Research on Active Disturbance Rejection Control Technology of Electromechanical Actuators

Han, Jing; Wang, Hong-Fu; Guotai, Jiao; Cui, Liming; Wang, Yuren

doi:10.3390/electronics7090174

Cited by 23 publications

(16 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the case of ADRC, an extended state observer (ESO) is used to decouple the estimated disturbance to the controller input to make the control system robust. However, model uncertainty and sensor noise are typically regarded as a disturbance to a system in ADRC applications rather than the grid voltage at grid fault situations [21,22].…”

Section: Introductionmentioning

confidence: 99%

A Current Control Algorithm to Improve Command Tracking Performance and Resilience of a Grid-Connected Inverter

2020

View full text Add to dashboard Cite

This paper presents a stationary reference frame grid current control algorithm for a grid-connected inverter (GCI) to improve command tracking performance and resilience in response to disturbances, i.e., a grid voltage incident in a GCI current control system. In the proposed algorithm, disturbance rejection is applied to reduce the overcurrent at the GCI in response to a grid fault. Disturbances to the GCI current control system are estimated using a grid current observer, and the estimate applied to the grid current controller to activate the disturbance rejection. The stationary reference frame current of a GCI system is also controlled to avoid cross-coupling issues at a synchronous reference frame model, reference transformation and dependency to phase locked loop (PLL) performance. However, the phase lead or lag and steady-state response error, which are drawbacks of AC signal control based on stationary reference frame proportional-integral (PI) controller, must be eliminated in order to secure competition with the synchronous reference PI (SRFPI) controller that was mainly used in the GCI system. Hence, to compensate for command tracking the AC current, such as steady-state response error and phase lead or lag, command feedforward control is applied in the proposed control system. The theory behind the proposed GCI current control algorithm is analyzed, and the proposed algorithm is tested via simulation and experimentation.

show abstract

Section: Introductionmentioning

confidence: 99%

A Current Control Algorithm to Improve Command Tracking Performance and Resilience of a Grid-Connected Inverter

2020

View full text Add to dashboard Cite

show abstract

“…Although good performances were observed in simulations, these methods could seldom be used in the real CFB power plant due to the restrictions in the distributed control system. Due to the ability to deal with uncertainty, active disturbance rejection control (ADRC) has received increased attention across a number of disciplines in recent years, such as gasoline engines [25], proton exchange membrane fuel cell [26], electromechanical actuator [27], pendulum cart system [28], piezo-driven positioning stage [29], flight control [30], and so on. The basic principle of ADRC is the estimation and actively compensation via extended state observer (ESO).…”

Section: Introductionmentioning

confidence: 99%

On the Flexible Operation of Supercritical Circulating Fluidized Bed: Burning Carbon Based Decentralized Active Disturbance Rejection Control

Zhang

Xue

et al. 2019

Energies

View full text Add to dashboard Cite

Supercritical circulating fluidized bed (CFB) is one of the prominent clean coal technologies owing to the advantages of high efficiency, fuel flexibility, and low cost of emission control. The fast and flexible load-tracking performance of the supercritical CFB boiler-turbine unit presents a promising prospect in facilitating the sustainability of the power systems. However, features such as large inertia, strong nonlinearity, and multivariable coupling make it a challenging task to harmonize the boiler’s slow dynamics with the turbine’s fast dynamics. To improve the operational flexibility of the supercritical CFB unit, a burning carbon based decentralized active disturbance rejection control is proposed. Since burning carbon in the furnace responds faster than throttle steam pressure when the fuel flow rate changes, it is utilized to compensate the dynamics of the corresponding loop. The parameters of the controllers are tuned by optimizing the weighted integrated absolute error index of each loop via genetic algorithm. Simulations of the proposed method on a 600 MW supercritical CFB unit verify the merits of load following and disturbance rejection in terms of less settling time and overshoot.

show abstract

“…The active disturbance rejection controller (ADRC) was proposed by Han, and it had a large stability margin and bandwidth. However, the method required the control torque disturbance to be set [17]. A new hybrid model-free control and virtual reference feedback tuning (MFC-VRFT) method was ƒ proposed to solve the complex problem of traditional controllers.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Nonlinear Model Predictive Control of the Combustion Efficiency under the NOx Emissions and Load Constraints

Tang

Cao

2019

Energies

View full text Add to dashboard Cite

A data-driven modeling method with feature selection capability is proposed for the combustion process of a station boiler under multi-working conditions to derive a nonlinear optimization model for the boiler combustion efficiency under various working conditions. In this approach, the principal component analysis method is employed to reconstruct new variables as the input of the predictive model, reduce the over-fitting of data and improve modeling accuracy. Then, a k-nearest neighbors algorithm is used to classify the samples to distinguish the data by the different operating conditions. Based on the classified data, a least square support vector machine optimized by the differential evolution algorithm is established. Based on the boiler key parameter model, the proposed model attempts to maximize the combustion efficiency under the boiler load constraints, the nitrogen oxide (NOx) emissions constraints and the boundary constraints. The experimental results based on the actual production data, as well as the comparative analysis demonstrate: (1) The predictive model can accurately predict the boiler key parameters and meet the demands of boiler combustion process control and optimization; (2) The model predictive control algorithm can effectively control the boiler combustion efficiency, the average errors of simulation are less than 5%. The proposed model predictive control method can improve the quality of production, reduce energy consumption, and lay the foundation for enterprises to achieve high efficiency and low emission.

show abstract

Research on Active Disturbance Rejection Control Technology of Electromechanical Actuators

Cited by 23 publications

References 17 publications

A Current Control Algorithm to Improve Command Tracking Performance and Resilience of a Grid-Connected Inverter

A Current Control Algorithm to Improve Command Tracking Performance and Resilience of a Grid-Connected Inverter

On the Flexible Operation of Supercritical Circulating Fluidized Bed: Burning Carbon Based Decentralized Active Disturbance Rejection Control

Adaptive Nonlinear Model Predictive Control of the Combustion Efficiency under the NOx Emissions and Load Constraints

Contact Info

Product

Resources

About