指标函数终端自由和受函数约束的分数阶系统的最优控制

将求解整数阶系统最优控制的方法和步骤拓展到分数阶系统的最优控制中,对由Caputo定义的分数阶微分方程描述的分数阶系统提出了求解性能指标函数在始端固定的条件下,终端时间固定而终端状态自由和始端固定、终端时间固定而终端状态受函数约束的最优控制的状态方程、伴随方程、控制方程、横截条件和终端约束方程,并给予了证明.     

分数阶线性系统的稳定性证明

提出一种分数阶线性系统稳定性证明方法。首先分析了双参数Mittag-Leffler函数估值定理中的限制条件, 通过证明得出了该定理收敛域有误, 因此改进了双参数Mittag-Leffler函数估值定理, 并将它的参数由实数推广到矩阵。然后提出了可适用于分数阶线性系统的稳定性理论, 并利用改进的双参数Mittag-Leffler函数估值定理进行了证明。仿真结果验证了理论的正确性。     

计及温控负荷响应的二维云模型分布式频率控制

为改善电力系统频率稳定性,充分调用需求侧可控负荷资源,本文提出一种计及温控负荷响应的二维云模型分布式频率控制方法。建立了多区域互联电力系统负荷频率控制模型,设计了基于福克普朗克方程的温控负荷分布式控制策略,同时采用云模型算法与分数阶微积分理论,设计了二维云模型分数阶PID分布式频率控制器。最后通过控制仿真比较与分析,验证了在不同运行场景下所提出的综合控制方法具有较优的动稳态性能。结果表明该控制方法是可行和有效的。     

基于FO-PI控制器的直流微网母线电压控制策略

为改善直流微电网母线电压稳定性及动态性能,提出一种基于自适应参数整定的FO-PI控制器控制直流母线电压方法。该方法在传统PI控制策略的基础上引入具有多参数可调的FO-PI控制器,并将带有自适应权重策略的粒子群算法运用于FO-PI控制器,从而解决控制器在具有多个参数时不可同时调节这些参数的问题。让直流微电网电压控制系统达到更优的可控性及灵活度。实验结果表明,所提出的控制策略在不增加系统成本的同时,能够使母线电压抗负载扰动能力更强,而且其整体性能优于传统控制方法。     

FOPID-GPC算法在电厂过热蒸汽温度控制中的应用

为了克服在过热蒸汽温度控制中对象参数变化对控制效果的影响,将分数阶PID(FOPID)控制与广义预测控制(GPC)算法相结合,构成了分数阶PID型FOPID广义预测控制(FOPID-GPC)算法。该算法的参数设置与传统的整数阶PID广义预测控制算法的参数设置具有一定的相似性,并增加了积分阶数和微分阶数2个可调参数,该参数的取值对控制系统的性能具有很大的影响。仿真结果表明,FOPID-GPC算法使控制系统具有超调量小、调节时间短、能够快速跟踪系统变化的特点,提高了控制系统动态性能,能够较好地将蒸汽温度控制在设定值附近。     

一种分数阶忆阻器的Verilog-A模型及应用

近年来,科研人员为研究忆阻器的电气特性及其在电路中的应用,建立了多种整数阶忆阻器的Verilog-A模型,但分数阶忆阻器的Verilog-A模型还未见报道.文章提出了一种分数阶忆阻器的Verilog-A模型,对其相关特性进行了分析,总结了参数对忆阻器电气特性影响的规律,并将此模型应用于脉冲宽度调制(PWM)电路中,通过...     

两个分数阶复杂动态网络的函数投影同步

复杂网络的同步问题是复杂网络研究的热点之一, 本文研究了两个分数阶复杂网络间的函数投影同步问题.分别针对网络模型参数已知和参数未知两种情况, 利用自适应控制技术和分数阶系统稳定性理论, 设计自适应控制器, 使两个分数阶复杂动态网络实现函数投影同步.最后利用数值仿真验证所提出方法的有效性.     

Design and Robust Performance Evaluation of a Fractional Order PID Controller Applied to a DC Motor

This paper proposes a methodology for the quantitative robustness evaluation of PID controllers employed in a DC motor. The robustness analysis is performed employing a 23 factorial experimental design for a fractional order proportional integral and derivative controller (FOPID), integer order proportional integral and derivative controller (IOPID) and the Skogestad internal model control controller (SIMC). The factors assumed in experiment are the presence of random noise, external disturbances in the system input and variable load. As output variables, the experimental design employs the system step response and the controller action. Practical implementation of FOPID and IOPID controllers uses the MATLAB stateflow toolbox and a NI data acquisition system. Results of the robustness analysis show that the FOPID controller has a better performance and robust stability against the experiment factors.      

Local Bifurcation Analysis of a Delayed Fractional-order Dynamic Model of Dual Congestion Control Algorithms

In this paper, we propose a delayed fractional-order congestion control model which is more accurate than the original integer-order model when depicting the dual congestion control algorithms. The presence of fractional orders requires the use of suitable criteria which usually make the analytical work so harder. Based on the stability theorems on delayed fractionalorder differential equations, we study the issue of the stability and bifurcations for such a model by choosing the communication delay as the bifurcation parameter. By analyzing the associated characteristic equation, some explicit conditions for the local stability of the equilibrium are given for the delayed fractionalorder model of congestion control algorithms. Moreover, the Hopf bifurcation conditions for general delayed fractional-order systems are proposed. The existence of Hopf bifurcations at the equilibrium is established. The critical values of the delay are identified, where the Hopf bifurcations occur and a family of oscillations bifurcate from the equilibrium. Same as the delay, the fractional order normally plays an important role in the dynamics of delayed fractional-order systems. It is found that the critical value of Hopf bifurcations is crucially dependent on the fractional order. Finally, numerical simulations are carried out to illustrate the main results.      

Distributed Adaptive Cooperative Tracking of Uncertain Nonlinear Fractional-order Multi-agent Systems

In this paper, the leader-following tracking problem of fractional-order multi-agent systems is addressed. The dynamics of each agent may be heterogeneous and has unknown nonlinearities. By assumptions that the interaction topology is undirected and connected and the unknown nonlinear uncertain dynamics can be parameterized by a neural network, an adaptive learning law is proposed to deal with unknown nonlinear dynamics, based on which a kind of cooperative tracking protocols are constructed. The feedback gain matrix is obtained to solve an algebraic Riccati equation. To construct the fully distributed cooperative tracking protocols, the adaptive law is also adopted to adjust the coupling weight. With the developed control laws, we can prove that all signals in the closed-loop systems are guaranteed to be uniformly ultimately bounded. Finally, a simple simulation example is provided to illustrate the established result.