Research and Stability Analysis of Active-Disturbance-Rejection-Control-Based Microgrid Controllers

2016 ◽  
Vol 13 (10) ◽  
pp. 6774-6786
Author(s):  
Xiaoning Xu ◽  
Xuesong Zhou

With the rapid development of microgrid technology, the microgrid projects are no longer limited to laboratory demonstration and pilot platform. It shows greater value in practical applications. Hence, the smooth interaction between microgrid and the main grid plays a critical role. In this paper, a control method based on active disturbance rejection control (ADRC) is proposed in order to realize the seamless transition between grid-connected and islanding operation modes and stable operation with variable loads. It is verified by simulation that the proposed ADRC-based method features better performance compared to conventional proportional-integral-differential (PID) control. Meanwhile, the stability of the third-order extended state observer (ESO) in second-order ADRC is validated by using Lyapunov stability criteria.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chuang Cheng ◽  
Hui Zhang ◽  
Hui Peng ◽  
Zhiqian Zhou ◽  
Bailiang Chen ◽  
...  

Purpose When the mobile manipulator is traveling on an unconstructed terrain, the external disturbance is generated. The load on the end of the mobile manipulator will be affected strictly by the disturbance. The purpose of this paper is to reject the disturbance and keep the end effector in a stable pose all the time, a control method is proposed for the onboard manipulator. Design/methodology/approach In this paper, the kinematics and dynamics models of the end pose stability control system for the tracked robot are built. Through the guidance of this model information, the control framework based on active disturbance rejection control (ADRC) is designed, which keeps the attitude of the end of the manipulator stable in the pitch, roll and yaw direction. Meanwhile, the control algorithm is operated with cloud computing because the research object, the rescue robot, aims to be lightweight and execute work with remote manipulation. Findings The challenging simulation experiments demonstrate that the methodology can achieve valid stability control performance in the challenging terrain road in terms of robustness and real-time. Originality/value This research facilitates the stable posture control of the end-effector of the mobile manipulator and maintains it in a suitable stable operating environment. The entire system can normally work even in dynamic disturbance scenarios and uncertain nonlinear modeling. Furthermore, an example is given to guide the parameter tuning of ADRC by using model information and estimate the unknown internal modeling uncertainty, which is difficult to be modeled or identified.


Author(s):  
Zhengrong Chu ◽  
Christine Wu ◽  
Nariman Sepehri

In this article, a new automated steering control method is presented for vehicle lane keeping. This method is a combination between the linear active disturbance rejection control and the quantitative feedback theory. The structure of the steering controller is first determined based on the linear active disturbance rejection control, then the controller is tuned in the framework of the quantitative feedback theory to meet the prescribed design specifications on sensitivity and closed-loop stability. The parameter uncertainties of the vehicle system are considered at the tuning stage. The proposed steering controller is simulated and tested on a scale vehicle. Both the simulation and experimental results demonstrate that the scale vehicle controlled by the proposed controller is able to perform the lane keeping. In the experiments, the lateral offset between the scale vehicle and the road centerline is regulated within the acceptable ranges of ±0.03 m during straight lane keeping and ±0.15 m during curved lane keeping. The proposed controller is easy to be implemented and is simple without requiring complex calculations and measurements of vehicle states. Simulations also show that the control method can be implemented on a full-scale vehicle.


Author(s):  
Zhang He ◽  
Zhao Jiyun ◽  
Wang Yunfei ◽  
Zhang Zhonghai ◽  
Ding Haigang ◽  
...  

This study proposes a compound control method based on sliding mode and active disturbance rejection control to address the difficulty of controlling the cutting head for boom-type roadheader with parameter changes and uncertain disturbances. The fastest discrete tracking differentiator and extended state observer based on the traditional active disturbance rejection control are designed. Additionally, the controller of the sliding mode and active disturbance rejection control is constructed. Theoretical analysis indicates that the proposed controller ensures asymptotic stability, despite the existing uncertain disturbances. Moreover, a system based on AMESim and MATLAB/Simulink Co-simulation model is developed to further verify the performance of proposed algorithm. Compared with traditional active disturbance rejection control, proportional-integral-derivative(PID) and sliding mode control, co-simulation results demonstrate that the sliding mode active disturbance rejection compound control improves the tracking accuracy and robustness of the position servo system.


2020 ◽  
Vol 12 (10) ◽  
pp. 4171
Author(s):  
Qianchao Wang ◽  
Hongcan Xu ◽  
Lei Pan ◽  
Li Sun

Boiler forced draft systems play a critical role in maintaining power plant safety and efficiency. However, their control is notoriously intractable in terms of modelling difficulty, multiple disturbances and severe noise. To this end, this paper develops a data-driven paradigm by combining some popular data analytics methods in both modelling and control. First, singular value decomposition (SVD) is utilized for data classification, which further cooperates with back propagation (BP) neural network to de-noise the measurements. Second, prediction error method (PEM) is used to analyze the historical data and identify the dynamic model, whose responses agree well with the actual plant data. Third, by estimating the lumped disturbances via the real-time data, active disturbance rejection control (ADRC) is employed to control the forced draft system, whose stability is analyzed in the frequency domain. Simulation results demonstrate the efficiency and superiority of the proposed method over proportional-integral-differential (PID) controller and model predictive controller, depicting a promising prospect in the future industry practice.


Author(s):  
Naser Esmaeili ◽  
Reza Kazemi

Today, with the increasing growth in road traffic, many countries are welcoming long articulated vehicles because of their economic and environmental benefits and the positive effects on the problem of traffic congestion and the reduction in fuel consumption and environmental pollutants. The major problem with such vehicles is poor maneuverability at low speeds and inappropriate lateral performance at high speeds, resulting in accidents and financial losses. Therefore, in order to improve their safety, they need a control system that can improve the performance of the long articulated vehicles. In this article, a 19-degree of freedom dynamic model of the long articulated vehicle has been developed in MATLAB software. This vehicle consists of a tractor and two semi-trailer units. To adjust the articulated vehicle lateral dynamics, a robust control method based on the combination of active disturbance rejection control and back-stepping sliding mode control is introduced. Four control variables such as yaw rate and lateral velocity of the tractor and also first and second articulation angles are regulated by steering the axles of the tractor and two trailers. Furthermore, in order to measure the state variables of the long articulated vehicle, the extended Kalman filter is used. The results of the simulation in high-speed lane change and low-speed steep steer maneuvers indicate the superiority of this method over linear-quadratic regulator and sliding mode controllers. Finally, the robustness of this controller than conventional sliding mode and active disturbance rejection sliding mode controllers have been shown in the presence of noises.


2012 ◽  
Vol 182-183 ◽  
pp. 1474-1478
Author(s):  
Fei Meng ◽  
Jien Yang ◽  
Peng Song Yang ◽  
Biao Sun

Function fhan() and tracking differentiator are important components of Active Disturbance Rejection Control Technique. It is pointed out that function fhan() is not the optimal control synthesis function of discrete system, but function fsun() is. Amplitude and phase frequency characteristic curves of tracking differentiators constructed respectively by function fhan() and fsun() are given by computer simulations. The account formula about turning frequency is also given. Influence of parameter variation on tracking differentiator frequency characteristic is analyszed. The conclusion of this paper is supplement and perfection for the theory of tracking differentiator in Active Disturbance Rejection Control Technique, and it can promote rapid development of Active Disturbance Rejection Control Technique.


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