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宽带噪声激励下带有分数阶控制器的强非线性系统的随机平均技术
引用本文:梁霄,陈林聪,赵珧冰.宽带噪声激励下带有分数阶控制器的强非线性系统的随机平均技术[J].动力学与控制学报,2020,18(4):70-78.
作者姓名:梁霄  陈林聪  赵珧冰
作者单位:华侨大学土木工程学院,华侨大学土木工程学院,华侨大学土木工程学院
基金项目:国家自然科学基金(11672111),福建省高校杰出青年科研人才培育计划,华侨大学研究生科研创新基金资助项目,福建省自然科学基金(20191ZB035)
摘    要:运用随机平均法研究了宽带噪声激励下带有分数阶PI~λD~μ控制器的强非线性系统.首先,应用广义谐波平衡技术,将分数阶PI~λD~μ控制力分解为幅值依赖的等效拟线性阻尼力和拟线性回复力,得到了受控整数阶等效非线性系统.然后,运用基于广义谐和函数的随机平均法得到关于幅值的平均伊藤微分方程.最后,建立并求解相应的简化Fokker-Planck-Kolmogorov(FPK)方程,得到稳态概率密度函数.作为算例,考察了Duffing-van de Pol振子.数值结果表明随机平均法能够达到较高的精度,分数阶PI~λD~μ控制器能够对系统响应进行有效的控制.此外,宽带噪声参数ξ_i、ω_i及D_i改变时,本文提出的方法仍具有较好的适用性,分数阶控制器仍同样具有非常好的控制效果.

关 键 词:随机平均法,分数阶PIlDm  控制器,宽带噪声,强非线性系统,蒙特卡罗模拟
收稿时间:2019/9/6 0:00:00
修稿时间:2019/10/29 0:00:00

STOCHASTIC AVERAGING TECHNIQUE OF STRONGLY NONLINEAR SYSTEMS WITH FRACTIONAL-ORDER CONTROLLER UNDER THE WIDE-BAND NOISE EXCITATION
Liang Xiao,Chen Lincong,Zhao Yaobing.STOCHASTIC AVERAGING TECHNIQUE OF STRONGLY NONLINEAR SYSTEMS WITH FRACTIONAL-ORDER CONTROLLER UNDER THE WIDE-BAND NOISE EXCITATION[J].Journal of Dynamics and Control,2020,18(4):70-78.
Authors:Liang Xiao  Chen Lincong  Zhao Yaobing
Affiliation:College of Civil Engineering,Huaqiao University,Xiamen,College of Civil Engineering,Huaqiao University,Xiamen,College of Civil Engineering,Huaqiao University,Xiamen
Abstract:The stochastic averaging technique is used to study the strongly nonlinear systems with fractional-order PIlDm controller under wide-band noise excitation. Firstly, the generalized harmonic balance technique is applied to decouple the fractional order PIlDm control force into the amplitude-dependent equivalent quasi-linear damping force and restore force, and the original system is replaced by a controlled equivalent nonlinear system. Then, the averaged It? differential equation for the amplitude is derived by using the stochastic averaging method based on the generalized harmonic function. Finally, the stationary probability density function is obtained from the reduced Fokker-Planck-Kolmogorov (FPK) equation. As an illustrative example, Duffing-van de Pol oscillator is investigated. Numerical results display that stochastic averaging method can yield to the high precision, and the fractional order PIlDm controller can control the system response effectively. Furthermore, the study finds that the proposed method can work well and the fractional order PIlDm controller still has very good control effect for the change of wide-band noise parameters xi , wi , and Di.
Keywords:stochastic  averaging method  fractional-order PIlDm controller  wide-band  noise  strongly  nonlinear systems  Monte  Carlo simulation
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