共查询到20条相似文献，搜索用时 171 毫秒
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永磁同步电机容易受建模误差、测量误差、机械磨损等因素的影响,导致其存在参数不确定性。为减小参数不确定性对控制系统性能的影响,本文基于模糊控制理论提出了一种永磁同步电机混沌控制方法。建立了永磁同步电机混沌数学模型,具体地讲,基于T-S模糊模型分析了电机开环和闭环系统的状态方程。设计了一种模糊同步控制器,并给出了其稳定条件,同时给出了基于DSP的控制系统硬件结构框图。最后,进行了仿真和实验研究。实验结果表明:采用所述模糊同步控制方法可以有效地克服参数变化对系统性能的影响,系统跟踪性能比较理想,验证了该方法的可行性和有效性。 相似文献
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针对一阶直线倒立摆欠驱动系统,研究了在考虑外界干扰和模型不确定的情况下,一类欠驱动机械系统基于参考模型的鲁棒控制问题。其中利用时滞滤波器来对外界干扰和模型不确定性进行了估计,并利用状态反馈得出了系统的参考模型,最后通过仿真证明了该方法的可行性。 相似文献
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《科技通报》2018,(10)
伴随计算机性能提升及控制技术迅速发展,离散控制理论得到人们广泛关注。现实控制系统存在时滞现象,使系统性能不稳定。文中提出基于反馈控制律的模糊凸约束化改进算法,对多输入输出离散系统实现扰动控制。在已知动态特征和未知初始条件的持续干扰情况下,采用模型变换方式使存在扰动系统转变为无干扰的增广系统,推导获得反馈控制律;考虑干扰线性时滞系统需构造降维观测器预测系统状态及干扰行为,结合控制律初步实现时滞离散系统扰动抑制。针对多输入输出系统,提出基于T-S模糊规则的凸约束改进优化算法,运用T-S模糊规则将非线性系统表述为一系列局部线性系统的组合形式,利用充分条件令输入输出系统满足Lyapunov函数渐进稳定,转变为容易处理操作的LMI形式,实现改进约束优化过程。实验证明,利用文中方法可实现系统稳定控制输出。 相似文献
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《科技通报》2015,(9)
为优化模糊神经网络的实时性、学习速度、收敛性、稳定性,在移动机器人局部路径规划中构建了基于实际隶属函数T-S(Takagi-Sugeno)模型的改进型模糊神经网络。对外部环境信息用多传感器(超声波、摄像头)采集并优化,将机器人横纵坐标及行进方向作为输入、机器人下一步行进方向及速度作为输出,以便机器人实现局部路径规划;结合动态环境下机器人路径规划的实际,综合考虑二维直角坐标体系下机器人、障碍物的位置、速度及运动方向等实时信息,推导出一种新的具有实际含义的隶属函数作为避碰隶属函数,并通过对比隐含层节点数对网络相对误差的影响来确定隶属函数层节点数,构建五层T-S型模糊神经网络;在此基础上应用改进型误差反传学习算法,通过matlab模拟实验仿真验证及对比分析,表明了改进型网络在优化网络实时性、学习速度、收敛性、稳定性方面有良好的性能。 相似文献
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基于模糊分析理论对技术创新基金项目评价问题进行了研究，运用模糊Delphi法和模糊数的Citing—Hsu Chela变异系数排序法。建立了技术创新基金项目从优选择的多人多准则模糊评价分析模型。 相似文献
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Ahmad Sakr Ahmad M. El-Nagar Mohammad El-Bardini Mohammed Sharaf 《Journal of The Franklin Institute》2018,355(15):7201-7225
This paper proposes a fuzzy model predictive control (FMPC) combined with the modified Smith predictor for networked control systems (NCSs). The network delays and data dropouts are problems, which greatly reduce the controller performance. For the proposed controller, the model of the controlled system is identified on-line using the Takagi – Sugeno (T-S) fuzzy models based on the Lyapunov function. There are two internal loops in the proposed structure. The first is the loop around the FMPC, which predicts the future outputs. The other is the loop around the plant to give the error between the system model and the actual plant. The proposed controller is designed for controlling a DC servo system through a wireless network to improve the system response. The practical results based on MATLAB/SIMULINK are established. The practical results are indicated that the proposed controller is able to respond the networked time delay and data dropouts compared to other controllers. 相似文献
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Jinliang Liu Yuda Wang Lijuan Zha Huaicheng Yan 《Journal of The Franklin Institute》2019,356(16):9451-9473
This paper investigates the event-based control for networked T-S fuzzy cascade control systems with quantization and cyber attacks. In order to solve the problem of limited communication resources, an event-triggered scheme and a quantization mechanism are adopted, which can effectively reduce the burden of communication and save the network resources of the system. By considering the influence of cyber attacks, a newly quantized T-S fuzzy model for networked cascade control systems (NCCSs) under the event-triggered scheme is established. By using the Lyapunov stability theory, sufficient conditions guaranteeing the asymptotical stability of networked T-S fuzzy cascade control systems are obtained. In addition, the controller gains are derived by solving a set of linear matrix inequalities. Finally, a numerical example is presented to verify the validity of the proposed method. 相似文献
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《Journal of The Franklin Institute》2022,359(15):7818-7846
In this study, the problem of observer-based control for a class of nonlinear systems using Takagi-Sugeno (T-S) fuzzy models is investigated. The observer-based model predictive event-triggered fuzzy reset controller is constructed by a T-S fuzzy state observer, an event-triggered fuzzy reset controller, and a model predictive mechanism. First, the proposed controller utilizes the T-S fuzzy model and is constructed based on state observations and discrete sampling output, which can greatly reduce the occupation of communication resources. Then, the model predictive strategy for reset law design is designed in this paper. With a reasonable reset of the controller state at certain instants, the performance of the reset control systems is improved. Finally, the validity of the proposed method is illustrated by simulation. The merits of the proposed controller in improving transient performance and reducing the communication occupation are demonstrated by comparing its results with the output feedback fuzzy controller and the first-order fuzzy reset controller. 相似文献
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Ximing Yang Tieshan Li Yue Wu Yang Wang Yue Long 《Journal of The Franklin Institute》2021,358(3):1860-1887
This paper focuses on the observer-based fault-tolerant control problem for the discrete-time nonlinear systems with the perturbation and the fault signals. First, the nonlinear term with perturbation is put into the local nonlinear part so that the nonlinear system with perturbation can be described as an interval type-1 (IT1) T-S fuzzy system. Then, based on the unknown input observer technology, the IT1 T-S fuzzy fault estimation (FE) observer scheme is presented to obtain the real-time FE information and decouple the local nonlinear part from the estimation error system, where the design complexity and the computational burden are reduced simultaneously. Second, based on the real-time FE information, an FE-based interval type-2 (IT2) T-S fuzzy fault-tolerant control scheme is presented to achieve the compensation for the influence of the fault signal and the stabilization for the system. Different from the traditional methods, a mixed design scheme, which is based on the IT1 T-S fuzzy fault estimation observer method and the IT2 T-S fuzzy fault-tolerant controller method, is proposed in this paper. This strategy can not only reduce the computational burden, but also obtain a less conservative result. Finally, the effectiveness of the mixed design approach is illustrated by an example. 相似文献
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《Journal of The Franklin Institute》2022,359(6):2564-2592
Using the interval type-2 Takagi–Sugeno (IT-2 T-S) fuzzy control method, this paper formulates a class of non-autonomous interconnected dynamical system (IDS) with discontinuities. Under the differential inclusion (DI) framework, the fixed-time stabilization (FXTS) problem is studied via indefinite derivative Lyapunov approach, where the time-derivative of constructed Lyapunov function doesn’t have to be negative/semi-negative. By designing novel IT-2 T-S fuzzy switching control protocol possessing time-varying control gain coefficients, several sufficient stabilization conditions are obtained to determine the system’s stability in fixed time. Furthermore, the settling time (ST) of FXTS is estimated. Due to the time-varying property of control gain coefficients and indefiniteness of system’s parameters, the advantage of the IT-2 T-S fuzzy switching control protocol designed in this paper is that its control gain coefficients are not only more flexible, but also can affect the estimation of ST. Finally, the designed control protocols and FXTS results are confirmed by numerical example. 相似文献
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A class of networked nonlinear control systems with norm-bounded uncertainties is presented in this paper. The class is represented by Takagi–Sugeno (T-S) fuzzy models with packet processing. The network loop delay is considered either as known delay or random delay. For the former case, we develop conditions that guarantee the robust asymptotic stability and state-feedback stabilization with strict dissipativity and cast the results in linear matrix inequality (LMI) framework. Next employing a probabilistic-based delay partitioning method to deal with random delay, we establish novel LMI criteria for strict dissipative stability analysis and feedback synthesis. The efficacy of the ensuing techniques is demonstrated by numerical solution of typical examples and Mont Carlo simulation. 相似文献
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《Journal of The Franklin Institute》2022,359(2):762-785
A novel nonlinear time-varying model termed as the fuzzy parameter varying (FPV) system is proposed in this research, which inherits both advantages of the conventional T-S fuzzy system in dealing with nonlinear plants and strengths of the linear parameter varying (LPV) system in handling time-varying features. It is, therefore, an attractive mathematical model to efficiently approximate a nonlinear time-varying plant or to serve as a type of time-varying controller. Using the full block S-procedure, sufficient stability conditions have been derived in the form of linear matrix inequalities (LMIs) to test quadratic stability of the open-loop FPV system. Moreover, sufficient conditions have been derived on synthesizing both state feedback and dynamical output feedback fuzzy gain-scheduling controllers that can stabilize the FPV system. An inverted pendulum with a variable length pole is utilized to demonstrate advantages of the FPV system compared to the conventional T-S fuzzy system in representing a practical time-varying nonlinear plant and to validate the controller synthesis conditions. 相似文献
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《Journal of The Franklin Institute》2022,359(7):2833-2856
This paper deals with the exponential boundary stabilization for a class of Markov jump reaction-diffusion neural networks (MJRDNNs) with mixed time-varying delays, which is described by T-S fuzzy model. It is assumed that observed modes in boundary controller are not synchronized with the system modes. Based on a hidden Markov model (HMM), a novel asynchronous boundary control law is developed by using observed modes. Compared with the existing control strategies for distributed parameter systems, the asynchronous boundary control scheme can not only save the cost of the controller installation, but also bring less conservativeness. A delay-dependent sufficient condition to guarantee the exponentially mean square stability is established for T-S fuzzy MJRDNNs with mixed time-varying delays by constructing a Lyapunov functional and utilizing the vector-value Wirtinger-type inequality. Meanwhile, in order to get the designing scheme of the boundary controller, an equivalent LMI-based sufficient criterion is established. In the end, the effectiveness of the proposed results is illustrated by simulation examples. 相似文献
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《Journal of The Franklin Institute》2022,359(8):3405-3426
In this paper, the consensus control problem of Takagi-Sugeno (T-S) fuzzy multiagent systems (MASs) is investigated by using an observer based distributed adaptive sliding mode control. A distributed nonfragile observer is put forward to estimate the unmeasured state of agents. Based on such an observer, a novel distributed integral sliding surface is designed to suppress the disturbance and uncertainty of T-S fuzzy MASs. In order to achieve the consensus objective, a nominal distributed protocol and an adaptive sliding mode controller are separately designed. Futhermore, the nominal distributed protocol solves the consensus control problem of T-S fuzzy MASs in the absence of disturbance and uncertainty by using the information of adjacent agents obtained by the observer, while the adaptive sliding mode controller suppresses the disturbance and uncertainty. Finally, the proposed method is applied to two examples. Example 1 verifies the superiority of the method by comparing with the fuzzy-based dynamic sliding mode controller. Example 2 is used to illustrate that our control scheme can effectively solve the consensus control problem of T-S fuzzy MASs. 相似文献
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《Journal of The Franklin Institute》2022,359(16):8819-8847
This study investigates the passivity analysis of fractional-order Takagi-Sugeno (T-S) fuzzy systems subject to external disturbances and nonlinear perturbations under an adaptive integral sliding mode control (AISMC) methodology. To better accommodate the features of the T-S fuzzy dynamical model, a novel fractional-order memory-based integral-type sliding manifold function is defined, which is different from the existing sliding manifold function. With the help of Caputo fractional-order derivative properties and quadratic Lyapunov functional, some linear matrix inequality (LMI)-based sufficient criteria are derived to ensure the asymptotic stability conditions of resulting sliding mode dynamics with passive performance index. Besides that, an adaptive sliding mode control law is designed for the addressed systems to guarantee the system state variables onto the predefined integral sliding manifold. Finally, the effectiveness of the proposed controller is validated based on derived sufficient conditions with two practical models, such as fractional-order interconnected power systems and fractional-order permanent-magnet synchronous generator (PMSG) model, respectively. 相似文献