTA）弱磁控制系统，可有效解决电机速度超调量大、响应慢，抗干扰能力差等问题；同时设计了一种非线性变参数调节器，具有PI调节器快速收敛性能，提高了系统稳定性，在电压反馈弱磁控制的基础上实现了永磁同步电机的弱磁控制。仿真与实验结果表明，该方法能够快速实现高精度的MTPA控制。     

CMAC与PID复合控制在永磁直线同步电机中的应用

永磁直线同步电机广泛应用于高精度伺服控制系统,负载扰动、非线性、耦合以及推力纹波影响其伺服性能,传统PID控制难以实现良好的控制品质,需要先进的控制手段和补偿措施.小脑模型神经网络能实时进行模型逼近,给出了小脑模型神经网络CMAC概念映射和实际映射的具体实现过程,分析了永磁直线同步电机的数学模型,构建了以PID为反馈控制,以CMAC为前馈控制的永磁直线同步电机复合控制系统.通过MATLAB仿真环境可知,该系统可有效实现被控对象的逆动态模型,具有很强的鲁棒性.     

伺服系统速度模式下的无传感研究

永磁同步电机的驱动系统逐渐在各种工业生产场合中应用,对其性能的要求如在较大的速度带宽范围时的动态响应和精确控制也越来越高。然而,在调速范围上,对应用于永磁同步电机运行的无传感矢量控制技术来说仍然是个问题。因此,提出在速度调节上运用弱磁控制和等效控制反馈上构建滑模观测器组合控制方法,达到扩展运行速度范围和提高系统的鲁棒性。     

多关节机器人反馈线性化双模糊滑模控制

为了提高多关节机器人轨迹跟踪控制性能,提出了一种反馈线性化双模糊滑模控制方法。该方法在对机器人非线性动力学模型反馈线性化的基础上,设计了一种双模糊滑模控制器。通过设计一个模糊控制器,根据跟踪误差和误差变化率自适应地调整滑模面的斜率,从而加快响应速度。通过设计另一个模糊控制器,根据滑模面自适应地调整滑模控制的切换控制部分,从而减弱抖振。利用李亚普诺夫定理证明了控制系统的稳定性。针对空间三关节机器人进行了仿真实验,结果表明了所提方法的有效性。     

Feedback linearization based control of a variable air volume air conditioning system for cooling applications

Design of a nonlinear control system for a Variable Air Volume Air Conditioning (VAVAC) plant through feedback linearization is presented in this article. VAVAC systems attempt to reduce building energy consumption while maintaining the primary role of air conditioning. The temperature of the space is maintained at a constant level by establishing a balance between the cooling load generated in the space and the air supply delivered to meet the load. The dynamic model of a VAVAC plant is derived and formulated as a MIMO bilinear system. Feedback linearization is applied for decoupling and linearization of the nonlinear model. Simulation results for a laboratory scale plant are presented to demonstrate the potential of keeping comfort and maintaining energy optimal performance by this methodology. Results obtained with a conventional PI controller and a feedback linearizing controller are compared and the superiority of the proposed approach is clearly established.     

Novel fuzzy feedback linearization strategy for control via differential geometry approach

The study investigates a novel fuzzy feedback linearization strategy for control. The main contributions of this study are to construct a control strategy such that the resulting closed-loop system is valid for any initial condition with almost disturbance decoupling performance, and develop the feedback linearization design for some class of nonlinear control systems. The feedback linearization control guarantees the almost disturbance decoupling performance and the uniform ultimate bounded stability of the tracking error system. Once the tracking errors are driven to touch the global final attractor with the desired radius, the fuzzy logic control is immediately applied via a human expert’s knowledge to improve the convergence rate. One example, which cannot be solved by the first paper on the almost disturbance decoupling problem, is proposed in this paper to exploit the fact that the almost disturbance decoupling and the convergence rate performances are easily achieved by the proposed approach.     

Model-based adaptive sliding mode control of the subcritical boiler-turbine system with uncertainties

As higher requirements are proposed for the load regulation and efficiency enhancement, the control performance of boiler-turbine systems has become much more important. In this paper, a novel robust control approach is proposed to improve the coordinated control performance for subcritical boiler-turbine units. To capture the key features of the boiler-turbine system, a nonlinear control-oriented model is established and validated with the history operation data of a 300 MW unit. To achieve system linearization and decoupling, an adaptive feedback linearization strategy is proposed, which could asymptotically eliminate the linearization error caused by the model uncertainties. Based on the linearized boiler-turbine system, a second-order sliding mode controller is designed with the super-twisting algorithm. Moreover, the closed-loop system is proved robustly stable with respect to uncertainties and disturbances. Simulation results are presented to illustrate the effectiveness of the proposed control scheme, which achieves excellent tracking performance, strong robustness and chattering reduction.     

FEEDBACK LINEARIZATION CONTROL FOR ELECTRONICALLY CONTROLLABLE CLUTCH OF VEHICLE

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Neural robust control for perturbed crane systems

In this paper, we present a new control methodology for perturbed crane systems. Nonlinear crane systems are transformed to linear models by feedback linearization. An inverse dynamic equation is applied to compute the system PD control force. The PD control parameters are selected based on a nominal model and are therefore suboptimal for a perturbed system. To achieve the desired performance despite model perturbations, we construct a neural network auxiliary controller to compensate for modeling errors and disturbances. The overall control input is the sum of the nominal PD control and the neural auxiliary control. The neural network is iteratively trained with a perturbed system until acceptable performance is attained. We apply the proposed control scheme to 2- and 3-degree-of-freedom (D.O.F.) crane systems, with known bounds on the payload mass. The effectiveness of the control approach is numerically demonstrated through computer simulation experiments.     

双喷嘴挡板伺服阀非线性建模及其线性化

为从理论上研究喷嘴挡板伺服阀控电液伺服系统的动静态性能,需要建立较精确的电液伺服阀数学模型。考虑伺服阀喷嘴挡板处阀口流动等非线性因素影响,分析电液伺服阀的电信号输入到阀芯位移的输出特性,建立双喷嘴挡板两级伺服阀的非线性数学模型以描绘实际系统;根据实际模型特点,采用输入/输出线性化方法中的非线性状态反馈变换获得局部线性化模型,并通过分析系统零动态稳定性,从理论上证明了线性化模型的有效性。以常规泰勒展开线性化为对象,对提出的输入/输出线性化模型的精确性进行相应的仿真和实际试验对比。结果表明,该方法所建模型更接近实际系统,具有较强的鲁棒性,可用于精确分析实现阀控液压伺服系统的动静态性能。     

Feedback linearization control of the looper system in hot strip mills

This paper studies on the linearization of a looper system in hot strip mills, that plays an important role in regulating a strip tension or a strip width. Nonlinear dynamic equations of the looper system are analytically linearized by a static feedback linearization algorithm with a compensator. The proposed linear model of the looper is validated by a comparison with a linear model using Taylor’ s series. It is shown that the linear model by static feedback well describes nonlinearities of the looper system than one using Taylor’ s series. Furthermore, it is shown from the design of an ILQ controller that the linear model by static feedback is very useful in designing a linear controller of the looper system.     

A partial feedback linearization based control design and simulation for three phase shunt active power filter

This paper exploited partial feedback linearization technique to control design of a three phase shunt active power filter (APF) by considering it as a Multiple Input Multiple Output (MIMO) system. The averaged dynamic model of the three phase APF has been derived considering the single phase equivalent circuit of the system. This averaged dynamic model is used to partially feedback linearize the MIMO nonlinear system dynamics. New control input to the linearized system is obtained considering the stability of the complete APF system. After that, control input to APF is derived by nonlinear transformation. Stability of the internal dynamics of the system is analyzed considering zero dynamics of the system. MATLAB/Simulink based simulation results are provided to validate the performance of the controller.     

基于状态反馈线性化的阀控非对称缸系统模型预测控制

针对使用PID方法对阀控非对称液压缸位置控制中出现的超调问题,以及传统非线性模型预测控制优化求解计算时间较长的问题,提出了一种基于状态反馈线性化的阀控非对称缸模型预测控制方案。首先建立了阀控系统状态空间模型,运用微分几何理论讨论系统可反馈线性化的充要条件,并将非线性系统映射为新坐标空间内的线性系统模型;设计了反馈线性化模型预测控制器(Feedback Linearization Model Predictive Controller, FLMPC),讨论了线性系统下的约束问题,其中由于系统仿真预测时域远小于系统响应时间,对模型预测控制的损失函数加以修正。结果证明,在相同输入情况下,反馈线性化系统与原系统的位置误差满足控制需要,且在保证被控对象快速稳定控制的条件下,对比该算法与非线性模型预测控制的单步计算时间,证明该算法能够缩短计算时间。