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Robust Stabilization of Plants with both Parameter Perturbation and Unstructured Uncertainty
Tielong Shen,Katsutoshi Tamura 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
In this paper a robust stabilization problem is discussed for plant with both time-varying parameter perturbations and unstructured uncertainty. It is shown that, a robust L₂-stabilizing controller can be obtained by solving an H∞ standard problem with a scaling parameter. Using an H∞ design method, a robust L₂-stabilizing controller is drived. Finally, a numerical example is given.
Neural-Network-Based Vehicle Torque Demand Forecasting
Xun Shen,Tielong Shen 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
A multiple-step vehicle torque demand forecasting problem is investigated in this paper. Neural network method is applied to forecast toque demand in the future five steps based on the measurements of vehicle speed and torque demand in the past three steps. Neural networks for forecasting are trained based on history drive cycles’ data and used to do multiple-step forecasting in another drive cycle to verify the performance. Results of the application have shown that the desired goal has been successfully achieved.
Po Li,Tielong Shen,Kaipei Liu,Junichi Kako,Shozo Yoshida 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
This paper presents a torque balancing control method for multi-cylinder SI engines. The deviation in average torque generation of sections with equal crank angle interval in ignition event scale is introduced as the index for balancing. Moreover, based on crank shaft dynamics in crank angle domain, an estimation method for this index from engine speed measurement is developed to avoid torque measurement. According to analysis in coupling characteristic in torque generation between cylinders, a 2nd order ARMA model is established for the dynamics from spark ignition to the index. Then model predictive control technique is used in regulation. Finally, the proposed model, estimation method and controller are validated by simulation where the engine model is provided by SICE benchmark problem.
Feedback Stabilization of a Class of Time-delay Systems with Discontinuity
Jiangyan Zhang,Tielong Shen 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
In this paper, a feedback stabilization approach is proposed for a class of time-delay systems with discontinuity based on functional differential inclusions. By extending the differential inclusion in the sense of Filippov to functional differential inclusion, a notion of the solution for time-delay systems with discontinuity is presented that is defined satisfying the proposed Filippov set-valued functional. With this notion, it is shown that both the Lyapunov-Krasovskii stability theorem and the LaSalle invariance principle can be easily extended to discuss the stability problem of time-delay systems with discontinuity. Based on the introduced analysis tools, it is proved that a feedback stabilization controller can be obtained for a class of nonlinear time-delay systems with discontinuity such that the closed loop system is strongly asymptotically stable. Simulation result of a numerical example is given to demonstrate the proposed control approach.
Nonlinear Observer-based Torque Control for SI Engine
Munan Hong,Tielong Shen,Minggao Ouyang 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, a nonlinear torque observer for Spark Ignition(SI) engine is proposed and a torque control method based on the observer is presented. In the observer, a torque production model is employed to give the nominal value of torque estimation. Then, using the rotational dynamice quation of the crank shaft, a nonlinear adjusting law is added to correct the nominal estimation. The proposed observer isused to realize closed loop torque control, where the torque demand is given by solving an optimal speed tracking problem. To demon strate the observer and torque controller, experimental results are shown finally.
Xiangpeng Yu,Tielong Shen,Gangyan Li,Kunihiko Hikiri 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In auto motive applications, effective and affordable acquirement of drive shaft torque value could greatly ben-efit the vehicle drive line feedback control. This paper presents a model-based to rque observer to estimate the drive shaft to rqueusing transmission output shaft angular speed and driven wheel angular speed. A detailed drive line model used for characterizing the behavior of the HEV drive line and a simplified model used for observer design will be constructd. The estimated to rque will be used for carrying out brake system feedback control in a HEV. Several simulations will be presented to demonstrate the effectiveness of the proposed observer.