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1.
通过对无刷双馈风力发电机工作原理和运行特性的分析,建立了无刷双馈发电机摹于转子机械坐标系的数学模型,将变结构控制应用到无刷双馈发电机有功功率与无功功率的解耦控制中,分析了其电磁关系和能量平衡关系.使用Matlab/Simulink软件对系统及其控制策略进行了仿真分析.仿真结果表明:变结构控制能够成功地实现风力发电中无刷双馈发电机有功与无功功率的解耦控制,在实现风能的最大功率捕获的同时,可以提供电网需要的无功功率,满足电力系统的需要.  相似文献   

2.
由于飞机三级式同步发电机存在CSD(恒速装置),增加了飞机重量,而且发电及容量不能做到很大.提出一种飞机串级式无刷双馈交流发电机系统,去掉了CSD,在发动机转速变化的同时调节控制绕组电流大小实现变速恒频的目的.论文在对串级式无刷双馈发电机定转子磁场进行分析、给出电压和转矩方程的基础上,针对串级式无刷双馈电机的高耦合、非线性和多变量时变性等特点,设计了矢量解耦控制器,实现控制绕组电压与电流之间的解耦,在Matlab/simulink环境下进行了仿真研究,结果表明:利用矢量解耦控制算法对无刷双馈发电机进行分析,实现了变速恒频发电;系统运行良好,具有较好的动态响应特性;所采用的方法是正确的、可行的.  相似文献   

3.
无刷双馈风力发电机中的3套绕组电流(功率绕组、控制绕组和转子绕组)产生的磁场在电机空间相互作用,绕组间复杂的耦合关系导致无刷双馈电机模型具有高维数特征.为了更有效地对无刷双馈风力发电机进行运行分析与功率控制,充分利用无刷双馈风力发电机的多时间尺度特征,实现模型降阶是必要的.研究了无刷双馈风力发电机的多时间尺度特征,建立了无刷双馈风力发电机的三时间尺度奇异摄动模型,为无刷双馈风力发电机的模型降阶奠定了基础.  相似文献   

4.
无刷双馈风力发电机中的3套绕组电流(功率绕组、控制绕组和转子绕组)产生的磁场在电机空间相互作用,绕组间复杂的耦合关系导致无刷双馈电机模型具有高维数特征.为了更有效地对无刷双馈风力发电机进行运行分析与功率控制,充分利用无刷双馈风力发电机的多时间尺度特征,实现模型降阶是必要的.研究了无刷双馈风力发电机的多时间尺度特征,建立了无刷双馈风力发电机的三时间尺度奇异摄动模型,为无刷双馈风力发电机的模型降阶奠定了基础.  相似文献   

5.
针对传统矢量控制双馈风力发电机动态解耦不佳现象及电机参数依赖性问题,提出基于滑模变结构控制和反馈线性化控制的非线性控制策略。分别对两种策略的控制原理和优缺点进行了详细分析。在PSCAD环境中,将非线性控制策略应用于DFIG矢量控制中,建立其系统模型。仿真结果表明:提出的两种策略均能实现双馈风力发电系统最大功率点跟踪以及有功功率和无功功率解耦。对仿真结果进行对比分析,发现基于滑模变结构的系统有较好的解耦效果,较强的全局鲁棒性,控制效果优于反馈线性化控制,为双馈发电机励磁控制系统的设计奠定了理论基础。  相似文献   

6.
根据双馈异步发电机的运行特点,推导出了其在静止参考坐标系中的数学模型,采用定子磁链定向的矢量控制技术,并结合滞环电流控制技术,提出了一种新的转子励磁控制策略。利用Matlab仿真软件建立双馈异步发电机的仿真模型,对有功和无功功率的解耦进行了仿真研究。仿真结果表明,该控制策略能够实现双馈发电机有功功率和无功功率的独立解耦控制。  相似文献   

7.
无刷双馈风力发电系统是一个多时间尺度高维数系统, 其稳定性分析与控制是非常复杂的. 在实际问题分析中, 具有快变特征的的动态常被略去. 然而, 在什么条件下无刷双馈电机的快动态允许被略去是一个必须回答的理论问题. 以基于物理电路的计及快动态和慢动态的无刷双馈电机模型为基础, 研究了降阶的条件. 研究表明无刷双馈风力发电机在一些可接受的条件下, 降阶是合理的和可行的, 降阶不会引起“质”的错误. 研究结论对简化无刷双馈风力发电机模型以及实现功率调节控制具有重要意义.  相似文献   

8.
双馈风力发电系统最大风能追踪滑模变结构控制   总被引:2,自引:0,他引:2  
针对如何实现双馈风力发电机最大风能追踪(MPPT)问题, 本文采用滑模变结构控制原理和定子磁场定向矢量控制原理, 提出了滑模控制的最大风能追踪方案. 为此首先简要的介绍了定子磁场定向矢量控制的原理, 然后根据风机模型的非线性提出了滑模控制最大风能追踪方案. 此方法实现了双馈风力发电机的有功, 无功功率的解耦控制. 提高风力发电系统转速控制的抗干扰性, 实现了变速恒频控制和最大功率点跟踪的快速和稳定控制, 从而捕 获更多的风能. 最后仿真结果验证本文提出的控制策略的正确性和有效性.  相似文献   

9.
双馈异步风力发电机功率控制扰动法仿真研究   总被引:2,自引:0,他引:2  
双馈异步风力发电机有功功率、无功功率的解耦控制是变速恒频风力发电系统的关键技术,也是保证风力发电机组安全高效运行的关键.介绍了交流励磁变速恒频风力发电的基本原理,提出了功率控制扰动策略.利用定子磁链定向的矢量控制方法建立了双馈异步发电机在d-q坐标系下的数学模型,实现了定子有功功率、无功功率的解耦控制.推导了双馈异步发电机的线性化模型并分析了其特件.利用MATLAB/Simulink建立了系统的仿真模型,并就主要扰动参数对系统功率控制性能的影响进行了分析.仿真结果验证了功率控制扰动策略的正确性和可行性,为风力发电技术的进一步研究提供了理论依据.  相似文献   

10.
无刷双馈发电机及其控制策略的仿真研究   总被引:1,自引:1,他引:0  
给出了无刷双馈发电机的转子机械速dq0数学模型和定子同步速MT数学模型;提出了一种无刷双馈发电机空载并网控制策略,该策略根据定子同步坐标系下无刷双馈发电机有功功率、无功功率给定值,最终得出控制侧定子绕组的电压给定值,将该值进行2r/3s变换后输入SVPWM调制模块,得到的PWM信号用于控制机侧变流器开关管的通断,从而产生定子控制绕组所需的电压、电流;在Matlab/Simulink环境下搭建了无刷双馈发电机及其控制仿真模型,并对无刷双馈发电机在空载、并网状态下的动态性能进行了仿真研究。仿真结果验证了所搭建模型及空载并网控制策略的正确性、有效性。  相似文献   

11.
20世纪60年代,学习控制开启了人类探究复杂系统控制的新途径,基于人工智能技术的智能控制随之兴起.本文以智能控制为主线,阐述其由学习控制向平行控制发展的历程.本文首先介绍学习控制的基本思想,描述了智能机器的架构设计与运行机理.随着信息科技的进步,基于数据的计算智能方法随之出现.对此,本文进一步简述了基于计算智能的学习控制方法,并以自适应动态规划方法为切入点分析非线性动态系统自学习优化问题的求解过程.最后,针对工程复杂性与社会复杂性互相耦合的复杂系统控制问题,阐述了基于平行控制的学习与优化方法求解思路,分析其在求解复杂系统优化控制问题方面的优势.智能控制思想经历了学习控制、计算智能控制到平行控制的演化过程,可以看出平行控制是实现复杂系统知识自动化的有效方法.  相似文献   

12.
This paper considers the stochastic optimal control problem for networked control systems(NCSs)with control packet dropouts.The proportional plus up to the third-order derivative(PD3)compensation strategy is adopted to compensate for control packet dropouts at the actuator by using the past control packets stored in the buffer.Based on the strategy,a new NCS structure model with packet dropouts is provided,where the packet dropout is assumed to obey the Bernoulli random binary distribution.In terms of the given model,the stochastic optimal control law is proposed. Numerical examples illustrate the effectiveness of the results.  相似文献   

13.
In this paper, the problem of designing a switching policy for an adaptive switching control system is formulated as a problem of supervisory control of a discrete-event system (DES). Two important problems in switching control are then addressed using the DES formulation and the theory of supervisory control under partial observation. First, it is verified whether for a given set of controllers, a switching policy satisfying a given set of constraints on the transitions among controllers exists. If so, then a minimally restrictive switching policy is designed. Next, an iterative algorithm is introduced for finding a minimal set of controllers for which a switching policy satisfying the switching constraints exists. It is shown that in the supervisory control problem considered in this paper, limitations on event observation are the factors that essentially restrict supervisory control. In other words, once observation limitations are respected, limitations on control will be automatically satisfied. This result is used to simplify the proposed iterative algorithm for finding minimal controller sets.  相似文献   

14.
15.
In this paper, we consider a new approach to fuzzy control which entails the formulation of a novel state-space representation and a new form of optimal control problem. Basically, in this new formulation, linear functions in the conventional state-space representation and cost functional are replaced by hyperbolic functions. We give a solution for this new, infinite-time, optimal control problem, which we call hyperbolic optimal control. Furthermore, we show that the resulting optimal controller is in fact a Mamdani-type fuzzy controller with Gaussian membership functions and center of gravity defuzzification. These results enable us to investigate analytically important issues, such as stability and robustness, pertaining to fuzzy controllers as well as add a powerful theoretical framework to the field of fuzzy control  相似文献   

16.
17.
We investigate the relationships between the three classes of systems mentioned in the title: we show that systems with delays in control are a special instance of boundary control systems, and a boundary control system produces a generalized control system when projected onto its (unstable) eigenspaces. We use this observation to investigate the action of feedback on the dynamical behavior of systems with boundary controls. In particular, the well-known fact that spectral controllability is necessary and sufficient for a system with delays in control to be stabilizable is derived from a general rather than from anad hoc method. This paper was written according to the programs of the GNAFA-CNR group, with the financial support of the Italian “Ministero della Pubblica Istruzione.”  相似文献   

18.
The paper addresses the problem of reconciling the modern control paradigm developed by R. Kalman in the sixties of the past century, and the centenary error based design of the proportional, integrative and derivative (PID) controllers. This is done with the help of the error loop whose stability is proved to be necessary and sufficient for the close loop plant stability. The error loop is built by cascading the uncertain plant to model discrepancies (causal, parametric, initial state, neglected dynamics), which are driven by the design model output and by arbitrary bounded signals, with the control unit transfer functions. The embedded model control takes advantage of the error loop and its equations to design appropriate algorithms of the modern control theory (state predictor, control law, reference generator), which guarantee the error loop stability and performance. A simulated multivariate case study shows modeling and control design steps and the coherence of the predicted and simulated performance.  相似文献   

19.
Sampled-data control of networked linear control systems   总被引:2,自引:0,他引:2  
In this paper, the problem of synthesis and analysis for the networked control systems (NCSs) with time-driven digital controllers and event-driven holders is considered. The NCS is modelled as a sampled-data system with time-delay in its discrete-time subsystem. This model is able to capture many network-induced features, for example, time-delay and packet dropout. Moreover, the model allows different combinations of the time-driven or event-driven mode of the devices, including the samplers, the controllers and the holders. By transforming time-delay in the discrete-time subsystem into its continuous-time subsystem of the sampled-data system, we have also obtained a less conservative time-delay dependent stability result for the NCSs, using a new Lyapunov function and a relaxed condition. Some limitations of the existing literatures on network-induced time-delay and sampling period are removed in the proposed framework. Furthermore, a sampled-data control design procedure is developed for the NCSs. Linear matrix inequality approach has been employed to solve the stability and control design problems. Finally, numerical examples are included to demonstrate the effectiveness of the proposed stability result and the potential of the proposed techniques.  相似文献   

20.
In any real system, changing the control signal from one value to another will usually cause wear and tear on the system’s actuators. Thus, when designing a control law, it is important to consider not just predicted system performance, but also the cost associated with changing the control action. This latter cost is almost always ignored in the optimal control literature. In this paper, we consider a class of optimal control problems in which the variation of the control signal is explicitly penalized in the cost function. We develop an effective computational method, based on the control parameterization approach and a novel transformation procedure, for solving this class of optimal control problems. We then apply our method to three example problems in fisheries, train control, and chemical engineering.  相似文献   

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