基于改进自抗扰的光伏并网逆变器直流母线电压控制

针对直流母线电压的控制性能受到各种不确定干扰因素负面影响的问题,提出一种改进型自抗扰控制策略以增强直流母线电压的控制稳定性。该策略采用级联扩张状态观测器来补充传统方法下未估计的剩余扰动,进而提升扰动估计抑制能力。最后,通过理论分析和仿真结果验证所提策略的有效性和可行性。     

计及变流器影响的直驱式永磁同步发电机二阶自抗扰控制

研究基于新型自抗扰技术的直驱式永磁同步发电机电气控制系统。考虑变流器对控制系统输出电压的影响,建立发电机组的数学模型,以此为基础设计二阶自抗扰控制器,对设计的扩张状态观测器和控制器的收敛性进行分析并给出控制参数配置方法。通过仿真对所提控制系统的可行性及控制性能进行定量分析,结果表明,该控制系统能够快速稳定的控制发电机组的运行过程,且相比传统的矢量控制及一阶自抗扰控制具有更好的动态性能及鲁棒性能。     

Active disturbance rejection control of metal hydride hydrogen storage

Metal hydride (MH) hydrogen storage is used in both mobile and stationary applications. MH tanks can connect directly to high-pressure electrolyzers for on-demand charging, saving compression costs. To prevent high hydrogen pressure during charging, hydrogen generation needs to be controlled with consideration for unknown disturbances and time-varying dynamics. This work presents a robust control system to determine the appropriate mass flow rate of hydrogen, which the water electrolyzer should produce, to maintain the gaseous hydrogen pressure in the tank for the hydriding reaction. A control-oriented model is developed for MH hydrogen storage for control system design purposes. A proportional-integral (PI) and an active disturbance rejection control (ADRC) feedback controllers are investigated, and their performance is compared. Simulation results show that both the PI and ADRC controllers can reject both noises from the output measurements and unknown disturbances associated with the heat exchanger. ADRC excels in eliminating disturbances produced by the input mass flow rate, maintaining the pressure of the tank at the charging pressure with little oscillations. Additionally, the parameters estimated by the ADRC's extended state observer was used to predict the state-of-charge (SOC) of the MH.     

Power decoupling control of DFIG rotor-side PWM converter based on auto-disturbance rejection control

In this paper, double PWM converter AC excitation system of the variable speed constant frequency doubly fed induction generator (DFIG) for wind power generation is taken as the research object. At present, most vector control systems of rotor-side PWM converter adopt feedforward compensation to realize the purpose of power decoupling control. The decoupling effect is greatly affected by the power changes. A power decoupling control strategy based on auto-disturbance rejection control (ADRC) is proposed. The decoupling control between active power and reactive power is realized by observing the coupling term and the total disturbance of the d-axis and q-axis components of the stator current and the stator voltage with the extended state observer and compensating. Simulation analysis and experimental test show that, on the basis of vector transformation, the rotor-side PWM converter power decoupling control based on ADRC has a small overshoot and fast dynamic response when tracking the change of wind turbine input power, which can achieve the decoupling control between active power and reactive power well. The system has strong robustness and adaptability.     

基于扰动观测的漂浮式海上风力机主动滑模结构控制研究

针对漂浮式海上风力机主动结构控制问题,提出一种基于扰动观测的主动滑模控制方法,并应用风力机仿真工具FAST验证所提方法的有效性。在扰动二阶导数有界的前提下,理论证明观测器的稳定性和估计误差的有界性,从而有效估计匹配扰动和非匹配扰动。理论证明一类积分型滑模面的有限时间收敛性和闭环系统稳定性。基于FAST的仿真表明：所提出的主动调谐质量阻尼器（TMD）控制方法与最优被动TMD相比,主动TMD系统的漂浮平台俯仰角度和塔顶位移的均方根值可分别降低11.88%和13.56%,有效提升了风力机承受风浪载荷的能力。     

On Convergence of Nonlinear Active Disturbance Rejection Control for SISO Nonlinear Systems

The active disturbance rejection control (ADRC) was proposed by Jingqing Han in the late 1990s, which offers a new and inherently robust controller building block that requires very little information of the plant. Originally, the proposal was based largely on experiments with numerous simulations on various systems of different nature. Later, the effectiveness of the control strategy has also been demonstrated in many engineering applications such as motion control, web tension regulation, and chemical processes. However, many theoretical issues, including its applicability in stabilization, output regulation remain unanswered. In this paper, we consider the nonlinear ADRC for general single input single output nonlinear systems subject to dynamical and external uncertainties. We establish conditions that guarantee the ADRC achieving closed-loop system practical stability, disturbance attenuation, and practical reference tracking. Rigorous proofs are given to show the convergence of the variables. The peaking value reduction and high-frequency noise filtering by combination of the time-varying gain in the initial stage and the constant high gain afterwards are explained by linear ADRC. Illustrative examples are also provided.     

超临界机组除氧系统自抗扰控制器的优化设计

针对超临界机组除氧器非线性、大迟延、强耦合和模型时变特性,传统的PID调节器难以使除氧控制系统达到理想的控制效果。为了对除氧器水位和凝泵出口压力的控制取得满意的效果,采用自抗扰控制技术(Auto Disturbance Rejection Control)。通过仿真表明,用ADRC控制器控制除氧系统具有较好的解耦效果、较快的响应速度和较强的抗干扰能力。     

基于模糊自抗扰的锅炉主汽温控制策略研究

为提高火电主汽温控制系统在机组参与深度调峰过程中的控制品质,提升控制系统的自适应能力与鲁棒性,提出了模糊ADRC串级控制方案。在MATLAB仿真平台中搭建控制器进行仿真研究,并与传统的PID串级控制方案进行比较,最后用蒙特卡洛法验证控制系统的鲁棒性。仿真结果表明:模糊自抗扰控制器的快速响应能力优于PID控制器;在增加内扰的情况下,模糊ADRC的抗扰性较好;在随机工况的控制中,模糊ADRC表现出更好的自适应能力与鲁棒性。     

Disturbance decoupling control of an ultra-high speed centrifugal compressor for the air management of fuel cell systems

This paper presents a control solution based on dynamic disturbance decoupling control (DDC) for a centrifugal compression system, which is used to supply the compressed air to the fuel cell, thereby reacting with the hydrogen to produce electricity. As a result of its ultra-high speed, this compressor has a great advantage of ultra-compactness, which makes it more suitable for transportation applications. However, unlike positive displacement compressors, the centrifugal compressor has strong coupling between mass flow and pressure, which gives rise to the difficulty of control and also limits its operating region. In this paper, a unique dynamic DDC strategy, based on the active disturbance rejection control (ADRC) framework, is developed to control the mass flow and pressure simultaneously. The experimental results show that, compared with a traditional PI controller this controller performs better in both the transient and steady states. This control system has been validated on a 10 kW fuel cell model under load variations.     

Integration of a fuel cell into the power system using an optimal controller based on disturbance accommodation control theory

In this paper, the integration of a fuel cell into the power system is treated as a load frequency control (LFC) problem with the fuel cell acting as a load disturbance source. The integration of a fuel cell into the power system results into a change in real power. But changes in real power affect the system frequency. Thus, the integration will result into a change of frequency of the synchronous machines. Hence, we need to design a control scheme for keeping the system in the steady state. An optimal controller based on the disturbance accommodation control (DAC) theory is proposed for this load frequency control problem. For demonstrating the effectiveness of the proposed controller, we have considered a two-area power system with the fuel cell introduced in area 1. The fuel cell is considered as an external disturbance to each subsystem. A mathematical model is derived for each subsystem and based upon these models controllers are designed for keeping each subsystem stable, which in turn stabilizes the overall system. So, the proposed controller is decentralized in nature. To account for the modeling uncertainties, an observer is designed to estimate each subsystem’s own and interfacing variables. The controller uses these estimates to optimize a given performance index and allocate generating unit outputs according to the requirements.     

基于互信息和PID神经网络的SCR脱硝扰动补偿控制

针对火电厂选择性催化还原(Selective Catalytic Reduction,SCR)烟气脱硝系统机理复杂,工况变化时呈现的不确定性、强扰动等特点,提出了一种基于互信息和PID神经网络的SCR烟气脱硝扰动补偿控制方法。利用PID前向神经网络的学习性能逼近被控对象的逆构成扰动观测器对系统进行反馈补偿,以达到超前消除系统扰动的目的。选取观测扰动和系统扰动的互信息为目标函数,采用改进的帝国竞争算法实现PID神经网络权值的优化调整。设计鲁棒PID控制器来进一步克服被控对象存在的不确定性。仿真实验表明,该方法具有突出的抗干扰能力和较好的鲁棒性,控制品质优于常规的PID控制。     

Stabilization of Euler-Bernoulli Beam Equation with Boundary Moment Control and Disturbance by Active Disturbance Rejection Control and Sliding Mode Control Approaches

We consider boundary stabilization for a one-dimensional Euler-Bernoulli equation with boundary moment control and disturbance. The active disturbance rejection control (ADRC) and sliding mode control (SMC) approaches are adopted in investigation. By the ADRC approach, a state feedback disturbance estimator with time-varying gain is designed to estimate the disturbance. It is shown that the closed-loop system is asymptotically stable by canceling the disturbance in the feedback loop with its online estimation. In the second part, the SMC is applied to reject the disturbance. The well-posedness of the closed-loop system via SMC is proven, and the monotonicity of the “reaching condition” is presented without differentiating the sliding mode function which may not always exist for the weak solution. The numerical experiments are presented to illustrate the convergence and the peaking value reduction caused by the constant high gain. In addition, the control energies are compared numerically for two approaches.     

永磁直驱风力发电机自抗扰技术及其无位置传感器控制策略

针对永磁直驱风力发电机传统矢量控制动态性能差,抗扰动能力弱的问题,提出一种双环线性自抗扰控制系统。在此基础上针对传统滑模观测器抖振等因素造成的速度和位置角观测误差较大的问题,提出改进型自适应滑模观测器。结果表明所设计的速度和电流双环线性自抗扰控制策略能有效提高转速跟踪性能和电流波形质量;在滑模观测器的基础上结合自适应算法精确观测反电动势,借鉴锁相环原理代替反正切函数估算出转子转速和位置角,相比传统滑模观测器具有更高的估算精度。     

基于干扰观测器的储能反步控制

当直流侧电压波动较大时,基于反步法设计的储能变流器无法依靠自身的鲁棒性平抑功率和直流电压波动.文章提出了一种基于干扰观测器的储能变流器反步控制算法,可提升控制器抗干扰的性能,有效抑制直流电压波动.首先建立双级式储能变流器数学模型并分析其工作原理;然后采用基于干扰观测器的反步法设计了储能变流器的控制器;最后,在Matla...     

改进灰狼优化算法在变桨距自抗扰控制中的应用

风电机组模型的不确定性以及风等外部干扰严重影响风电机组输出功率的稳定性,因此,将自抗扰控制器(ADRC)引入到风电机组变桨距控制中。当风速高于额定风速时,通过自抗扰变桨距控制策略有效调节桨距角,保证风电机组输出功率的稳定性。但ADRC参数繁多,仅靠专家经验进行整定比较困难。因此,文章提出将改进灰狼优化算法应用到ADRC中,完成参数的自寻优整定过程。仿真结果证明,经改进灰狼优化算法进行参数整定后的变桨距自抗扰控制系统能够对桨距角进行精确调整,并将输出功率快速稳定到额定值附近,具有较快的响应速度以及较好的抗扰动能力。     

Wind turbine robust disturbance accommodating control using non-smooth H∞ optimization

Disturbance accommodating control (DAC) has been developed in the last decades for wind turbines to control the rotor/generator speed and to reduce structural loads. The method allows accommodating unknown disturbance effects by using the combination of disturbance observers and disturbance rejection controllers. The actual main problem of DAC is to define suitable disturbance observer and controller gain matrices to achieve the desired overall performance including turbine speed regulation in combination with structural load mitigation. The disturbance rejection controller is often designed and tuned separately for individual applications and operating conditions. The closed-loop system stability and uncertainties due to the use of the linearized reduced-order model in controller synthesis procedure are not fully considered. This paper introduces a method to design DAC by optimizing the observer and controller parameters simultaneously to guarantee system performance respecting to structural loads mitigation, power regulation, and robustness. To eliminate the rotor speed control steady-state error due to model uncertainties, partial integral action is included. Simulation results using NREL reference wind turbine models show that the proposed method successfully regulates the rotor speed without error despite the presence of the model uncertainties. Structural loads are also reduced using proposed method compared to DAC designed by Kronecker product method. The proposed approach is able to define a stable and robust DAC controller by solving a non-smooth H_∞ optimization problem with structure and stability constraints.     

An integrated control method for a wind farm to reduce frequency deviations in a small power system

Output power of wind turbine generator (WTG) is not constant and fluctuates due to wind speed changes. To reduce the adverse effects of the power system introducing WTGs, there are several published reports on output power control of WTGs detailing various researches based on pitch angle control, variable speed wind turbines, energy storage systems, and so on. In this context, this paper presents an integrated control method for a WF to reduce frequency deviations in a small power system. In this study, the WF achieves the frequency control with two control schemes: load estimation and short-term ahead wind speed prediction. For load estimation in the small power system, a minimal-order observer is used as disturbance observer. The estimated load is utilized to determine the output power command of the WF. To regulate the output power command of the WF according to wind speed changing, short-term ahead wind speed is predicted by using least-squares method. The predicted wind speed adjusts the output power command of the WF as a multiplying factor with fuzzy reasoning. By means of the proposed method, the WF can operate according to the wind and load conditions. In the WF system, each output power of the WTGs is controlled by regulating each pitch angle. For increasing acquisition power of the WF, a dispatch control method also is proposed. In the pitch angle control system of each WTG, generalized predictive control (GPC) is applied to enhance the control performance. Effectiveness of the proposed method is verified by the numerical simulations.     

带恒功率负载多电平Boost变换器的复合非线性控制

针对带恒功率负载的多电平Boost变换器,提出一种将非线性干扰观测器和自适应滑模控制器相结合的复合非线性控制策略。首先应用精确反馈线性化方法将模型转化为布鲁诺夫斯基标准形式。然后在保证大信号稳定的前提下,将自适应控制方法和非线性干扰观测器加入到滑模控制器的设计中,利用李雅普诺夫理论证明整个闭环系统的稳定性。仿真和实验结果表明,与双闭环PI控制方法相比,该控制策略具有更好的动态调节性能和更强的鲁棒性。     

Oxygen excess ratio control of PEM fuel cells using observer-based nonlinear triple-step controller

This paper proposes a novel observer-based nonlinear triple-step controller for the air supply system of polymer electrolyte membrane (PEM) fuel cell. The control objective is adjusting the oxygen excess ratio to its reference value under fast current transitions, so as to avoid the oxygen starvation and obtain the maximum net power. Considering that the cathode pressure cannot be measured directly, we design a disturbance observer to estimate the cathode pressure based on the developed third-order nonlinear model of air supply system. Next, a triple-step nonlinear method is applied to derive an oxygen excess ratio tracking controller, wherein the stability of closed-loop system is guaranteed by Lyapunov-based technique. Subsequently, several key issues of controller in practical implementation are explained, and then the robustness analysis against the considered lumped disturbance is carried out. Finally, the performance of the proposed control scheme is validated through a series of comparative simulations, and the simulation results demonstrate the effectiveness and robustness of the proposed approach under different load variations and parameter uncertainties.     

Actuator fault detection for a PEMFC system based on delta operator approach

This paper proposes an actuator fault detection observer design method for a proton exchange membrane fuel cell (PEMFC) system described by delta operator form. In the first, a nonlinear mathematical model for the PEMFC system is proposed by using the mechanism analysis method, which includes the time delay, external disturbance and uncertainty to reduce the conservatism of the design. Then, in order to detect the actuator fault, the functional observer is constructed as the residual generator, and sufficient conditions for the stability of the error system are obtained by using the Lyapunov-krasovsky functional theory in terms of linear matrix inequalities (LMIs), so as to ensure the design of the required functional observer. Finally, simulation results are provided to show the effectiveness of the approach.