Robust feedforward control system considering sudden disturbance for optical disk recording system

This paper proposes a new robust feedforward tracking servo system for optical disk recording systems in the case of a sudden disturbance for the optical disk recording system. In optical recording systems, the tracking servo system must suppress tracking error below its tolerance. This paper designs the robust feedback control system by using the coprime factorization and disturbance observer. The proposed robust feedback control system suppresses the sudden disturbance caused by walking and running. The detecting signal of optical disk recording systems is only a tracking error. Hence, the feedforward controller of the proposed tracking control system is constructed based on both Zero Phase Error Tracking (ZPET) control theory and prediction of tracking error. The experimental results point out that the proposed tracking servo system has a quick and precise tracking response and keeps the residual tracking error below its tolerance. © 2006 Wiley Periodicals, Inc. Electr Eng Jpn, 156(4): 60– 68, 2006; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20257     

Force sensorless robust tracking servo system suppressing periodic disturbance and sudden disturbance for optical disk system

This paper proposes a new force sensorless robust tracking servo system, which detects and suppresses both the periodic disturbance and the sudden disturbance without force sensor. The proposed system estimates both the periodic disturbance and the sudden disturbance and the sudden disturbance by using a new sudden disturbance observer and the memory of tracking error. In the proposed system, the influence of sudden disturbance is suppressed by the proposed sudden disturbance observer. On the other hand, the influence of periodic disturbance is suppressed by means of ZPET feed‐forward servo system. The experimental results point out that the proposed tracking servo system has a precise tracking response against both the periodic disturbance and the sudden disturbance. © 2008 Wiley Periodicals, Inc. Electr Eng Jpn, 166(1): 82–90, 2009; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20614     

为提高轮廓加工精度采用DOB和ZPETC的直线伺服鲁棒跟踪控制

为了提高轮廓加工精度,本文针对高精度直线伺服系统,提出了一种将零相位误差跟踪控制器(ZPETC)和干扰观测器(DOB)相结合的鲁棒跟踪控制策略.ZPETC作为前馈跟踪控制器,保证了快速性,使系统实现准确跟踪;基于DOB的鲁棒反馈控制器补偿了外部扰动、未建模动态、系统参数变化和机械非线性等,保证了系统的强鲁棒性能.仿真结果表明了所提出的控制方案是有效的,既能实现完好跟踪,又有较强的鲁棒性能.从而有效地减小了轮廓误差,提高了轮廓加工精度.     

Adaptive asymptotical tracking controller design for uncertain nonaffine nonlinear system with high‐order mismatched disturbances

In this paper, the problem of anti‐disturbance asymptotical tracking control is studied for nonaffine systems with high‐order mismatched disturbances. The disturbances can be described as polynomial functions, which are first estimated by constructing generalized extended state filter. The nonaffine system is changed into an augmented affine system via introducing an auxiliary integrator. A novel adaptive anti‐disturbance tracking controller is recursively designed, where the disturbance estimation is used for feedforward compensation at each step. A sliding mode differentiator is applied to reduce the computational burden taken by the backstepping method. The boundedness of the closed‐loop system is proved based on Lyapunov stability theory and zero error tracking performance is ensured. Finally, a numerical example is provided to show the effectiveness of the proposed scheme.     

Tracking control for industrial robot using notch filtering system with little phase error

This paper proposes a new method for generation of a position reference that has both vibration suppression performance and fast tracking performance for industrial robots. It is important for industrial robots to drive at high speed and with high accuracy. In such cases, vibration is generated. Conventionally, the notch filter is used in order to reduce vibration. It is able to eliminate the natural frequency component, but a reference phase error is generated. The reference phase error causes locus error in the robot. Therefore, the accuracy of the robot is degraded by using a notch filter. The proposed method overcomes this problem by using the compensation gain. The proposed compensation gain is used in order to calculate the reference phase error. Compensation of the reference phase error is attained by feedforward input. Numerical and the experimental results confirm that the proposed method is valid for reducing vibration phenomena and that it decreases the phase error. © 2011 Wiley Periodicals, Inc. Electr Eng Jpn, 175(1): 53–63, 2011; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/eej.20931     

伺服系统中一种新型前馈控制结构的研究

跟踪性能是伺服系统的本质性能,前馈控制是提高交流伺服系统跟踪性能的一种有效手段。在速度前馈的基础上,研究了在转矩闭环的给定信号上增加转矩前馈的新型前馈控制结构,以提高伺服系统的位置跟踪性能。实验结果显示该控制结构大幅度地减小了交流伺服系统梯形响应或S曲线响应中的加减速段的位置跟踪误差。     

基于优化设计数字滤波器在伺服控制中的应用

在高精确度伺服控制系统中,通常采用零相位误差跟踪控制器ZPETC作为前馈控制器, 作用是消除相位误差,但是,ZPETC将导致很小的增益误差。为改善ZPETC对系统增益性能的影响,提出一种基于L2范数优化的前馈控制器设计方案,通过选取适当的目标函数,设计出最优的数字滤波器,将此滤波器与ZPETC串联组成新的前馈控制器,此滤波器在保持系统零相位误差的同时,改善了系统的增益性能,提高了跟踪精确度。仿真实验表明,采用本文提出的优化设计方案,能够改善系统的运动跟踪性能。     

位置伺服系统控制算法的研究

传统PID控制在伺服系统高精度位置跟踪和改善系统品质方面已露出诸多不足,且系统中存在的控制干扰和测量噪声会在很大程度上影响伺服系统的跟踪精度.提出一种带有卡尔曼滤波器的重复控制补偿PID和前馈补偿相结合的控制方法.通过仿真证明该控制方法能以较高的精度跟踪周期性输入信号,且有较好的抑制随机扰动和鲁棒性.     

最优ZPETC在伺服跟踪控制中的应用

在高精度伺服跟踪控制系统中,为使输出响应能完整地跟踪输入指令,不仅要求输出与输入之间的相位差为零,而且要求幅值一致,通常采用零相位误差跟踪控制器(ZPETC)作为前馈控制器,补偿相位误差,但同时也产生一定的增益误差.为改善ZPETC的跟踪性能,提出一种基于L2-范数优化的前馈控制器设计方案,通过选取适当的目标函数,设计出最优的数字前置滤波器(DPF),将此滤波器与ZPETC串联构造成最优ZPETC.仿真结果表明,该优化设计方案,既补偿了相位误差,又改善了系统的增益性能,从而提高了系统的跟踪精度.     

New Simple High‐Quality Torque Control for Permanent‐Magnet Synchronous Motors: Compensating for Torque Ripple Caused by Nonsinusoidal Back EMF

This paper proposes a new and simple torque‐sensorless torque control method for permanent‐magnet synchronous motors (PMSMs) with nonsinusoidal back EMF. The method suppresses the sixth and/or 12th harmonic torque ripples caused by the back EMF in a feedforward manner even at high speeds; it consists of two subordinate methods for compensation command generation and command‐tracking current control. The first subordinate method generates compensation current commands to cancel the torque ripples based on a mathematical model of PMSMs. The second method controls the stator current to track a current command containing both fundamental and compensatory components. In conjunction with the current control, a dedicated disturbance observer that employs a digital speed‐varying band‐pass filter as a disturbance filter is also proposed. The effectiveness and usefulness of the proposed method were verified through extensive experiments.     

双三相永磁同步电机位置伺服前馈反馈复合控制

传统伺服系统的位置控制器只采用纯比例控制,不能兼顾系统的响应速度和稳定裕度,且对斜坡等输入信号不能实现无差跟踪。通过分析位置伺服系统的传递函数,设计了一种新型前馈反馈复合控制器。该复合控制器重构了系统的误差传递函数,使系统能够准确跟踪给定信号,提高了伺服系统的跟踪性能和稳定性。为了进一步提升电流环动态性能,在电流环添加反电动势前馈势补偿,用于减小反电动势对电流响应的影响。仿真和试验表明,该控制方法提高了位置伺服系统的动态性能和跟踪精度,验证了前馈反馈复合控制的有效性。     

基于迭代学习与FIR滤波器的PMLSM高精密控制

针对永磁直线同步电机(PMLSM)运行时易受端部效应、摩擦力、负载扰动、参数变化等不确定性因素的影响而难以达到高精度跟踪控制的问题,提出一种基于迭代学习与有限冲击响应(FIR)滤波器的控制方案。PMLSM伺服系统执行重复任务时,迭代学习控制(ILC)可有效地抑制重复性扰动,具有很高的控制精度,但执行非重复性任务时很难获得较高的控制精度。为了进一步改善基于ILC的PMLSM伺服系统运行迭代1次的跟踪精度,利用ILC的输出信息来设计FIR滤波器,进而用FIR滤波器来代替ILC,使控制系统达到最优的ILC,以提高系统的跟踪精度。采用滑模控制(SMC)对FIR滤波器进行补充,使位置误差快速收敛到一定的界限内,以提高系统的抗扰能力。实验结果表明,所提出的控制方案使系统具有很高的位置跟踪精度和很强的鲁棒性。     

高精度定位系统的摩擦力自适应前馈补偿

为了有效抑制机电系统摩擦力等外部扰动对系统动态性能的影响,针对直驱伺服系统中往复定位存在的摩擦力,提出了一种基于自适应前馈控制器的摩擦力补偿策略,此方法能够有效利用参考模型与被控对象的位置跟踪误差等信息,在线实时确定自适应控制率,在保证系统稳定的条件下,能够有效克服系统摩擦力及模型慢时变等引起的系统动态性能异常.针对直...     

基于复合前馈控制的交流位置伺服系统动态特性

永磁同步电动机(PMSM)位置伺服系统经典PID控制具有控制结构简单、响应快等优点,但存在等速跟踪和正弦跟踪稳态精度低等缺点。提出并设计了复合前馈控制器,其中速度环采用PI控制,位置环通过复合前馈控制的设计来消除等速与正弦跟踪误差。计算机仿真结果表明,该控制器可有效降低PMSM位置伺服系统在等速与正弦跟踪时的稳态跟踪误差,提高其控制精度。     

基于粒子滤波前馈补偿的电机伺服系统控制

针对电机轨迹跟踪过程的非线性非高斯噪声，提出采用基于粒子滤波的前馈控制器。同时对电机伺服系统提出一种二自由度控制结构，基于闭环系统的鲁棒最优性能指标，设计给定值状态目标跟踪控制器，根据系统稳态运行时的抗扰动要求，在过程输入和控制对象输入之间设计前馈控制器、在对象输入和输出端之间设计负载干扰抑制闭环，利用粒子滤波的方法消除非高斯噪声对控制系统的干扰。仿真实例验证了该控制系统的可行性和优越性，可以有效提高电机轨迹跟踪精度。     

硬盘磁头快速精确定位伺服控制系统的设计

针对以音圈电机作为伺服机构的硬盘磁头定位伺服系统的性能要求,设计了一个参数化的控制器并进行仿真和实验研究。在控制设计中,采用一种复合非线性反馈(CNF)控制技术,以提高控制系统的瞬态性能,达到快速的响应和低超调;通过设计一个降阶观测器对伺服系统中的未知扰动进行估计及补偿,消除扰动可能带来的稳态跟踪误差。仿真和实验结果表明硬盘磁头可以实现对目标磁道快速准确的定位。参数化设计的伺服控制器具有通用性,可推广应用到其他伺服系统。     

直线电动机位置控制算法设计与实现

为了实现一种动圈型永磁直线直流电机的位置伺服控制,提出了基于对象模型的位置前馈跟踪控制算法,并对该控制策略的数字化实现方法进行了分析。基于TI公司的DSP开发平台,采用模块化程序设计方法,阐述了软件设计的主要功能模块及相关寄存器的设置,给出了软件流程图。实验结果表明,在采样周期为0.2ms时,位置前馈跟踪控制算法可得到较小的位置跟踪偏差。     

基于RFNN补偿的直线伺服系统反推控制

针对永磁直线同步电机(PMLSM)伺服系统,在分析影响直线伺服跟踪精度因素的基础上,采用智能反推控制策略对该伺服系统进行有效的补偿控制。考虑参数变化、外部负载扰动和摩擦力等不确定因素对系统伺服性能的影响,设计基于递归模糊神经网络(RFNN)的反推控制器,利用了递归神经网络具有捕获系统动态信息的优点,可实时补偿不确定因素对跟踪性能的影响。仿真结果表明,控制策略明显降低了不确定因素对系统性能的影响,从而显著提高了直线伺服系统的位置跟踪精度。     

A clarifying analysis of feedback error learning in an LTI framework

Feedback error learning (FEL) is a proposed technique for reference‐feedforward adaptive control. FEL in a linear and time‐invariant (LTI) framework has been studied recently; the studies can be seen as proposed solutions to a ‘feedforward MRAC’ problem. This paper reanalyzes two suggested schemes with new interpretations and conclusions. It motivates the suggestion of an alternative scheme for reference‐feedforward adaptive control, based on a certainty‐equivalence approach. The suggested scheme differs from the analyzed ones by a slight change in both the estimator and the control law. Boundedness and error convergence are then guaranteed when the estimator uses normalization combined with parameter projection onto a convex set where stability of the estimated closed‐loop system holds. Copyright © 2008 John Wiley & Sons, Ltd.     

Experience replay–based output feedback Q‐learning scheme for optimal output tracking control of discrete‐time linear systems

This paper focuses on solving the adaptive optimal tracking control problem for discrete‐time linear systems with unknown system dynamics using output feedback. A Q‐learning‐based optimal adaptive control scheme is presented to learn the feedback and feedforward control parameters of the optimal tracking control law. The optimal feedback parameters are learned using the proposed output feedback Q‐learning Bellman equation, whereas the estimation of the optimal feedforward control parameters is achieved using an adaptive algorithm that guarantees convergence to zero of the tracking error. The proposed method has the advantage that it is not affected by the exploration noise bias problem and does not require a discounting factor, relieving the two bottlenecks in the past works in achieving stability guarantee and optimal asymptotic tracking. Furthermore, the proposed scheme employs the experience replay technique for data‐driven learning, which is data efficient and relaxes the persistence of excitation requirement in learning the feedback control parameters. It is shown that the learned feedback control parameters converge to the optimal solution of the Riccati equation and the feedforward control parameters converge to the solution of the Sylvester equation. Simulation studies on two practical systems have been carried out to show the effectiveness of the proposed scheme.