Disturbances rejection optimization based on improved two-degree-of-freedom LADRC for permanent magnet synchronous motor systems

Permanent magnet synchronous motor(PMSM)speed control systems with conventional linear active disturbance rejection control(CLADRC)strategy encounter issues regarding the coupling between dynamic response and disturbance suppression and have poor performance in suppressing complex nonlinear disturbances.In order to address these issues,this paper proposes an improved two-degree-of-freedom LADRC(TDOF-LADRC)strategy,which can enhance the disturbance rejection performance of the system while decoupling entirely the system's dynamic and anti-disturbance performance to boost the system robustness and simplify controller parameter tuning.PMSM models that consider total disturbances are developed to design the TDOF-LADRC speed controller accurately.Moreover,to evaluate the control performance of the TDOF-LADRC strategy,its stability is proven,and the influence of each controller parameter on the system control performance is analyzed.Based on it,a comparison is made between the disturbance observation ability and anti-disturbance performance of TDOF-LADRC and CLADRC to prove the superiority of TDOF-LADRC in rejecting disturbances.Finally,experiments are performed on a 750 W PMSM experimental platform,and the results demonstrate that the proposed TDOF-LADRC exhibits the properties of two degrees of freedom and improves the disturbance rejection performance of the PMSM system.

Active disturbance rejection control on first-order plant

Conventional PI control encounters some problems when dealing with large lag process in the presence of parameter uncertainties.For the typical first-order process,an observerbased linear active disturbance rejection control（LADRC） scheme is presented to cope with the difficulties,and a reduced-order observer scheme is proposed further.Some quantitative dynamic results with regard to non-overshoot characteristics are obtained.Finally,the performance boundaries of LADRC and PI control are explicitly compared with each other,which shows that the former is more superior in most cases.

Active Disturbance Rejection Control for a Multiple-Flexible-Link Manipulator

The control problem of multiple-flexible-link manipulators( MFLMs) is studied in this paper.The dynamic model of MFLM is derived and separated into two-time scale by utilizing the singular perturbation technique. The active disturbance rejection control( ADRC) is adopted to the slow subsystem to track a desired trajectory. The proposed ADRC structure preshapes the desired trajectory by utilizing the tracking differentiator,estimates the disturbance and internal states with an extended state observer,and guarantees a robust performance by combining a feedback controller with a feedforward term. Two types of feedback controllers are designed,proportional derivative( PD) controller and nonlinear PD( NPD) controller. For the fast subsystem,a fast stabilizing control is designed according to the standard linear quadratic regulator approach. Simulations are performed to evaluate the proposed control scheme.Results show that,compared with the traditional PD controller,the ADRC structure based control scheme has smaller overshot and shorter settling time,suppresses vibration quickly,and is robust to the maneuver speed. In general,the control scheme utilizing ADRC structure and NPD feedback controller shows better performance.

面向天线跟踪系统的ADRC控制器设计及参数优化

针对传统自抗扰控制器存在参数整定困难及控制器效果有待改善的问题,提出了一种基于改进型Fal函数的永磁同步电机位置自抗扰控制器控制策略,旨在优化伺服系统的控制效果。设计了Le_fal函数以解决Fal函数在定义域区间的不连续性问题和拐点处输出增益的抖动问题,减少了控制器待整定参数。针对自抗扰控制器参数难以整定的问题,采用粒子群算法对控制器参数进行优化。仿真实验结果表明,基于粒子群的改进型自抗扰控制器参数优化算法将超调量从传统自抗扰控制器的3.1016%降低至0.3375%,将调节时间从3.08 s降低到0.47 s,将稳态误差从0.0633降低至0.0162。结果表明,改进后的自抗扰控制器具有更好的快速性和鲁棒性。

Active disturbance rejection control for precise position tracking of piezoelectric actuators

Positioning with high precision piezoelectric actuators is widely used.To overcome positioning inaccuracy caused by hysteresis and creep of actuators,a precise tracking method for piezoelectric actuators using active disturbance rejection control(ADRC) has been proposed in this paper.This method,in real-time,actively estimates and compensates parameter uncertainties,nonlinear factors such as hysteresis,and external disturbances in the tracking system.Precise tracking of the piezoelectric actuator can be achieved without any form of feedforward compensations.The experimental results demonstrate that the active disturbance rejection controller can reduce tracking errors by over90%comparing with those using the PID controller.Those features of the proposed control method are very suitable for applications in adaptive optics.

Multi-Objective Optimization for Active Disturbance Rejection Control for the ALSTOM Benchmark Problem

Based on a thing that it is difficult to choose the parameters of active disturbance rejection control for the non-linear ALSTOM gasifier, multi-objective optimization algorithm is applied in the choose of parameters. Simulation results show that performance tests in load change and coal quality change achieve better dynamic responses and larger scales of rejecting coal quality disturbances. The study provides an alternative to choose parameters for other control schemes of the ALSTOM gasifier.

Path tracking for vehicle parallel parking based on ADRC controller

A novel path tracking controller for parallel parking based on active disturbance rejection control （ADRC） was presented in this paper. A second order ADRC controller was used to solve the path tracking robustness, which can estimate and compensate model uncertainty caused by steering kinematics and disturbances caused by parking speed and steering system delay. Collision-free path planning technology was adopted to generate the reference path. The simulation results validate that the performance of the proposed path tracking controller is better than the conventional PID controller. The actual vehicle tests show that the proposed path tracking controller is effective and robust to model uncertainty and disturbances.

Fractional Order Linear Active Disturbance Rejection Control for Linear Flexible Joint System

A linear flexible joint system using fractional order linear active disturbance rejection control is studied in this paper.With this control scheme,the performance against disturbances,uncertainties,and attenuation is enhanced.Linear active disturbance rejection control(LADRC)is mainly based on an extended state observer(ESO)technology.A fractional integral(FOI)action is combined with the LADRC technique which proposes a hybrid control scheme like FO-LADRC.Incorporating this FOI action improves the robustness of the standard LADRC.The set-point tracking of the proposed FO-LADRC scheme is designed by Bode’s ideal transfer function(BITF)based robust closed-loop concept,an appropriate pole placement method.The effectiveness of the proposed FO-LADRC scheme is illustrated through experimental results on the linear flexible joint system(LFJS).The results show the enhancement of the robustness with disturbance rejection.Furthermore,a comparative analysis is presented with the results obtained using the integer-order LADRC and FO-LADRC scheme.

Control of Linear Servo Carts with Integral-Based Disturbance Rejection

This paper describes a system designed for linear servo cart systems that employs an integral-based Linear Active Disturbance Rejection Control(ILADRC)scheme to detect and respond to disturbances.The upgrade in this control technique provides extensive immunity to uncertainties,attenuation,internal disturbances,and external sources of noise.The fundamental technology base of LADRC is Extended State Observer(ESO).LADRC,when combined with Integral action,becomes a hybrid control technique,namely ILADRC.Setpoint tracking is based on Bode’s Ideal Transfer Function(BITF)in this proposed ILADRC technique.This proves to be a very robust and appropriate pole placement scheme.The proposed LSC system has experimented with the hybrid ILADRC technique plotted the results.From the results,it is evident that the proposed ILADRC scheme enhances the robustness of the LSC system with remarkable disturbance rejection.Furthermore,the results of a linear quadratic regulator(LQR)and ILADRC schemes are comparatively analyzed.This analysis deduced the improved performance of ILADRC over the LQR control scheme.

Active Disturbance Rejection Control for Uncertain Nonlinear Systems With Sporadic Measurements

This paper deals with the problem of active disturbance rejection control(ADRC)design for a class of uncertain nonlinear systems with sporadic measurements.A novel extended state observer(ESO)is designed in a cascade form consisting of a continuous time estimator,a continuous observation error predictor,and a reset compensator.The proposed ESO estimates not only the system state but also the total uncertainty,which may include the effects of the external perturbation,the parametric uncertainty,and the unknown nonlinear dynamics.Such a reset compensator,whose state is reset to zero whenever a new measurement arrives,is used to calibrate the predictor.Due to the cascade structure,the resulting error dynamics system is presented in a non-hybrid form,and accordingly,analyzed in a general sampled-data system framework.Based on the output of the ESO,a continuous ADRC law is then developed.The convergence of the resulting closed-loop system is proved under given conditions.Two numerical simulations demonstrate the effectiveness of the proposed control method.

ADRC-GPC算法在旋转倒立摆系统中的应用

自抗扰广义预测控制(ADRC-GPC)是一种由广义预测控制技术和自抗扰控制技术有机结合的新型控制算法。该算法首先利用扩张状态观测器(ESO)估计出系统的总扰动;其次,引入虚拟控制量以抵消该总扰动作用,使原被控对象系统转化为积分器串联型系统;最后,利用GPC对新系统进行收敛控制。ADRC-GPC不仅可以有效避免传统GPC的在线计算量过大问题,还无须使用状态量的高阶信息,相比传统ADRC大大降低了调参难度。针对一级旋转倒立摆稳定控制问题中的强耦合、非线性等难点,设计了双通道ADRC-GPC融合控制器。仿真实验结果表明:ADRC-GPC控制器能够使一级旋转倒立摆系统达到控制目的,其对多变量非线性不稳定系统具有良好的控制性能。

Compensated acceleration feedback based active disturbance rejection control for launch vehicles

In this paper, the attitude tracking and load relief control problems against wind disturbances and uncertain aerodynamics as well as the engine thrust of launch vehicles are studied.Firstly, a framework of Compensated Acceleration Feedback based Active Disturbance Rejection Control(CAF-ADRC) is established to achieve both desired attitude tracking and load relief performances. In particular, the total disturbance that includes the effects caused by both aerocoefficient perturbations and disturbances is estimated by constructing an Extended State Observer(ESO) to achieve attitude tracking. Furthermore, combined with the normal acceleration due to the engine thrust, the accelerometer measurement is also compensated to enhance the load relief effect.Secondly, the quantitative analysis of ESO and the entire closed-loop system are studied. It can be concluded that the desired attitude tracking and load relief performances can be achieved simultaneously under the proposed approach. Besides, tuning laws of the proposed approach are systematically given, which are divided into ESO, Proportional Derivative(PD) and Compensated Acceleration Feedback(CAF) modules. Moreover, the performances under CAF-ADRC approach can be better than those under CAF based PD(CAF-PD) approach by tuning load relief gain.Finally, the approach presented is applied to a typical control problem of launch vehicles with wind disturbances and parameter uncertainties.

High AOA decoupling control for aircraft based on ADRC

In this paper, a practical decoupling control scheme for fighter aircraft is proposed to achieve high angle of attack(AOA)tracking and super maneuver action by utilizing the thrust vector technology. Firstly, a six degree-of-freedom(DOF) nonlinear model with 12 variables is given. Due to low sufficiency of the aerodynamic actuators at high AOA, a thrust vector model with rotatable engine nozzles is derived. Secondly, the active disturbance rejection control(ADRC) is used to realize a three-channel decoupling control such that a strong coupling between different channels can be treated as total disturbance, which is estimated by the designed extended state observer. The control surface allocation is implemented by the traditional daisy chain method. Finally,the effectiveness of the presented control strategy is demonstrated by some numerical simulation results.

基于ADRC的LCC-S谐振型无线充电副边闭环控制研究

针对磁耦合谐振式LCC-S无线充电系统工作过程中易受外界或自身参数扰动的影响导致输出电流、电压偏离目标值的问题,以及如何快速准确地对扰动情况做出反应,提出一种基于自抗扰控制ADRC(active disturbance rejection control)的副边恒流恒压二段式闭环控制方法。首先,通过电路分析研究了LCC-S型谐振网络的输出特性与系统参数的关系;其次,为实现闭环精准调控系统输出,建立副边Buck变换器的状态方程模型,并根据模型设计ADRC中跟踪微分器、扩张状态观测器和非线性状态误差反馈;最后,搭建基于ADRC的无线充电实验平台,在多参数扰动下比较ADRC控制器与PI控制器的控制效果,结果表明,ADRC控制器表现出更好的动态调节能力。

ADRC based control for a class of input time delay systems

This paper is concerned with the control design and the theoretical analysis for a class of input time-delay systems with stable, critical stable or unstable poles. In order to overcome the time delay, a novel feed-forward compensation active disturbance rejection control(FFC-ADRC) approach is proposed. It combines advantages of the Smith predictor and the traditional active disturbance rejection control(ADRC). The tracking differentiator(TD) is designed to predict the control signal, which adds an anticipatory control to the control signal and allows a higher observer bandwidth to obtain better disturbance rejection. The modified extended state observer(ESO) is designed to estimate both system states and the total disturbances(internal disturbance, uncertainties and delayed disturbance). Then the Lyapunov theory and the theory of the input-output stability are applied to prove the asymptotic stability of the closed-loop control system. Finally, numerical simulations show the effectiveness and practicality of the proposed design.

基于ADRC的四臂桥驱动伺服系统死区效应补偿

为了降低死区效应对伺服电机驱动系统的影响,对驱动电路进行设计、分析的基础上,引入自抗扰控制并串联内模状态观测器加以优化,对产生的死区进行补偿。首先,提出了一种四臂桥变换器驱动电路拓扑结构,分析了臂桥产生的死区电压规律。提出齿隙死区模型,分析齿隙死区对系统的影响;其次,将扩张状态观测器与内含内模原理的观测器串联,设计出可降阶的新型死区补偿控制器;最后,将改进的自抗扰控制策略应用于四臂桥驱动伺服电机齿隙死区模型,改善系统性能。结果表明,引入改进自抗扰控制器后,死区效应对伺服系统的影响降低了约40%,系统抗干扰能力增强,补偿效果稳定。

Continuous Commutation Failure Suppression Method Based on Self-adaptive Auto-disturbance Rejection Proportional-integral Controller for HVDC Transmission System

Once an asymmetrical fault occurs on the AC side of the receiving-end of a high-voltage direct current(HVDC)transmission system,the current reference will be affected by the control regulation on the DC inverter side and the commutation voltage asymmetry.In this case,the advance firing angle will fluctuate periodically,causing security threats to the system.If the fault cannot be cleared in time,the effect may be even more serious.However,the traditional proportional-integral(PI)controller cannot effectively suppress the periodic components in the input error signal,which is an important cause of continuous commutation failure.Thus,the system requires more time to recover from the fault.Motivated by this,a selfadaptive auto-disturbance rejection PI controller is proposed in this study.The controller has the advantages of fast response speed and strong anti-interference ability of the auto-disturbance rejection controller.On one hand,it can automatically adjust PI,and the parameters can maintain the system’s adaptive ability.On the other hand,the discretization process satisfies the computer simulation requirements.By applying the proposed controller to a system under constant current control and extinction angle control,the dynamic response speed can be improved and the robust performance of the system can be ensured when dealing with a wide range of perturbations.Finally,simulation results show that the proposed algorithm can effectively suppress the continuous commutation failure of DC transmission systems.

四旋翼无人飞行器ADRC-GPC控制

针对四旋翼无人飞行器的姿态控制系统,需要研究先进控制策略来达到满意的性能.将自抗扰控制(ADRC)与广义预测控制(GPC)相结合,设计一种新型自抗扰广义预测控制器(ADRC-GPC),利用ADRC中的扩张状态观测器(ESO)来估计和补偿非线性系统的模型不确定性以及外部扰动作用,将原始对象模型转化为积分器形式,然后针对积分器设计广义预测控制器.阶跃响应系数矩阵能被解析地求解出来,可有效地解决广义预测控制计算量大的问题.研究结果表明:所提出的ADRC-GPC控制方法能够对四旋翼无人飞行器姿态系统进行实时控制,可满足控制精度及快速性要求,并能有效地克服系统的外部干扰和多变量耦合作用.自抗扰广义预测控制器能够有效地控制欠驱动非线性多变量系统.

基于混合深度学习的压气机喘振快速诊断及自抗扰控制方法

[目的]为了提升压气机设备安全、稳定运行的水平,提出一种基于混合深度学习参数辨识的喘振状态快速诊断方法,以及一种用于实现压气机退喘的自抗扰控制策略。[方法]首先,采用长短期记忆神经网络(LSTM)处理压气机参数辨识输入输出数据的时序关系,并融入高斯过程回归(GPR)的区间概率估计能力,提出一种基于LSTM和GPR结合(LSTM-GPR)的混合深度学习参数辨识算法,进而实现对压气机喘振状态的快速诊断;然后,基于自抗扰控制方法对压气机的节流阀参数进行控制,通过控制量对压气机节流阀参数的补偿,实现对压气机喘振状态的准确控制。[结果]结果表明,混合深度学习参数辨识算法可以实现对压气机临界Greitzer参数的准确辨识,能快速、准确地判断出压气机是否处于喘振状态,并且基于自抗扰控制的控制策略,可以使压气机有效退出喘振状态,相比传统的PID控制和非线性反馈控制等控制方法,所提方法快速、有效,可保证压气机的工作范围。[结论]提出的参数辨识和自抗扰控制方法能够用于压气机的喘振诊断和主动控制,可提升压气机的安全性与稳定性。

基于新型ADRC控制器和MC变换器的电机DTC控制系统研究

针对传统PID控制器参数鲁棒性和抗干扰性均较差的问题,提出了一种基于简化参数的自抗扰控制器(ADRC)的感应电机(IM)直接转矩控制(DTC)方法,它以给定转速和实际转速作为输入信号,并以给定电磁转矩作为输出信号,从而设计了基于简化参数的ADRC速度控制器。另外,由于传统DTC系统中采用常规的矩阵变换器(MC),其电压传输比较低,难以满足电机对电压的要求,直接影响了电机的输出特性,依据三相boost斩波器和MC的优势,提出一种新型MC直接转矩控制(DTC)方法,并对其进行建模分析,从理论上证明了该拓扑结构的合理性。仿真结果表明了提出的电机DTC控制系统的转速和转矩响应快速,转矩脉动大大减小,系统具有良好的动、静态性能。