Leader-following consensus of fractional-order multi-agent systems via adaptive control

This article focuses on the consensus problem of leader-following fractional-order multi-agent systems (MASs) with general linear and Lipschitz nonlinear dynamics. First, the distributed adaptive protocols for linear and nonlinear fractional-order MASs are constructed, respectively. We allow the control coupling gains to be time varying for each agent. Moreover, the adaptive modification schemes for the control gain are designed, which renders smaller control gains and thus requires smaller amplitude on the control input without sacrificing consensus convergence. Second, based on fractional-order Lyapunov stability theorem and Barbalat's lemma, two novel sufficient conditions in terms of linear matrix inequalities are provided to ensure that the leader-following consensus can be obtained in the case for any undirected connected communication graph. Furthermore, we show that the proposed algorithm also works for consensus of agents with intrinsic Lipschitz nonlinear dynamics. As a result, the proposed framework requires no global information and thus can be implemented in a fully distributed manner. Finally, the numerical simulations are given to demonstrate the effectiveness of obtained the theoretical results.     

分数阶滑模控制算法在四容水箱中的应用及仿真

针对四容水箱系统存在模型不确定性、动态性能缓慢、耦合严重等问题,设计分数阶滑模控制算法对水箱液位进行控制。对传统整数阶滑模面和趋近率加以改进,得到控制效果更为灵活的分数阶滑模面和趋近率。使用李雅普诺夫理论对分数阶型滑模控制器的渐进稳定条件、适用范围、特性进行理论分析,提出算法的设计方法。通过与分数阶PID控制器比较,仿真实验表明分数阶滑模控制器对给定液位的期望值具有良好的动态性能,有效的减少控制过程中的超调,对系统参数摄动具有良好的鲁棒性。     

分数阶混沌系统数值解析与电路仿真研究*

针对如何分析分数阶混沌系统的问题,基于改进的Adams-Bashforth-Moulton算法,研究了一个新三维分数阶混沌系统的数值解析方法,采用MATLAB软件平台,获得了该系统在不同分数阶时生成的混沌吸引子。基于频域近似法,采用RC串并联电路设计了分数阶单元电路,由一个模拟电路实现了所提出的分数阶混沌系统。电路仿真与数值解析结果一致,表明了所提出的两种分析方法是可行的,并证实了该分数阶混沌系统也有着复杂的非线性物理现象。     

NSG系统和分数阶金融系统的有界性及其同步

研究了两个混沌系统的有界性及其同步问题,解决了NSG系统和分数阶金融系统的有界性问题,在这两个混沌系统有界的条件下,用线性反馈控制实现有界混沌系统的同步,数值模拟的结果证明了这个方法的有效性．     

分数阶超混沌Lorenz系统及同步研究

基于分数阶微积分的Adams—Bashforth—Moulton一步方法与预估-校正算法,研究了分数阶超混沌Lorenz系统,并进行了数值仿真。结果表明：该系统存在超混沌的最低阶数为3．88阶。利用一步耦合法给出了分数阶超混沌系统的同步,并利用数值模拟验证其准确性。     

Buck变换器的自适应分数阶PI~λD~μ控制研究

为提高Buck变换器的控制性能,从变换器的数学模型出发,分析了分数阶PIλDμ控制器中比例参数kp和积分参数ki的可设计范围,并提出一种Buck变换器的自适应分数阶PIλDμ控制器设计方法.该方法在整数阶PID控制器基础上,按照控制性能目标函数最小准则对分数阶次参数λ和μ进行优化搜索,同时kp和ki参数按自适应律调整变化.仿真结果表明:相比传统的整数阶PID控制和分数阶PIλDμ控制,该自适应分数阶PIλDμ控制方法能使Buck变换器具有更优的电压输出性能和鲁棒性.     

基于教与学算法的SRM转矩分配函数优化及控制研究

针对开关磁阻电机(SRM)换相阶段转矩脉动严重问题,提出基于教与学算法的转矩分配函数优化策略。以开通角、关断角、换相重叠角为寻优对象,输出转矩跟随参考转矩能力为评价指标,结合转矩分配函数与直接瞬时转矩控制,构成转矩闭环。为提升系统动态性能,转速环采用分数阶滑模控制方法,将其输出作为转矩环参考转矩。仿真实验结果表明,经教与学算法优化后,转矩可在相绕组换相阶段平滑过渡,且输出转矩脉动得到明显抑制;分数阶滑模较PI控制而言,系统转速迅速进入稳态,且上升过程无超调,有利于提升系统动态特性。     

无人机空中加油过程中分数阶滑模会合导引控制

针对带末端角度和末端速度约束的无人机空中加油自主会合问题,设计了一种3维分数阶滑模导引律,使无人机在无加油机主动配合的情况下具备自主会合能力.首先,根据无人机与加油机之间的相对运动关系,设计了3维比例导引规律,使无人机能够到达期望的加油位置.其次,利用滑模控制的强鲁棒性特点以及分数阶微积分的精细控制特性,基于变结构理论和李雅普诺夫稳定性理论设计了一种带有末端角度约束的3维分数阶滑模变结构控制律,并用所设计的分数阶滑模控制律对3维比例导引指令进行重构,使无人机能以期望的末端追踪角度到达加油位置.然后,构造了速度指令生成器,对无人机的末端速度进行约束.最后,对所设计的导引律进行了仿真验证,仿真结果表明所设计出来的导引律能满足追踪角度和速度约束的要求.     

基于分数阶滑模控制的直接矩阵变换器控制策略研究

直接矩阵变换器是一个无中间直流环节的AC-AC变换器,但是它和传统的间接矩阵变换器一样,在电网电压不平衡时其输出性能会下降。针对这一问题,提出了一种分数阶滑模控制以改善矩阵变换器的输出性能。首先,分析了矩阵变换器的拓扑结构和数学模型,得到了不平衡电网下的输出功率,并且根据输出功率表达式设计对应的输出补偿。其次,结合控制目标和直接矩阵变换器的数学模型设计出应用于不平衡电网的分数阶滑模控制器。所设计的控制器旨在实现恒定的有功功率,同时以单位功率因数输入。接着,结合输出补偿使输出的有功功率无脉动,同时无功功率能够跟踪参考信号。最后,在Matlab/Simulink和RT-LAB实验平台建立对应模型,验证该算法的有效性。实验结果表明,分数阶滑模控制在控制性能上要明显优于传统PI控制。     

Fractional Order Nonlinear Bone Remodeling Dynamics Using the Supervised Neural Network

This study aims to solve the nonlinear fractional-order mathematical model (FOMM) by using the normal and dysregulated bone remodeling of the myeloma bone disease (MBD). For the more precise performance of the model, fractional-order derivatives have been used to solve the disease model numerically. The FOMM is preliminarily designed to focus on the critical interactions between bone resorption or osteoclasts (OC) and bone formation or osteoblasts (OB). The connections of OC and OB are represented by a nonlinear differential system based on the cellular components, which depict stable fluctuation in the usual bone case and unstable fluctuation through the MBD. Untreated myeloma causes by increasing the OC and reducing the osteoblasts, resulting in net bone waste the tumor growth. The solutions of the FOMM will be provided by using the stochastic framework based on the Levenberg-Marquardt backpropagation (LVMBP) neural networks (NN), i.e., LVMBPNN. The mathematical performances of three variations of the fractional-order derivative based on the nonlinear disease model using the LVMPNN. The static structural performances are 82% for investigation and 9% for both learning and certification. The performances of the LVMBPNN are authenticated by using the results of the Adams-Bashforth-Moulton mechanism. To accomplish the capability, steadiness, accuracy, and ability of the LVMBPNN, the performances of the error histograms (EHs), mean square error (MSE), recurrence, and state transitions (STs) will be provided.