PWM型DC/DC变换器中混沌控制的仿真研究

该文研究如何利用OGY混沌控制技术来消除DC/DC变换器的混沌状态.首先利用数据采样方法得到系统的离散模型,利用计算机技术由该离散模型进行可以得到系统的分叉图,从分叉图中可以看到DC/DC变换器发生了混沌、分叉等非线性现象,然后从理论上说明了如何利用OGY混沌控制策略把工作在混沌状态的DC/DC变换器控制到周期状态,最后利用计算机对DC/DC变换器进行仿真研究,仿真结果证明了该文中基于OGY方法DC/DC变换器混沌控制策略的有效性.     

电压模式Buck变换器混沌建模与控制研究

DC-DC变换器混沌现象与控制是复杂的非线性问题,而大部分该问题的仿真模型也是抽象的数学模块仿真模型.为了方便直观地研究,利用Matlab中simulink电路仿真模块建立了电压模式Buck变换器电路仿真模型.推导获得了变换器非线性系统的精确离散模型,并在经典OGY方法的机理上,给出了应用上述方法控制变换器混沌状态的控制序列.结合所建电路仿真模型仿真分析Buck变换器由周期分岔直至混沌与OGY控制混沌回到稳定的一周期轨道的过程.仿真结果表明,所建仿真模型准确而直观地验证了离散模型的正确性及OGY方法的有效性.     

软开关Buck变换器混沌现象的研究

鉴于软开关DC／DC变换器的应用越来越广泛，由于谐振元件的存在使得变换器的混沌现象变得复杂。该文以BuckZVSPWM变换器为具体研究对象，建立了其精确离散数学模型，并基于此模型分析了BuckZVSPWM变换器的混沌现象。利用稳定性判据求出给定系统的临界稳定值，通过电路仿真证明了混沌图与变换器运行状态基本一致。该文建立的精确离散数学模型是在数学通用公式的基础上建立起来的。因此可以应用于其它软开关DC／DC变换器混沌现象的研究。     

混沌控制降低Boost型变换器电磁干扰水平研究

本文研究了具有上下限电流控制的闭环DC/DC Boost变换器工作在周期及混沌状态下的频谱特征,证明了工作于混沌状态下的变换器可以有效的降低电磁干扰(EMI)水平。理论分析及仿真结果均证明,本文给出的电压、电流闭环反馈型变换器,既具有较低的电磁干扰水平,又能够保持输出电压稳定。使应用混沌控制降低开关电源电磁干扰水平的研究,更向实用化趋近。     

PWM型DC/DC变换器的Washout滤波器混沌控制方法

研究如何利用Washout滤波器控制技术来控制PWM型DC/DC变换器中的混沌现象．首先分析了利用Ott-Grebogi-Yorke(OGY)方法对DC/DC变换器进行混沌控制存在的不足， 然后以Hénon系统为例说明了如何利用Washout滤波器进行混沌控制．最后,应用Washout滤波器对两种采用不同控制策略的DC/DC变换器实施控制,将其从混沌状态控制到周期状态．理论分析和计算机仿真表明，该控制技术不但可以很好用于DC/DC变换器中的混沌控制，而且能够克服OGY方法的不足．     

一类离散混沌系统的脉冲时滞反馈控制

为了镇定一类离散混沌系统的不稳定周期轨道,提出脉冲时滞反馈控制方法.系统地研究了脉冲时滞反馈控制方法在一类离散小世界网络模型中的应用问题.数值仿真结果表明,小世界网络模型中的倍周期分岔及其导致的混沌可以被延后,镶嵌在混沌吸引子内部的不稳定周期轨道可以被镇定.与已有相关控制方法相比,所提出的脉冲时滞反馈控制方法具有适用范围广泛、实现过程简单方便且灵活等优势.     

SPWM DC/AC逆变器的建模分析与混沌控制

利用状态空间平均法对DC/AC变换器建立模型并进行分析,再用拉氏变换法对其建立离散数学模型,对两种建模方法进行对比并加以分析。把自适应迭代学习控制方法应用到DC/AC变换器的混沌控制当中,并用Matlab和电路实验证明其有效性。     

Buck-Boost DC-DC变换器中分叉与混沌问题的研究(Ⅰ)——建模与仿真

研究了电流控制型Buck-Boost变换器中的分叉与混沌问题. 首先, 对连续模式下的Buck-Boost变换器建立了离散数学模型, 在此基础上, 在输入电压E、参考电流Iref、电阻R、电感L和电容C等分叉参数作用下, 通过数值方法对Buck-Boost变换器中的分叉与混沌进行了详细的仿真研究. 仿真研究结果表明: Buck-Boost变换器具有丰富的非线性行为———分叉与混沌, 随着各个分叉参数的变化系统会遵循倍周期分叉的规律走向混沌.     

混沌态电流模式Buck-Boost开关变换器的OGY控制

从电流模式Buck-Boost开关变换器周期 1状态的频闪采样离散时间迭代映射数学模型出发，提出了一种混沌态电流模式Buck-Boost开关变换器吸引子中不稳定周期 1轨道的确定方法．根据OGY控制的原理和思想，推导出OGY控制矢量的取值范围，以此为依据选择控制矢量，实现了对混沌态的电流模式Buck-Boost开关变换器相空间中的一条不稳定周期 1轨道的稳定控制．     

Buck变换器频率引起的混沌及其控制

大多数关于变换器分岔和混沌的研究都是以直流电源电压作为变量进行分析和控制的。为了研究变换器开关频率对系统动力学行为和混沌控制效果的影响,以PWM模拟电压控制Buck变换器为研究对象,首先通过计算机仿真电路得到分岔图,分析了开关频率对系统的影响;然后利用硬件实验电路对单周期稳定、倍周期分岔和混沌3种不同状态进行相图分析,对分岔图进行验证;最后,采用参数扰动法实施混沌控制,研究了正弦谐波扰动信号幅值对控制效果的影响。通过选取特定的幅值比,经过计算机仿真电路得到新的分岔图,与混沌控制前的分岔图形成了鲜明的对比;通过选取特定的开关频率,经过混沌控制前后的电容电压和电感电流时域图,验证了混沌控制有利于提高变换器的稳态和暂态性能。有利于加深对变换器非线性动力学行为及其控制的认识和研究。     

Decentralized adaptive neural network control of cascaded DC–DC converters with high voltage conversion ratio

Decentralized output voltage tracking of cascaded DC–DC converters is an interesting topic to obtain a high voltage conversion ratio. The control purpose is challenging due to the load resistance changes, renewable energy supply voltage variations and interaction of the individual converters. In this paper, four novel decentralized adaptive neural network controllers are designed on the cascaded DC–DC buck and boost converters under load and DC supply voltage uncertainties. In the beginning, individual buck and boost converter average models that can operate in both continuous and discontinuous conduction modes are derived. Then, the interconnected and decentralized state-space models of cascaded buck and boost converters are extracted. These models are highly nonlinear with unknown uncertainties which can be estimated by neural networks. Further, two decentralized adaptive backstepping neural network voltage controllers are proposed on cascaded buck converters to deal with uncertainties and interactions. However, these control strategies are not applicable to a boost converter due to its non-minimum phase nature. Then, two novel decentralized adaptive neural network with a conventional proportional–integral reference current generator are developed on the cascaded boost converters. Practical stability of the overall system is guaranteed for the proposed controllers using Lyapunov stability theorem. Finally, four control strategies provide good quality of output voltage in the presence of uncertainties and interactions. Comparative simulations are carried out on cascaded buck and boost converters to validate the effectiveness and performance of the designed methods.     

Supervisory control design for systems of multiple sources of energy

This paper describes a supervisory control strategy for electrical energy transfers in multisource renewable energy systems. The sources are coupled onto a DC bus through DC/DC power converters. The aim is to control the energy transfers, according to the sources power and load variations. The controller determines the operating mode of the system. Then, it calculates the power ratio provided by each source and drives the DC/DC power converters with local current and voltage loops in order to regulate the voltage on the DC bus according to a reference value. The main contributions are to use the duty cycle values of the DC/DC power converters as decision criteria to switch the power sources and drive the power ratios, and to present the complete strategy in a single hierarchical control scheme with three stages. A non linear model of the closed loop system is also detailed in order to work out sufficient conditions for asymptotic stability. Finally, the proposed control scheme is validated with an experimental device developed by GREAH Research Group for the control of energy transfers in multi-source renewable energy systems.     

Current sharing of paralleled DC–DC converters using GA-based PID controllers

We demonstrate a concept for pulse-width modulation (PWM) control of a parallel DC–DC buck converter, which eliminates the need for multiple physical connections of gating/PWM signals among the distributed converter modules. The proposed control concept may lead to easier distributed control implementation of parallel DC–DC converters and distributed power systems.For equipment with significant power requirement, the traditional single power supply may not be adequate. Many power supplies with parallel regulation control can be used to solve this problem. This paper proposes a Proportional-Integral-Derivative (PID) controller to control paralleled DC–DC buck converters and current sharing is achieved. A genetic algorithm (GA) is employed to derive optimal or near optimal PID controller gains. Both simulations and experimental results are provided to verify the theoretical analysis through an experimental prototype of paralleled DC–DC buck converters.     

Passivity‐based control for large‐signal stability of high‐order switching converters

This article presents a new passivity‐based control law that stabilizes the output voltage of a high‐order DC‐DC converter. Such nonlinear control law assures robust large‐signal stability, provides zero steady‐state error despite uncertainty in converter parameters and has enough degree of freedom to satisfy the usual transient specifications of DC‐DC converters. This new integral control is derived in three steps. First, a static law is obtained. Second, a positive semidefinite storage function is synthesized to guarantee zero steady‐state error of the output voltage. Finally, the storage functions of the first two steps are combined to derive the new control law for high‐order DC‐DC converters. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

Control of chaos in SEPIC DC-DC converter

DC-DC converters are widely used in power electronic systems where there is a need for stabilizing a given dc voltage to a desired value. It has been reported that DC-DC converters exhibit different non-linear phenomena including bifurcations, quasi-periodicity and chaos under both voltage mode and current mode control schemes. In this work, current mode controlled SEPIC converter operating in continuous conduction mode is considered and by varying the reference current I_ref, the converter exhibits chaos. It has been observed that the system changes from a stable buck-like operation to an unstable boost-like operation by varying I_ref. Bifurcation diagram is plotted for control signal and capacitor voltage with I_ref as bifurcation parameter. Resonant parametric perturbation control technique has been applied to suppress chaos. Effects of phase shift and frequency mismatch are also analyzed. With phase shift, control power required for suppressing chaos has been reduced. Also intermittent chaotic stages are suppressed with the effect of frequency mismatch at the expense of increasing control power. The stability analysis in SEPIC converter is performed by means of discrete model and is validated through the simulated and experimental results.     

A type-2 fuzzy logic controller design for buck and boost DC–DC converters

Conventional (type-1) fuzzy logic controllers have been commonly used in various power converter applications. Generally, in these controllers, the experience and knowledge of human experts are needed to decide parameters associated with the rule base and membership functions. The rule base and the membership function parameters may often mean different things to different experts. This may cause rule uncertainty problems. Consequently, the performance of the controlled system, which is controlled with type-1 fuzzy logic controller, is undesirably affected. In this study, a type-2 fuzzy logic controller is proposed for the control of buck and boost DC–DC converters. To examine and analysis the effects of the proposed controller on the system performance, both converters are also controlled using the PI controller and conventional fuzzy logic controller. The settling time, the overshoot, the steady state error and the transient response of the converters under the load and input voltage changes are used as the performance criteria for the evaluation of the controller performance. Simulation results show that buck and boost converters controlled by type-2 fuzzy logic controller have better performance than the buck and boost converters controlled by type-1 fuzzy logic controller and PI controller.     

Stability of current-mode control for DC–DC power converters

DC–DC power converters are switched devices whose averaged dynamics are described by a bilinear second-order system with saturated input. In some cases (e.g., boost and buck–boost converters), the input output dynamics can be of nonminimum-phase nature. Current-mode control is the standard strategy for output voltage regulation in high dynamic performance industrial DC–DC power converters. It is basically composed by a saturated linear state feedback (inductor current and output voltage) plus an output voltage integral feedback to remove steady-state offset. Despite its widespread usage, there is a lack of rigorous results to back up its stabilization capability and to systematize its design. In this paper, we prove that current-mode control yields semiglobal stability with asymptotic regulation of the output voltage.     

Reinforcement learning-based control of improved hybrid current modulated dual active bridge AC/DC converter

Neural Computing and Applications - The DC bus voltage of AC/DC converters is conventionally regulated by proportional plus integral (PI)-based controllers. However, such controllers can’t...