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In this paper we investigate the chaotic behaviors of the fractional-order permanent magnet synchronous motor(PMSM).The necessary condition for the existence of chaos in the fractional-order PMSM is deduced.And an adaptivefeedback controller is developed based on the stability theory for fractional systems.The presented control scheme,which contains only one single state variable,is simple and flexible,and it is suitable both for design and for implementation in practice.Simulation is carried out to verify that the obtained scheme is efficient and robust against external interference for controlling the fractional-order PMSM system. 相似文献
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Bifurcation and stability of an improved time-delayed fluid flow model in internet congestion control 总被引:1,自引:0,他引:1 下载免费PDF全文
Based on the fluid flow time-delayed model proposed by Misra
et al in internet congestion control, one
modified time-delayed model is presented, where the influence of the
communication delay on the router queue length is investigated in
detail. The main advantage of the new model is that its stability
domain is larger even without an extra controller. By linear
stability analysis and numerical simulation, the effectiveness and
feasibility of the novel model in internet congestion control are
verified. 相似文献
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The nonlinear dynamics of permanent-magnet synchronous motor(PMSM) with v/f control signals is investigated intensively.First,the equilibria and steady-state characteristics of the system are formulated by analytical analysis.Then,some of its basic dynamical properties,such as characteristic eigenvalues,Lyapunov exponents and phase trajectories are studied by varying the values of system parameters.It is found that when the values of the system parameters are smaller,the PMSM operates in stable domains,no matter what the values of control gains are.With the values of parameters increasing,the unstability appears and PMSM falls into chaotic operation.Furthermore,the complex dynamic behaviors are verified by means of simulation. 相似文献
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模糊系统具有容易被人理解的表达能力,神经网络则具有极强的自适应学习能力。本文将模糊逻辑控制技术和神经网络技术相结合,给出了一种比单独模糊系统或单独的神经网络系统性能更好的基于模糊RBF神经网络自整定的拥塞控制方法。该方法根据路由器中队列长度的变化来调整数据包的丢弃概率,从而使路由器的队列长度稳定在一期望值附近。仿真结果表明,该算法具有较强的鲁棒性,更短的调节时间。 相似文献
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