Improved High Order Model-Free Adaptive Iterative Learning Control with Disturbance Compensation and Enhanced Convergence

In this paper,an improved high-order model-free adaptive iterative control(IHOMFAILC)method for a class of nonlinear discrete-time systems is proposed based on the compact format dynamic linearization method.This method adds the differential of tracking error in the criteria function to compensate for the effect of the random disturbance.Meanwhile,a high-order estimation algorithmis used to estimate the value of pseudo partial derivative(PPD),that is,the current value of PPD is updated by that of previous iterations.Thus the rapid convergence of the maximumtracking error is not limited by the initial value of PPD.The convergence of the maximumtracking error is deduced in detail.This method can track the desired output with enhanced convergence and improved tracking performance.Two examples are used to verify the convergence and effectiveness of the proposed method.

Nighttime Construction Noise Disturbance Compensation in Beijing:Taking the Tongzhou New Campus Project of Renmin University of China as an Example

By examining a specific case of compensating for nighttime construction noise in Beijing’s construction projects,we explored how the costs of mitigating construction noise disturbance could be fairly distributed among multiple construction projects near residential areas.In this process,the local government played a crucial coordinating role.According to regulations,construction units must include the costs of preventing and controlling construction noise pollution in the project cost.The construction contract should clearly specify the construction unit’s responsibility for noise pollution prevention and control.After signing the contract,the construction unit should promptly undertake relevant measures to minimize disturbances caused by nighttime construction,aiming to reduce the adverse impacts on the community and ensure the smooth progress of the construction project.

Adaptive actuator failure compensation and disturbance rejection scheme for spacecraft

An adaptive actuator failure compensation scheme is proposed for attitude tracking control of spacecraft with unknown disturbances and uncertain actuator failures. A new feature of this adaptive control scheme is the adaptation of the failure pattern parameter estimates, as well as the failure signal parameter estimates, for direct adaptive actuator failure compensation. Based on an adaptive backstepping control design, the estimates of the disturbance parameters are used to solve the disturbance rejection problem. The unknown disturbances are compensated completely with the stability of the whole closed-loop system. The scheme is not only able to accommodate uncertain actuator failures, but also robust against unknown external disturbances. Simulation results verify the desired adaptive actuator failure compensation performance.

Adaptive current compensation with nonlinear disturbance observer for single-sided linear induction motor considering dynamic eddy-effect

An adaptive current compensation control for a single-sided linear induction motor(SLIM) with nonlinear disturbance observer was developed. First, to maintain t-axis secondary component flux constant with consideration of the specially dynamic eddy-effect(DEE) of the SLIM, a instantaneously tracing compensation of m-axis current component was analyzed. Second,adaptive current compensation based on Taylor-discretization algorithm was proposed. Third, an effective kind of nonlinear disturbance observer(NDOB) was employed to estimate and compensate the undesired load vibrations, then the robustness of the control system could be guaranteed. Experimental verification of the feasibility of the proposed method for an SLIM control system was performed, and it showed that the proposed adaptive compensation scheme with NDOB could significantly promote speed dynamical response and minimize speed ripple under the conditions of external load coupled vibrations and unavoidable feedback control variables measured errors, i.e., current and speed.

Deign of a Synchro-compensation Control System for Elimination of Disturbance

To counter the strong disturbance caused by the rotation of steering axle, a synchro-compensation methodis proposed to absorb the generated disturbance now by driving the loading motor stator to make it synchronously rotatewith its axle. Through analyzing and discussing different kinds of synchro-compensation schemes, the determinedpassive position and speed synchro-compensation systems are designed and simulated by computer. The results prove thatthisa method is effective to eliminate the strong disturbance of the steering axle.

非线性不确定机器人复合滑模非脆弱H_(∞)位/力控制

针对非线性不确定机器人面临参数不确定性、控制器增益摄动及外界干扰的问题,在其终端受环境约束的情况下,提出一种基于多项式平方和(sum of squares,SOS)理论的复合滑模非脆弱H_(∞)(composite sliding non-fragile H_(∞),CSNH)位/力控制策略。首先,建立了机器人降阶动力模型和误差状态空间模型。其次,根据所提的复合位/力滑模面,基于Lyapunov稳定性理论设计一种具有H_(∞)扰动抑制的非线性变参数滑模非脆弱状态反馈控制器,给出控制器存在条件和求解方法。仿真结果表明,CSNH控制能够在不确定性和外部干扰作用下,使机器人快速、精确地跟踪位/力指令,体现出了良好的鲁棒性、抗干扰性及非脆弱性。

Robust Position Anti-Interference Control for PMSM Servo System With Uncertain Disturbance

Aiming to suppress the influence of uncertain disturbances in the drive control of permanent magnet synchronous machines(PMSM),such as the parameter uncertainties and load disturbance,a robust anti-interference control for the angular position tracking control of a PMSM servo system has been proposed in this paper.During the position tracking,uncertain system disturbances being regarded as a lumped unknown term will be online observed by a nonlinear disturbance observer(NDOB),of which the influence will consequently be counteracted by a robust backstepping compensator(RBC).The asymptotical stability of proposed control scheme is analyzed and designed according to the Lyapunov stability criterion,and its convergence against the system uncertain disturbance is verified on a prototype PMSM servo platform and shows good performance in rotor angular position tracking and anti-interference.

A Variable-Parameter-Model-Based Feedforward Compensation Method for Tracking Control

Base on the accurate inverse of a system, the feedforward compensation method can compensate the tracking error of a linear system dramatically. However, many control systems have complex dynamics and their accurate inverses are difficult to obtain. In the paper, a variable parameter model is proposed to describe a system and a multi-step adaptive seeking approach is used to obtain its parameters in real time. Based on the proposed model, a variable-parameter-model-based feedforward compensation method is proposed, and a disturbance observer is used to overcome the influence of the model uncertainty. Theoretical analysis and simulation results show that the variable-parametermodel-based feedforward compensation method can obtain better performance than the traditional feedforward compensation.

On Hierarchical Compensation Based Active Disturbance Rejection Control for ACMM Problem of Spacecraft

The attitude control and momentum management(ACMM)problem is quite fundamental for many spacecrafts including space stations,sky laboratories and etc.Instead of single attitude control problem,ACMM problem has to take account of both disturbance rejection and energy optimization.This paper studies the ACMM problem for general spacecraft.A practical active disturbance rejection control architecture is proposed with hierarchical compensation to different kinds of uncertain dynamics or disturbances.In particular,by integrating RLS into ESO,the constant and sinusoidal disturbance terms to be compensated are reconstructed.Also,the LQR law is implemented to achieve the desired performance of control systems after disturbance compensation.Furthermore,quantitative performances of the generalized ESO,the RLS algorithm and the closed-loop tracking system are rigorously analyzed.Finally,the results under 9-DOF semi-physical test environment show the effectiveness of our control method.

基于广域测量的汽轮发电机励磁反步控制方法

由于汽轮发电机励磁反步控制过程中没有实时获取发电机的运行数据,致使电机励磁反步控制效果较差,为此提出基于广域测量的汽轮发电机励磁反步控制方法。通过广域测量系统的同步相量测量单元,实时采集汽轮发电机功角与电流等运行数据,将采集的运行数据变更成标幺值形式,根据该形式建立汽轮发电机励磁控制的数学模型,获取励磁反步控制变量,并结合反步法,设计汽轮发电机励磁反步控制器,通过径向基函数神经网络估计控制器内的扰动,完成控制器扰动补偿。实验结果表明:该方法可精准采集汽轮发电机运行参数,有效反步控制汽轮发电机励磁,令汽轮发电机功角与转子角速度等迅速恢复至稳定状态,具备较优的反步控制效果;应用该方法后,可确保电网运行稳定性,降低故障后电网切机量。

含模型协同补偿的微电网变换器自抗扰稳压控制

针对直流微电网中双向DC-DC变换器输出端口电压受扰不稳定的问题,提出一种含已知扰动模型描述和未知扰动二阶描述协同补偿的线性自抗扰控制策略,以减小线性扩张状态观测的观测负担、提高其观测精度,并进一步改善自抗扰控制系统的抗扰性能。通过对系统性能的理论分析,说明了该控制策略能改善电压受扰波动的原因。最后,通过仿真和实验对比说明改进型自抗扰控制系统在抗扰性、鲁棒性上均优于电压外环电流内环的PI控制以及传统自抗扰控制。

大时滞不确定系统的滞后时间削弱与自抗扰控制

针对具有变时滞、变参数和扰动的大时滞不确定系统的控制问题,本文提出了滞后时间削弱与自抗扰控制方法,综合应用了前馈控制、反馈控制和自抗扰补偿控制.为了提高系统的稳定性,在前馈控制器的设计中采用了系统的边界模型确定控制器参数取值范围;采用系统边界模型输出与系统实际输出的动态加权和作为反馈控制器的输入.为了提高系统控制的性能,自抗扰补偿控制回路的设计基于标称模型的补偿控制器.理论证明和仿真结果表明,所提出的方法是有效的,其在具有模型参数变化、滞后时间变化和外部扰动情况下,能保证系统的稳定性和良好的控制性能.

全超导托卡马克核聚变发电装置快控电源的干扰抑制离散积分滑模电流控制

全超导托卡马克核聚变发电装置(EAST)快控电源的首要性能指标是快速跟踪参考信号,以输出电流实现负载线圈的励磁,对等离子体的垂直位移进行反馈控制。EAST快控电源负载线圈受装置内部部件和真空内等离子体的影响,线圈感值会出现小范围内慢时变波动以及线圈上存在互感电动势干扰,传统比例-积分(PI)控制方法在电流跟踪控制过程中存在不足。为了实现干扰的抑制和应对负载波动,提出一种带干扰抑制的离散积分滑模控制方法,根据系统状态方程设计离散积分滑模控制器,结合滑模干扰观测器实现集总干扰的观测,对集总干扰进行前馈补偿控制。为了抑制抖振和加快收敛速度,设计一种新型平滑饱和函数和增益自适应观测器,根据观测电流误差和跟踪电流误差自适应调整观测器增益。对比传统PI控制,仿真和实验验证了所提控制方法具有更加优良的电流跟踪特性,在输出电流超调更小的情况下动态响应更快,能够有效地抑制负载侧扰动,具有良好的鲁棒性。

基于滑模扰动观测器的阀门开度预测控制

针对电动阀门在运行过程中,由于外部干扰、系统参数变化、摩擦力等非重复干扰的影响而难以达到高精度控制的问题,提出一种基于滑模扰动观测器的预测控制方法。通过对阀门驱动原理进行深入研究,构建阀门的数学模型,根据模型中电机电流与总负载扰动的正相关性,以电机电流、阀门转速为输入量,采用滑模扰动观测器对系统总负载扰动进行估计。设计模型预测控制器,对扰动估计值进行补偿,实现对阀门开度控制的准确性,鲁棒性以及对总扰动值跟踪的快速性。理论分析、仿真和试验表明:观测器仅0.001 s便跟踪到了设定值,收敛速度快,阀门开度精度误差在0.2%以内,完全达到控制目标,开度控制效果良好。可充分验证该控制方法在不同的负载扰动下,依然能使电动阀门保持良好的开度控制精度以及抗扰动能力。

永磁同步电机非线性增益非奇异快速终端滑模控制

为了研究传统滑模控制中系统误差在有限时间内无法收敛至0以及传统滑模控制中系统抖振与收敛速度互不兼容的问题,提出一种非奇异快速终端滑模控制与扰动观测器结合的速度控制器。通过将参数可变的非线性函数作为增益代替固定增益加入滑模控制策略中从而改善系统响应速度同时减小系统的抖振。针对转矩扰动对系统的影响,加入负载转矩扰动观测器并补偿到q轴电流中以进一步提高控制器抗负载扰动能力。根据李雅普诺夫稳定性理论对提出的新型滑模控制器进行稳定性证明,经过仿真和实验证明,电机在启动时响应快、无超调且抖振较小,在突加转矩时转速波动小且恢复时间迅速,证明了改进后的变增益非奇异终端滑模控制与传统非奇异快速终端滑模控制策略相比可以提高动态性能的同时抑制系统抖振、增强系统的鲁棒性。

一种新型永磁同步电机高阶滑模控制算法

针对永磁同步电机控制系统易因外部扰动等不确定性影响而导致控制性能下降的问题,提出了一种基于改进自适应非奇异终端滑模控制器和滑模扰动观测器补偿技术的复合控制算法。选择新型自适应指数趋近律设计非奇异终端滑模转速环控制器,新型趋近律可以在保证减少抖振的同时保证控制系统能够快速收敛,可动态适应被控系统的变化;利用扩展滑模扰动观测器实时估计系统中不确定性参数,并对控制器进行前馈补偿,且通过Lyapunov函数证明了其稳定性。仿真和试验结果表明,与PI控制、传统滑模控制方法相比,所提方法有效改善了抖振问题,提高了控制系统对电机的控制精度,提升了系统的鲁棒性和抗干扰性能。

压差式流量计误差自动化修正算法研究

针对在多干扰源扰动下压差式流量计测量结果面临输出不稳、误差较大的问题,提出多源扰动下的压差式流量计误差自动化修正算法。考虑全补偿气体可膨胀性系数、压缩系数、密度系数和流出系数等因素,研究压差式流量计误差自动化修正算法。利用均值滤波滤除信号中的高斯噪声,结合一阶滞后滤波优化卡尔曼滤波算法,修正多源扰动误差。引入自组织算法和Volterra神经网络进一步改进卡尔曼滤波算法,并优化卡尔曼滤波算法的先验模型参数,以实现多源扰动误差的自动化修正。试验结果表明,经该算法控制后:当参考流量为900 m^(3)/h时,示值误差绝对值为0.203%;当参考流量为700 m^(3)/h时,流量计重复性为0.06%。该研究可以有效识别并修正由于多源扰动造成的流量异常值,且流量测量精度较高。

模型预测转矩自抗扰控制下直驱永磁同步发电机最大追踪系统

为了更好地获取风能,构建了一种基于模型预测转矩自抗扰的最大功率追踪控制系统,用于直驱永磁同步发电机(permanent magnet synchronous generator,PMSG)来实现系统的最大输出功率追踪。为了提升PMSG响应性能,增强PMSG抗扰动性能,首先在电流环设计了模型预测转矩控制(model predictive torque control,MPTC),同时在速度环提出了一种参数补偿改进自抗扰控制(active disturbance rejection control,ADRC)策略,该方法继承了ADRC和MPTC的优点,可以很好地处理内部和外部干扰、建模误差和风速变化等不确定性问题,以实现在不同风速下最大功率追踪性能。从仿真结果可知当风速变化较小时所提控制策略转速静态误差几乎为0,传统MPTC控制策略误差为0.2 rad/s;当风速变化较大时所提控制策略转速静态误差较小,传统MPTC控制策略误差达到5 rad/s。研究结果表明所提出的控制方法在最大功率追踪较传统控制器具有更好的动态响应性能以及抗干扰性能。

复合干扰作用下基于干扰观测器的系统运行优化控制

为了优化实际工业系统性能,降低损耗,针对不同类型干扰同时作用的系统,提出一种改进的两层运行优化控制算法来解决干扰对控制系统带来的影响。首先,采取传统两层运行优化控制框架结构,在底层设计PID控制器来保证控制系统的跟踪性能,使得系统的输出能尽可能地跟踪设定值;其次,根据作用于系统的复合噪声类型,结合H_(∞)方法在上层设计干扰观测器以及补偿控制器进行干扰抑制,以使系统的输出能够跟踪最优设定值;最后,通过数值仿真验证该方法的有效性。

感应电机的H_∞抗干扰控制

本文运用时域地方法来处理感应电机控制中的干扰抑制问题．首先运用微分几何方法将非线性对象反馈线性化；然后采用本文提出的H∞干扰抑制方法达到预定的鲁棒性能指标和闭环系统的稳定．该方法只需求解一个代数Riccati不等式，避免了以往自适应方法计算的复杂性，仿真研究证实了该方法的实用性和有效性．