共查询到19条相似文献,搜索用时 125 毫秒
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一种模糊滑模变结构控制方案及其在混沌系统控制中的应用 总被引:3,自引:1,他引:3
采用模糊动态模型逼近非线性系统,将非线性
系统模糊化为局部线性模型.用Lyapunov稳定性理论设计出确保模糊动态模型全局渐近稳
定的变结构控制器.应用到两类混沌系统的稳定控制中,验证了方案的有效性.模糊控制器
简单,规则少. 相似文献
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针对在非线性、时变不确定系统中,常规PID控制器难以获得满意效果的问题,仿照传统PID控制器结构,设计了一种基于T-S模型的模糊神经网络PID控制器。该控制器基于T-S模糊模型,将PID结构融入模糊控制中,充分发挥了模糊系统非线性、可解释性的特点;然后又利用神经网络的学习算法,实现了对模糊控制器的参数调整,使控制器具有了适应时变、不确定系统的自学习和自组织能力。针对非线性、时变系统,将此控制器与传统PID控制器对比进行了仿真研究,并应用于啤酒发酵领域,其结果表明,该控制器取得了令人满意的效果。 相似文献
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研究一类非线性奇异摄动系统的边界层鲁棒控制问题。该类系统边界层的不确定项不满足一般匹配条件。鲁棒控制器的设计分为伪名义边界层和整个边界层系统两步进行。在满足某些条件时,设计的控制器可使该类系统的边界层仍保持渐近稳定特性,将此方法用于中程空地导弹的中制导系统,仿真结果验证了该设计方法的有效性。 相似文献
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针对一类非严格反馈非线性系统,系统中包含不确定函数和未知外部扰动,提出一种带不匹配扰动补偿的输出反馈模糊控制器.采用模糊逻辑系统逼近未知的非线性函数,同时构造模糊状态观测器观测系统未知状态.考虑观测器和控制器会受到外部扰动和模糊逼近误差构成的不匹配总扰动信号影响,采用改进的扰动观测器对不匹配扰动进行估计和补偿,使扰动观测误差能够在有限时间内平缓地收敛到任意小的范围,消除不匹配扰动信号对模糊观测器设计的影响.同时在控制器设计中进行扰动的精确补偿,提高系统的抗扰动性.通过Lyapunov函数证明了闭环系统所有信号都是有界的.最后,通过数值仿真进一步验证了所提出方法的有效性. 相似文献
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Wen-Shyong Yu Chih-Jen Sun 《Fuzzy Systems, IEEE Transactions on》2001,9(3):413-425
A fuzzy model based adaptive control algorithm for a class of continuous-time nonlinear dynamic systems is presented. The fuzzy model consisting of a set of linear fuzzy local models that are combined using a fuzzy inference mechanism is used to model a class of nonlinear systems. Each fuzzy local model represents a linearized model corresponding to the operating point of the controlled nonlinear system. The proposed control algorithm employs the fuzzy controller that is designed by considering the linear state feedback controller corresponding to the fuzzy local model with the maximum weight and the switching-σ modification adaptive controller to adaptively compensate for the plant nonlinearities. Stability robustness of the closed-loop system is analyzed in Lyapunov sense. It is shown, that the proposed control algorithm guarantees global stability of the system with the output of the system approaching the origin if there are no disturbances and uncertainties, converging to the neighborhood of the origin for all realizations of uncertainties and disturbances. The simulation examples for controlling inverted pendulum system are given to illustrate the effectiveness of the proposed method 相似文献
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This paper focuses on the problem of direct adaptive fuzzy control for nonlinear strict-feedback systems with time-varying delays. Based on the Razumikhin function approach, a novel adaptive fuzzy controller is designed. The proposed controller guarantees that the system output converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded. Different from the existing adaptive fuzzy control methodology, the fuzzy logic systems are used to model the desired but unknown control signals rather than the unknown nonlinear functions in the systems. As a result, the proposed adaptive controller has a simpler form and requires fewer adaptation parameters. 相似文献
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Al-Holou N. Lahdhiri T. Dae Sung Joo Weaver J. Al-Abbas F. 《Fuzzy Systems, IEEE Transactions on》2002,10(2):234-246
In the automotive industry, suspension systems are designed to provide desirable vehicle ride and handling properties. This paper presents the development of a robust intelligent nonlinear controller for active suspension systems based on a comprehensive and realistic nonlinear model. The inherent complex nonlinear system model's structure, and the presence of parameter uncertainties, have increased the difficulties of applying conventional linear and nonlinear control techniques. Recently, the combination of sliding mode, fuzzy logic, and neural network methodologies has emerged as a promising technique for dealing with complex uncertain systems. In this paper, a sliding mode neural network inference fuzzy logic controller is designed for automotive suspension systems in order to enhance the ride and comfort. Extensive simulations are performed on a quarter-car model, and the results show that the proposed controller outperforms existing conventional controllers with regard to body acceleration, suspension deflection, and tire deflection 相似文献
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研究了一类非线性系统的模糊变结构控制问题,并给出了稳定性证明。通过将非线性系统化为多个精确T—S模型来建立非线性系统精确的T—S模糊模型,将模糊理论与成熟的线性变结构控制理论相结合设计一种模糊变结构控制器,用Lyapunov稳定性理论证明该控制器能确保模糊动态模型全局渐近稳定,从而使非线性系统稳定。仿真结果表明了该设计方法的有效性。 相似文献
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利用模糊T—S模型对一类不确定非线性时滞系统进行模糊建模,在此基础上研究基于观测器的模糊动态输出反馈控制,利用矩阵不等式(LMI)算法给出了模糊闭环系统稳定的充分条件及其反馈控制增益和观测器增益的求法,以及输出反馈控制器的设计方法。最后仿真结果证明所提出的控制方法是有效的。 相似文献