Adaptive Fuzzy Robust Control of PMSM with Smooth Inverse Based Dead-zone Compensation

Xingjian Wang,Shaoping Wang 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.2

It is a challenging work to design high precision/high performance motion controller for permanentmagnet synchronous motor (PMSM) due to some difficulties, such as varying operating conditions, parametricuncertainties and external disturbances. In order to improve tracking control performance of PMSM, this paperproposes an adaptive fuzzy robust control (AFRC) algorithm with smooth inverse based dead-zone compensation. Instead of nonsmooth dead-zone inverse which would cause the possible control signal chattering phenomenon, anew smooth dead-zone inverse is proposed for non-symmetric dead-zone compensation in PMSM system. AFRCcontroller is synthesized by combining backstepping technique and small gain theorem. Discontinuous projectionbasedparameter adaptive law is used to estimate unknown system parameters. The Takagi-Sugeno fuzzy logicsystems are employed to approximate the unstructured dynamics. Robust control law ensures the robustness ofclosed loop control system. The proposed AFRC algorithm with smooth inverse based dead-zone compensationis verified on a practical PMSM control system. The comparative experimental results indicate that the smoothinverse for non-symmetric dead-zone nonlinearity can effectively avoid the chattering phenomenon which wouldbe caused by nonsmooth dead-zone inverse, and the proposed control strategy can improve the PMSM outputtracking performance.

New approach of friction identification for electro-hydraulic servo system based on evolutionary algorithm and statistical logics with experiments

Xingjian Wang,Shaoping Wang 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.5

High-precision control of an Electro-hydraulic servo system (EHSS) should fully consider practical non-linearities, such as dynamic friction, in controller design. The LuGre model is widely used to describe non-linear friction, but parameter identification for this model remains a challenging task. This study proposes a novel identification approach for the LuGre model based on the Evolutionary algorithm (EA) and statistical logics. Identification experiments are also conducted for a practical EHSS. Static parameters are identified with constant velocity experiments. Moreover, the non-symmetry of friction in positive and negative rotary directions is fully considered. Dynamic parameters are identified with the pre-sliding process in the breakaway experiment. The EA is utilized to enhance the optimal estimation of friction parameters. Statistical logics are used to predict the deviations in the estimated results with high confidence interval. Furthermore, extensive simulation and experiment results validate the effectiveness of the proposed approach.

Adaptive Robust Torque Control of Electric Load Simulator with Strong Position Coupling Disturbance

Xingjian Wang,Shaoping Wang,Bin Yao 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.2

Electric load simulator (ELS) is an important equipment to exert aerodynamic load to actuation system according to flight condition. The key issue of ELS is how to eliminate the influence of extra torque caused by actuation system, parametric uncertainties and uncertain nonlinearities. In order to overcome these difficulties, this paper proposes a powerful model-based adaptive robust torque control (ARTC) algorithm which transfers external disturbance elimination problem to a performance-oriented problem under uncertainties and nonlinearities. A discontinuous projection-based online parameter adaptation is employed to reduce the effect of various parameter uncertainties. Instead of discontinuous friction model, a continuous friction model based on smooth shape function is applied for friction compensation. The estimated velocity of actuator is utilized in ARTC controller for eliminating extra torque. The backstepping design via adaptive robust control Lyapunov function is employed to construct ARTC control law for ELS. Extensive comparative results indicate that the proposed ARTC controller is effective to achieve a guaranteed transient as well as final tracking accuracy in the presence of both parametric uncertainties and uncertain nonlinearities.

Isometric Cost-Sensitive Laplacian Eigenmaps for Imbalance Radar Target Recognition

Xingjian Xu,Yuehua Li,Jianqiao Wang 보안공학연구지원센터(IJSIP) 2014 International Journal of Signal Processing, Image Vol.7 No.4

Plate column adsorption of Pb(II) from industrial wastewater on sponge-type composite adsorbent: Optimization and application

Nana Wang,Xingjian Xu,Li Yang,Lizhu Yuan,Tangfu Xiao,Haiyan Li,Hongwen Yu 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.66 No.-

A sponge-type composite adsorbent xanthate-modified chitosan @ titanate nanotubes (XCTS@TNTs) was prepared via a simple and low-cost procedure, and its adsorption capacity was evaluated in batch and continuous plate column systems. The three-dimensional network macroporous structure made it easy to separate from the solution and suitable for the column-based treatment. The excellent adsorption capacity of Pb(II) was as high as 342.47 mg/g and could be obtained in wide ranges of pH and temperature. Interestingly, XCTS@TNTs exhibited outstanding selectivity for Pb(II) rather than other divalent heavy metal ions. Adsorption mechanism was elucidated by the FTIR and XPS analyses. The column adsorption results indicated that the treatment effect was proportional to bed height and inversely to flow rate and influent concentration. XCTS@TNTs was remarkably effective in the removal of Pb(II) from actual industrial effluents to meet the discharge requirements and contributed to the recovery of Pb(II). The treatment volumes of simulated actual battery wastewater and smelting effluent by 2.40 g XCTS@TNTs were as high as 6360 and 49584 mL for Pb(II) with the concentration of 30.55 and 4.49 mg/L, respectively. This work developed a highly practical process for removing heavy metal ions from practical wastewaters.

Non-pulsed Energy Modeling Based on Energy Consumption Subunits in Wire Electrical Discharge Machining(WEDM) Process

Jun Zheng,Xuwei Lai,Xingjian Zhou,Ankai Chen,Wang Zheng 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.5

The scientific and reasonable prediction of energy consumption in WEDM process is the key for energy-saving optimization of wire-cutting process in the design stage. The existing research about WEDM energy-saving studies mainly focus on the pulsed power control strategies. And, the research on non-pulsed energy consumption of WEDM is deficient. The non-pulsed energy consumption takes up a larger proportion in the whole WEDM process through theoretical analysis and case verification, and the energy consumption characteristics are equally representative. Therefore, the paper analyzes the energy characteristics based on non-pulsed energy consumption subunits of WEDM. A non-pulsed auxiliary energy consumption and feeding energy prediction model is established, and a WEDM machine tool is used for the experiment. The accuracy of the prediction model proposed in this paper can reach more than 96%. The raise and establishment of the model provides the basis for energy saving optimization of the subsequent wire cutting process.

A novel stress distribution analytical model of O-ring seals under different properties of materials

Di Wu,Shaoping Wang,Xingjian Wang 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.1

The elastomeric O-ring seals have been widely used as sealing elements in hydraulic systems. The sealing performance of O-ring seals is related to stress distribution. The stresses distribution depends on the squeeze rate and internal pressure, and would vary with properties of O-ring seals materials. Thus, in order to study the sealing performance of O-ring seals, it is necessary to describe the analytic relationship between stress distribution and properties of O-ring seals materials. For this purpose, a novel Stress distribution analytical model (SDAM) is proposed in this paper. The analytical model utilizes two stress complex functions to describe the stress distribution of O-ring seals. The proposed SDAM can express not only the analytical relationship between stress distribution and Young’s modulus, but also the one between stress distribution and Poisson’s ratio. Finally, compared results between finite element analysis and the SDAM validate that the proposed model can effectively reveal the stress distribution under different properties for O-ring materials.

Dislocation Density-Based Constitutive Model and Processing Map for T2 Copper During Isothermal and Time-Variant Deformation

Gang Chen,Yu Jin,Jing Wang,Cheng Zhang,Qiang Chen,Hongming Zhang,Xingjian Zhao,Zhiyong Li,Changhai Xie,Zhiming Du 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.9

Isothermal compression tests were carried out to study the hot deformation behavior of T2 copper under various conditions. The deformation parameters, such as temperature and strain rate, have strong influence on flow stress and microstructureevolution of the alloy. A unified dislocation density-based model considering dynamic recovery and recrystallization wasestablished. And material parameters of the developed model were optimized by genetic algorithm. Comparisons betweenthe experimental and model data demonstrates that the developed model can precisely describe the flow behavior at quitewide range of deformation conditions. Meanwhile, the designed iterative procedure allows the model to be applied in timevariantdeformation conditions. Processing map and microstructure examination were constructed to optimize the processingwindow of the studied alloy. According to the processing maps, flow instability mainly appeared at low temperatures of500–650 °C and strain rates higher than 0.1 s−1. The optimum deformation parameters of T2 copper was concluded as thetemperature range of 700–800 °C and the strain rate of 0.1–1 s−1.