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Identification of Hammerstein systems with asymmetric dead-zone nonlinearities using canonical parameterized model

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控制理论与应用（英文版） 2012年第4期10卷 511-516页

作者： Xiaohua Lü xuemei ren School of Automation Beijing Institute of Technology

A non-iterative identification method with parameterization of the unknown dead-zone is proposed for Hammerstein systems in presence of asymmetric dead-zone nonlinearities. The canonical parameterized model which is a single expression without segmentation is utilized to describe the dead-zone, based on which a universal-type parametric model can be established to approximate the entire system. This model can be established without separating the nonlinear part from the linear part. The dead-zone parameters and the coefficients in the linear transfer function can be estimated simultaneously according to the proposed algorithm. Numerical experiments are presented to illustrate the effectiveness of the proposed scheme.

关键词： Hammerstein systems Asymmetric dead-zone nonlinearity Canonical parameterized model System identification

Finite-Time Neural Funnel Control for Motor Servo Systems with Unknown Input Constraint

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Journal of Systems Science & Complexity 2017年第3期30卷 579-594页

作者： CHEN Qiang TANG Xiaoqing NAN Yurong ren xuemei College of Information Engineering Zhejiang University of Technology School of Automation Beijing Institute of Technology

In this paper, a finite-time neural funnel control(FTNFC) scheme is proposed for motor servo systems with unknown input constraint. To deal with the non-smooth input saturation constraint problem, a smooth non-affine function of the control input signal is employed to approximate the saturation constraint, which is further transformed into an affine form according to the mean-value theorem. A fast terminal sliding mode manifold is constructed by using a novel funnel error variable to force the tracking error falling into a prescribe boundary within a finite time. Then, a simple sigmoid neural network is utilized to approximate the unknown system nonlinearity including the *** from the prescribed performance control(PPC), the proposed finite-time neural funnel control avoids using the inverse transformed function in the controller design, and could guarantee the prescribed tracking performance without knowing the saturation bounds in prior. The effectiveness and superior performance of the proposed method are verified by comparative simulation results.

关键词： Funnel control input constraint neural network servo system.

Multi-functional single-source acoustic tweezer

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Science China(Physics,Mechanics & Astronomy) 2023年第12期66卷 129-135页

作者： xuemei ren Qinxin Zhou Jie Huang Zheng Xu Xiaojun Liu Institute of Acoustics Tongji UniversityShanghai 200092China MOE Key Laboratory of Modern Acoustics Department of PhysicsNanjing UniversityNanjing 210093China

Acoustic tweezers have gained considerable attention due to their potential and important role in various applications.A costeffective and precise method for manipulating particles is using 3D-printed acoustic holographic ***,this technique is limited in its determined function for particle manipulation with a single holographic *** propose a method to overcome this limitation by constructing a multi-functional acoustic tweezer,which is capable of achieving diverse functions of particle *** demonstrate the ability to achieve fixed-angle rotation of a rectangular particle,multi-pattern particles arrangement,selectable left-right movement of a particle on a line,and completing two distinct trajectories with a single *** proposed method offers a flexible and real-time controlling approach for acoustic tweezers,which can partially substitute the phased arrays with high circuit complexity.

关键词： acoustic hologram acoustic tweezer particle transport

A Prescribed Performance Adaptive Control for Hysteresis Hammerstein System

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Journal of Systems Science & Complexity 2019年第4期32卷 1039-1052页

作者： GAO Xuehui ZHAO Wei WANG Shubo WANG Minlin ren xuemei Department of Mechanical and Electrical Engineering Shandong University of Science and TechnologyTai'an 271019China School of Automation Beijing Institute of TechnologyBeijing 100081China College of Automation and Electrical Engineering Qingdao UniversityQingdao 266071China

A prescribed performance adaptive control(PPAC)is proposed for Hammerstein system where nonlinearity is described by backlash-like *** order to simplify the controller design as well as guarantee the precision of the controlled system,the tracking error is transformed into performance error by two *** first step is to transform the tracking error into scalar error,but it magnifies the tracking error decreasing the accuracy of the controlled ***,a new S(z)is proposed for prescribed performance function(PPF)and the second step is transforming the scalar error into performance error by the proposed PPF,which guarantees the scalar error converges to a prescribed bound to improve the control ***,Lambert W function is introduced for the Lyapunov function candidate to guarantee the closed-loop system bounded and the tracking error *** demonstrate the effectiveness of the proposed approaches.

关键词： Hammerstein hysteresis Lambert W function prescribed performance

Investigation of radionuclide ^(60)Co(Ⅱ) binding to TiO_2 by batch technique,surface complexation model and DFT calculations

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Science China Chemistry 2012年第9期55卷 1752-1759页

作者： ren xuemei YANG ShiTong TAN XiaoLi CHEN ChangLun WANG XiangKe Key Laboratory of Novel Thin Film Solar Cells Institute of Plasma PhysiesChinese Aeademy qf SciencesHefei 230031China

The interaction between radionuclides and solid/water interfaces is important to understand the physicochemical processes of radionuclides in the natural ***,the interaction of 60Co(Ⅱ) with TiO 2 in aqueous solution as a function of pH and ionic strength was studied by using batch technique combined with surface complexation model and density functional theory(DFT) *** batch experimental results showed that the adsorption of 60Co(Ⅱ) was dependent on pH and independent of ionic strength,indicating the formation of inner-sphere surface complexes on TiO 2 *** results of surface complexation models and DFT calculations indicated that the surface species of 60Co(Ⅱ) adsorbed on TiO 2 followed the trend:B structure(i.e.,60Co(Ⅱ) was linked to one bridge oxygen site) was the dominant surface species at low pH,and TT structure(i.e.,60Co(Ⅱ) was linked to two terminal oxygen sites) became the important surface complex at neutral and alkaline pH *** results demonstrated that a multi-technique approach could lead to definitive information on the structures of adsorbed 60Co(Ⅱ) at the molecular level at the TiO 2 /water interfaces,as well as realistic models to rationalize and accurately evaluate the macroscopic manifestations of radionuclide adsorption phenomena.

关键词： radionuclide ^60Co(Ⅱ) TiO2 interaction surface complexation model DFT calculations

Identification and control of Sandwich system with backlash 36

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Identification and control of Sandwich system with backlash

第36届中国控制会议

作者： Linwei Li xuemei ren Minlin Wang Yongfeng Lv School of Automation Beijing Institute of Technology

ISBN: (纸本)9781538629185

The identification and control of Sandwich systems are surveyed for the systems which involve backlash nonlinearity. The focus is made on the way of constructing the identification model and the convergence rate of the identification algorithm. Based on a parameterization of backlash, the Sandwich system with backlash is constructed as a regression model in which the backlash parameter and linear subsystems parameters are separated by using the key-term separation principle. In order to improve the convergence rate, a multi-innovation least squares algorithm is applied to identify the parameter of the regression equation by modifying the scalar single innovation as multi-innovation matrix. Finally, a traditional PID controller achieves a reference signal tracking based on the result of the parameter estimation.

关键词： Multi-innovation identification PID Sandwich system Backlash the key-term separation principle

Kalman Filter Based Fault Detection of Dual Motor Systems 36

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Kalman Filter Based Fault Detection of Dual Motor Systems

第36届中国控制会议

作者： GUO Fumin ren xuemei LI Zhijun HAN Cunwu Beijing Institute of Technology North China University of Technology

ISBN: (纸本)9781538629185

Fault detection of a class of dual motor systems is discussed in this paper.A linear dual motor systems with sensor faults and actuator faults as well as random noise are modeled,and a kalman filter based fault detection scheme is *** the designed fault detection scheme,a kalman filter based residual generator is constructed to generate the residual signal,and then an evaluation function is used to provide the fault decision,also a threshold is designed to detect the occurrence of ***,a simulation example is given to show the applicability and effectiveness of the proposed fault detection approach.

关键词： Kalman Filter Fault Detection Dual Motor Systems

Adaptive Optimal Integral Sliding Mode Control for a Dual-motor Driving Servo System 36

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Adaptive Optimal Integral Sliding Mode Control for a Dual-mo...

第36届中国控制会议

作者： Minlin Wang xuemei ren Linwei Li Qiang Chen School of Automation Beijing Institute of Technology College of Information Engineering Zhejiang University of Technology

ISBN: (纸本)9781538629185

In this paper, an adaptive optimal integral sliding mode controller is presented to realize the load position tracking for a multi-motor driving servo system（MDSS）. By reformulating the MDSS in a strict feedback form, a neural network state observer is designed to estimate both immeasurable states and unknown nonlinearities. Based on this state observer, two adaptive optimal integral sliding mode controllers are developed and integrated into one tracking controller through the backstepping *** proposed controllers can not only guarantee a satisfactory load tracking performance but also increase the robustness to system uncertainties. By using the Lyapunov stability theorem, it is certified that all signals of the MDSS are uniformly ultimately bounded. Simulation results on a four-motor driving servo system are conducted to validate the efficiency of the proposed control scheme.

关键词： Multi-motor driving servo system neural network state observer integral sliding mode control optimal control

Observer-Based Adaptive Integral Control for Multi-motor Drive Systems

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Observer-Based Adaptive Integral Control for Multi-motor Dri...

第三十九届中国控制会议

作者： Shuangyi Hu xuemei ren School of Automation Beijing Institute of Technology

This paper deals with the problem of unknown system state and the effect of steady-state error for multi-motor drive systems. Due to the existence of unknown nonlinearity, a robust observer with neural network is proposed to estimate the system state. To improve the steady-state performance, the integrator is introduced in the controller design to eliminate the steady-state error and get rid of the vibration. Based on mean relative coupling structure and dynamic surface control, a synchronization control method and tracking control scheme are proposed with integrator. The effectiveness of designed control methods is illustrated by simulation results.

关键词： Robust observer synchronization control integrator neural network multi-motor drive system