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1.
研究了非线性系统H2/H模糊状态反馈控制问题.采用局部线性化方法,用T-S模糊线性模型逼近非线性系统,用模糊观测器重构系统状态.在希望的H干扰抑制约束下,通过最小化H2控制性能指标,实现了模糊状态反馈次优控制.通过将优化问题转化成2个特征值问题(EVP),应用线性矩阵不等式(LMI)优化方法求解,使问题的求解大大简化.所设计的闭环系统在平衡点是局部二次型稳定的,系统抗扰性能和动态性能均较好.  相似文献   

2.
给出了SISO系统H控制器参数优化过程,提出了一种系统性能模糊评价优化设计方法,根据系统动态特性通过模糊优化控制策略动态校正控制器结构参数.结果表明,本方法对模型不确定性具有良好的鲁棒性适应性和动态特性,控制品质优于一般H控制和常规PID,Smith预估器.  相似文献   

3.
应用LMI(线性矩阵不等式)方法,研究了T-S模糊系统H控制器的设计问题.首先给出了T-S模糊系统基于状态反馈H控制存在的两个新的充分条件.新条件不但简洁而且把模糊子系统间的相互作用表示为由子系统的系数矩阵构成的矩阵不等式.然后新条件被转化为可直接应用Matlab求解的线性矩阵不等式.最后应用线性矩阵不等式方法和Matlab,给出了T-S模糊系统H控制器的设计方法.  相似文献   

4.
基于模糊模型的时滞不确定系统的模糊H鲁棒反馈控制   总被引:4,自引:0,他引:4  
讨论了一类具有状态和控制时滞的不确定非线性系统的模糊H 状态反馈控制问题. 采用具有时滞的不确定Takagi-Sugeno(T-S)模糊模型对非线性系统进行建模, 提出了一套基于LMI的模糊鲁棒控制器的系统设计方法, 给出了模糊H状态反馈控制器存在的充分条件, 以保证闭环模糊系统渐近稳定并满足从干扰输入到控制输出的H范数界约束. 示例仿真表明了该方法的有效性.  相似文献   

5.
H环路成形方法设计的控制器阶次较高,不便于工程实现和参数调整;用传统方法确定模糊控制器隶属度函数的参数和模糊规则比较费时且难以保证鲁棒性能和时频域性能指标.针对上述情况,提出了一种综合运用H环路成形和自适应神经模糊推理系统来设计模糊控制器的方法.首先采用H环路成形设计方法,得到鲁棒裕量、动态和稳态性能都符合要求的控制器,然后用自适应神经模糊推理系统来逼近此控制器,最后根据自适应神经模糊推理系统参数确定相应的模糊控制器规则和参数.该方法确定模糊控制器隶属度函数的参数精确而省时,且能保证控制器具有较强的鲁棒性和良好的控制效果.通过对小车倒立摆系统进行的仿真,验证了该控制器设计方法的有效性.  相似文献   

6.
研究了一类T-S模糊Delta算子系统的鲁棒H控制问题.首先利用LMI形式给出了模糊Delta算子系统鲁棒镇定的充分条件,然后构造了可使闭环系统鲁棒稳定且对可允许的参数变化满足H性能的状态反馈控制律.本文结果统一了连续与离散模糊系统的鲁棒H镇定设计结论,数值算例说明了方法的可行性.  相似文献   

7.
针对一类控制器增益存在摄动的不确定非线性网络切换系统,在系统同时存在随机时变时滞和数据包丢失的情况下,研究系统的非脆弱H控制问题.首先,利用T-S模型,将非线性网络切换系统建模为网络切换模糊系统;其次,将数据包丢失作为时滞处理,并采用Bernoulli分布的随机序列描述该时滞;再次,采用平均驻留时间的方法(ADT)设计系统的切换律及非脆弱状态反馈控制器,并给出网络切换模糊时滞系统指数稳定的平均驻留时间条件;最后,结合李雅普诺夫(LKF)方法给出系统均方指数稳定且满足H性能指标的充分条件.仿真结果验证了所提出设计方法的有效性.  相似文献   

8.
针对带有时域硬约束(包括执行器饱和约束与状态约束)的不确定T-S模糊系统, 提出了一种鲁棒H控制方法. 先给出在不确定性参数范数有界的前提下T-S模糊系统满足给定H性能指标的充分条件, 再寻找在一个有界能量干扰作用下包含所有系统状态轨迹的椭圆域, 然后利用双椭圆域方法和S-Procesure将时域硬约束转化为一组LMI约束. 这种多目标设计最终归结为实现一个带有LMI约束的优化问题. 文中的最后给出并讨论了该方法用于倒立摆系统的仿真结果.  相似文献   

9.
针对一类T-S 模糊模型描述的网络控制系统(NCSs) 非脆弱H跟踪控制问题进行研究. 首先, 综合考虑网络中数据传输时滞和数据丢包的影响, 采用输入时滞法和并行分布补偿(PDC) 技术, 建立基于T-S 模糊模型的NCSs 状态跟踪误差模型; 然后, 利用Lyapunov 方法和改进的自由权矩阵方法, 基于线性矩阵不等式(LMI), 给出满足系统H 跟踪性能的条件, 并给出非脆弱模糊控制器设计方法; 最后, 通过仿真实例表明了该方法的有效性.  相似文献   

10.

研究了基于观测器的非线性系统H模糊可靠控制问题.采用T-S模糊模型对非线性系统进行建模,用模糊观测器重构系统状态.在系统发生故障时满足给定H性能的约束下,最小化正常情况下的H性能,实现次优H模糊可靠控制.提出了两种应用线性矩阵不等式(LMI)的H模糊可靠控制器设计方法.分别采用两步法和相似变换法将双线性矩阵不等式问题转化为LMI问题.仿真示例验证了所提出方法的有效性.

  相似文献   

11.
This article proposes a novel fuzzy system, referred to as a dynamic structure fuzzy system, to address tracking control problems for unknown nonlinear dynamical systems. The fuzzy system is employed to reconstruct the unknown nonlinearities of dynamic systems. In the dynamic structure fuzzy system, the number of fuzzy rules can be either increased or decreased over time based on the required approximation accuracy. The advantage of the dynamic structure fuzzy system is that a suitable-sized fuzzy system can be found to avoid overfitting or underfitting data sets. By using Gaussian radial basis function (GRBF) as a membership function, adaptation laws are presented for tuning all parameters of the parameterized fuzzy system, including the output weights, the widths and the centers of the GRBF's. Global boundedness of the overall control scheme is guaranteed in the sense of Lyapunov. The tracking error converges to the required precision through the adaptive control scheme derived by the Lyapunov synthesis approach. Simulations performed on an underwater vehicle system demonstrate the effectiveness of our scheme.  相似文献   

12.
Fuzzy sliding mode control for a robot manipulator   总被引:1,自引:0,他引:1  
This work presents the design of a robust control system using a sliding mode controller that incorporates a fuzzy control scheme. The presented control law superposes a sliding mode controller and a fuzzy logic controller. A fuzzy tuning scheme is employed to improve the performance of the control system. The proposed fuzzy sliding mode control (FSMC) scheme utilizes the complementary cooperation of the traditional sliding mode control (SMC) and the fuzzy logic control (FLC). In other words, the proposed control scheme has the advantages which it can guarantee the stability in the sense of Lyapunov function theory and can ameliorate the tracking errors, compared with the FLC and SMC, respectively. Simulation results for the trajectory tracking control of a two-link robot manipulator are presented to show the feasibility and robustness of the proposed control scheme. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008  相似文献   

13.
板球系统是一个典型的多变量、非线性控制系统,是杆球系统的扩展,用以检测各种控制方案。该文针对板球系统的定点稳定问题,首先提出了T—S模糊控制方案,仿真结果较好,但实物系统的试验却发现球在稳定点附件振荡、难以稳定、超调大;针对此缺点,在T—S模糊控制方案的基础上,提出变论域自适应模糊控制方案,仿真结果表明控制性能得到明显改善,且越是靠近稳定点效果越明显,体现了变论域自适应模糊控制方法具有精度高、无振荡、几乎无超调的特点。实物系统的试验结果也表明,变论域自适应模糊控制方案比T—S模糊控制方案的效果要好。  相似文献   

14.
In this paper, a robust adaptive fuzzy control scheme for a class of nonlinear system with uncertainty is proposed. First, using prior knowledge about the plant we obtain a fuzzy model, which is called the generalized fuzzy hyperbolic model (GFHM). Secondly, for the case that the states of the system are not available an observer is designed and a robust adaptive fuzzy output feedback control scheme is developed. The overall control system guarantees that the tracking error converges to a small neighborhood of origin and that all signals involved are uniformly bounded. The main advantages of the proposed control scheme are that the human knowledge about the plant under control can be used to design the controller and only one parameter in the adaptive mechanism needs to be on-line adjusted.  相似文献   

15.
In this paper, a robust adaptive fuzzy control scheme for a class of nonlinear system with uncertainty is proposed. First, using prior knowledge about the plant we obtain a fuzzy model, which is called the generalized fuzzy hyperbolic model (GFHM). Secondly, for the case that the states of the system are not available an observer is designed and a robust adaptive fuzzy output feedback control scheme is developed. The overall control system guarantees that the tracking error converges to a small neighborhood of origin and that all signals involved are uniformly bounded. The main advantages of the proposed control scheme are that the human knowledge about the plant under control can be used to design the controller and only one parameter in the adaptive mechanism needs to be on-line adjusted.  相似文献   

16.
In this article, a robust adaptive self-structuring fuzzy control (RASFC) scheme for the uncertain or ill-defined nonlinear, nonaffine systems is proposed. The RASFC scheme is composed of a robust adaptive controller and a self-structuring fuzzy controller. In the self-structuring fuzzy controller design, a novel self-structuring fuzzy system (SFS) is used to approximate the unknown plant nonlinearity, and the SFS can automatically grow and prune fuzzy rules to realise a compact fuzzy rule base. The robust adaptive controller is designed to achieve an L 2 tracking performance to stabilise the closed-loop system. This L 2 tracking performance can provide a clear expression of tracking error in terms of the sum of lumped uncertainty and external disturbance, which has not been shown in previous works. Finally, five examples are presented to show that the proposed RASFC scheme can achieve favourable tracking performance, yet heavy computational burden is relieved.  相似文献   

17.
飞机防滑刹车系统模糊控制律的仿真研究   总被引:5,自引:0,他引:5  
在分析飞机防滑刹车系统机理的基础上 ,为克服刹车系统中结构参数时变性及不确定性造成的不利影响 ,避免建模的困难和模型不精确所造成的系统误差 ,基于模糊控制理论的优点 ,该文采用模糊逻辑控制设计其控制律。利用MATLAB中的fuzzy工具箱实现了模糊控制律设计 ,基于MALAB/SIMULINK仿真环境 ,建立了系统模型 ,并对所设计的模糊控制律在不同路面状态下进行了仿真 ,给出了不同路面下的仿真曲线。结果表明 ,所设计的模糊控制律在改善飞机刹车性能和提高刹车效率方面有良好的效果  相似文献   

18.
提出了一种自适应模糊全局快速Terminal滑模控制方法,在参数不确定性和外干扰情况下,为解决系统的非线性不确定性提供了一种新途径。与传统模糊Terminal滑模控制相比,通过采用模糊逻辑系统来逼近未知系统函数和开关项;鲁棒自适应律用来减小逼近误差,从而有效降低抖振;证明了该控制方案的稳定性,并将该方案应用在倒立摆系统中。仿真结果验证了该方案的有效性。  相似文献   

19.
A novel fuzzy terminal sliding mode control (FTSMC) scheme is proposed for position tracking of a class of second-order nonlinear uncertain system. In the proposed scheme, we integrate input-output linearization technique to cancel the nonlinearities. By using a function-augmented sliding hyperplane, it is guaranteed that the output tracking error converges to zero in finite time which can be set arbitrarily. The proposed scheme eliminates reaching phase problem, so that the closed-loop system always shows invariance property to parameter uncertainties. Fuzzy logic systems are used to approximate the unknown system functions and switch item. Robust adaptive law is proposed to reduce approximation errors between true nonlinear functions and fuzzy systems, thus chattering phenomenon can be eliminated. Stability of the proposed control scheme is proved and the scheme is applied to an inverted pendulum system. Simulation studies are provided to confirm performance and effectiveness of the proposed control approach.  相似文献   

20.
A novel fuzzy terminal sliding mode control (FTSMC) scheme is proposed for position tracking of a class of second-order nonlinear uncertain system. In the proposed scheme, we integrate input-output linearization technique to cancel the nonlinearities. By using a function-augmented sliding hyperplane, it is guaranteed that the output tracking error converges to zero in finite time which can be set arbitrarily. The proposed scheme eliminates reaching phase problem, so that the closed-loop system always shows invariance property to parameter uncertainties. Fuzzy logic systems are used to approximate the unknown system functions and switch item. Robust adaptive law is proposed to reduce approximation errors between true nonlinear functions and fuzzy systems, thus chattering phenomenon can be eliminated. Stability of the proposed control scheme is proved and the scheme is applied to an inverted pendulum system. Simulation studies are provided to confirm performance and effectiveness of the proposed control approach.  相似文献   

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