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Vibration suppression of speed-controlled robots with nonlinear control

Paolo BOSCARIOL,Alessandro GASPARETTO

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 2, Pages 204-212 doi: 10.1007/s11465-016-0380-3

Abstract:

In this paper, a simple nonlinear control strategy for the simultaneous position tracking and vibrationThe control is developed for devices actuated by speed-controlled servo drives.The control is aimed to be compatible with most industrial applications given the simplicity of implementation

Keywords： industrial robot nonlinear control vibration damping model-free control motion control

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Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings Article

Ye YUAN, Yu-kun SUN, Qian-wen XIANG, Yong-hong HUANG, Zhi-ying ZHU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12, Pages 2035-2045 doi: 10.1631/FITEE.1700324

Abstract: The effectiveness of control deteriorates based on an inaccurate mathematical model, creating slow responseTo solve these problems, a model-free adaptive control (MFAC) scheme is proposed for a three-degree-of-freedomhybrid magnetic bearing (3-DoF HMB) control system.it does not involve any model information.The design process of a parameter estimation algorithm is model-free, based directly on pseudo-partial-derivative

Keywords： Model-free adaptive control Hybrid magnetic bearings Nonlinear areas Faster response Higher stability

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Development of gradient boosting-assisted machine learning data-driven model for free chlorine residual

Frontiers of Environmental Science & Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11783-024-1777-6

Abstract:

● A machine learning approach was applied to predict free chlorine

Keywords： Machine learning Data-driven modeling Drinking water treatment Disinfection Chlorination

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Design and modeling of a free-piston engine generator

Frontiers in Energy doi: 10.1007/s11708-022-0848-2

Abstract: Free-piston engine generators (FPEGs) can be applied as decarbonized range extenders for electric vehiclesIn this paper, a parameter-decoupling approach is proposed to model the design of an FPEG.A finite element model with a multi-objective genetic algorithm was adopted for its design.The finite element model results were fed back to the numerical model to update the LPMSM with increasedThe model provides a solid foundation for the manufacturing of related FPEG prototypes.

Keywords： free-piston engine generator linear permanent magnet synchronous machine system design numerical model

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An experimental study of a single-piston free piston linear generator

Jin XIAO, Yingdong CHENG, Jinlong WANG, Chengwei ZHU, Zhen HUANG

Frontiers in Energy 2022, Volume 16, Issue 6, Pages 916-930 doi: 10.1007/s11708-022-0838-4

Abstract: Free piston linear generator (FPLG) is a promising range extender for the electrical vehicle with unparallelHowever, due to the lack of the mechanic crankshaft, the related piston motion control is a challengeIn this paper, the development process and experimental validation of the related control strategiesAfterward, optimal control parameters, in terms of scavenging pressure, air-fuel equivalence ratio, and

Keywords： free piston linear generator (FPLG) charged scavenging engine control misfire stable operation

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An assessment of China-Japan-Korea Free Trade Agreement’s economic and environmental impacts on China

Zhaoyang LIU, Xianqiang MAO, Wei TANG, Tao HU, Peng SONG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6, Pages 849-859 doi: 10.1007/s11783-012-0432-9

Abstract: and the Republic of Korea (Korea) are conducting a government-commissioned feasibility study on the FreeTrade Agreement among the three countries (CJKFTA) to form a regional free trade zone in East Asia.Estimating the variations is based on a static Computable General Equilibrium model, working with Global

Keywords： Free Trade Agreement Strategic Environmental Assessment Chain Reaction Assessment Method Computable GeneralEquilibrium model Global Trade Analysis Project

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Extended model predictive control scheme for smooth path following of autonomous vehicles

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1, Pages 4-4 doi: 10.1007/s11465-021-0660-4

Abstract: This paper presents an extended model predictive control (MPC) scheme for implementing optimal path followingof autonomous vehicles, which has multiple constraints and an integrated model of vehicle and road dynamicsRoad curvature and inclination factors are used in the construction of the vehicle dynamic model to describe

Keywords： autonomous vehicles vehicle dynamic modeling model predictive control path following optimization

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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: Advanced model-based control strategies, e.g., model predictive control, can offer superior control ofThe quality of the system model is critical to controller performance and should adequately describepredictive control.This demonstration of how such system models could be identified for nonlinear model predictive controlcontrol over wider operating ranges.

Keywords： nonlinear model predictive control black-box modeling continuous-time system identification machinelearning industrial applications of process control

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Full-band error control and crack-free surface fabrication techniques for ultra-precision fly cutting

F. H. ZHANG, S. F. WANG, C. H. AN, J. WANG, Q. XU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 2, Pages 193-202 doi: 10.1007/s11465-017-0448-8

Abstract:

Large-aperture potassium dihydrogen phosphate (KDP) crystals are widely used in the laser path of inertial confinement fusion (ICF) systems. The most common method of manufacturing half-meter KDP crystals is ultra-precision fly cutting. When processing KDP crystals by ultra-precision fly cutting, the dynamic characteristics of the fly cutting machine and fluctuations in the fly cutting environment are translated into surface errors at different spatial frequency bands. These machining errors should be suppressed effectively to guarantee that KDP crystals meet the full-band machining accuracy specified in the evaluation index. In this study, the anisotropic machinability of KDP crystals and the causes of typical surface errors in ultra-precision fly cutting of the material are investigated. The structures of the fly cutting machine and existing processing parameters are optimized to improve the machined surface quality. The findings are theoretically and practically important in the development of high-energy laser systems in China.

Keywords： ultra-precision fly cutting large-aperture KDP crystals spatial frequency processing error

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3, Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract: methods include predicate logic, semantic network, computer programming language, database, mathematical modelintrinsic link between various knowledge representation methods, a unified knowledge representation modelAccording to ontology, system theory, and control theory, a standard model of knowledge representationThe model is composed of input, processing, and output.In addition, the standard model of knowledge representation provides a way to solve problems of non-precision

Keywords： knowledge representation standard model ontology system theory control theory multidimensional representation

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A model reference adaptive control based method for actuator delay estimation in real-time testing

Cheng CHEN, James M. RICLES

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3, Pages 277-286 doi: 10.1007/s11709-010-0072-8

Abstract: The advances in compensation methods based on adaptive control theory enable researchers to accommodatevariable actuator delay and achieve good actuator control for real-time tests.This paper presents a model reference adaptive control based method to identify the parameter of a simplifieddiscrete model for servo-hydraulic dynamics and the resulting compensation method.

Keywords： real-time testing actuator delay compensation adaptive control MIT rule discrete transfer function

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Cell-free systems in the new age of synthetic biology

Fernando Villarreal,Cheemeng Tan

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 1, Pages 58-65 doi: 10.1007/s11705-017-1610-x

Abstract: The advent of synthetic biology has ushered in new applications of cell-free transcription-translationThese cell-free systems are reconstituted using cellular proteins, and are amenable to modular controlHere, we discuss the historical advancement of cell-free systems, as well as their new applications inFinally, we present our vision on the future direction of cell-free synthetic biology.

Keywords： cell-free system application

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Model-based nonlinear control of hydraulic servo systems: Challenges, developments and perspectives

Jianyong YAO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2, Pages 179-210 doi: 10.1007/s11465-018-0464-3

Abstract: >Hydraulic servo system plays a significant role in industries, and usually acts as a core point in controlAlthough linear theory-based control methods have been well established, advanced controller design methodsEssential nonlinearity is a unique feature and makes model-based nonlinear control more attractive, dueIn this paper, a discussion for challenges in model-based nonlinear control, latest developments andto handle various challenges, nonlinear solutions including parameter adaptation, nonlinear robust control

Keywords： hydraulic servo system adaptive control robust control nonlinear friction disturbance compensation repetitivecontrol noise alleviation constraint control

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Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2, Pages 168-174 doi: 10.1007/s11465-007-0028-4

Abstract: To precisely implement the force control of robot manipulators in an unknown environment, a control strategybased on fuzzy prediction of the reference trajectory in the impedance model is developed.The force tracking experiments are executed in an open-architecture control system with different trackingThe corresponding force control results are compared and analyzed.The experimental results show that the desired trajectory in the impedance model is predicted exactly

Keywords： predictive tracking corresponding stiffness algorithm

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Multi-Objective Adaptive Optimization Model Predictive Control: Decreasing Carbon Emissions from a Zinc Article

Ke Wei, Keke Huang, Chunhua Yang, Weihua Gui

Engineering 2023, Volume 27, Issue 8, Pages 96-105 doi: 10.1016/j.eng.2023.01.017

Abstract: is no longer suitable for multi-objective control tasks.To address these issues, this paper proposes a multi-objective adaptive optimization model predictiveMore specifically, with a large amount of data collected from a CFD model, a sparse regression problemis first formulated and solved to obtain a reduction model.Then, a two-layered control framework including real-time optimization (RTO) and model predictive control

Keywords： Zinc oxide rotary kiln Model reduction Sparse identification Real-time optimization Model predictivecontrol Process control

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Title Author Date Type Operation

Vibration suppression of speed-controlled robots with nonlinear control

Paolo BOSCARIOL,Alessandro GASPARETTO

Journal Article

Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings

Ye YUAN, Yu-kun SUN, Qian-wen XIANG, Yong-hong HUANG, Zhi-ying ZHU

Journal Article

Development of gradient boosting-assisted machine learning data-driven model for free chlorine residual

Journal Article

Design and modeling of a free-piston engine generator

Journal Article

An experimental study of a single-piston free piston linear generator

Jin XIAO, Yingdong CHENG, Jinlong WANG, Chengwei ZHU, Zhen HUANG

Journal Article

An assessment of China-Japan-Korea Free Trade Agreement’s economic and environmental impacts on China

Zhaoyang LIU, Xianqiang MAO, Wei TANG, Tao HU, Peng SONG

Journal Article

Extended model predictive control scheme for smooth path following of autonomous vehicles

Journal Article

An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Journal Article

Full-band error control and crack-free surface fabrication techniques for ultra-precision fly cutting

F. H. ZHANG, S. F. WANG, C. H. AN, J. WANG, Q. XU

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

A model reference adaptive control based method for actuator delay estimation in real-time testing

Cheng CHEN, James M. RICLES

Journal Article

Cell-free systems in the new age of synthetic biology

Fernando Villarreal,Cheemeng Tan