Robust stability for a class of sampled-data systems whose underlying continuous-time systems were subjected to additive structured perturbations was considered. The proposed upper bounds of the induced perturbations ...Robust stability for a class of sampled-data systems whose underlying continuous-time systems were subjected to additive structured perturbations was considered. The proposed upper bounds of the induced perturbations in discrete-time model were similar to those obtained in reference. A stable digital optimal state feedback controller whose design was based on the solution of Riccati equation was given. By considering stability based on the second method of Lyapunov, the robust stability bounds for discrete-time model was obtained. Combining the above findings, one sufficient condition of robust stability and a new region of robust stability on the underlying continuous-time system were obtained. Example was given to illustrate the proposed results. It was shown that the sampling period was a crucial design parameter.展开更多
The impulsive motion of a dynamically stabilized robot—Gyrover, which is a single-wheel gyroscopically stabilized robot is studied. A method based on the D’Alembert-Lagrange principle is proposed to develop the impu...The impulsive motion of a dynamically stabilized robot—Gyrover, which is a single-wheel gyroscopically stabilized robot is studied. A method based on the D’Alembert-Lagrange principle is proposed to develop the impulsive dynamic model of the single wheel robot. This method that can be used to find ways to investigate a single wheel mobile robot rolling on a rough terrain is tested using the experimental platform Gyrover. The conditions of falling over without actuators are addressed. Simulations that validate the analysis are provided as well.展开更多
This paper presents a sliding mode observer for sensorless operation of SRM (switched reluctance motor) drive. Design of such an observer depends mainly on the nonlinear model of SRM. In this technique, neither extr...This paper presents a sliding mode observer for sensorless operation of SRM (switched reluctance motor) drive. Design of such an observer depends mainly on the nonlinear model of SRM. In this technique, neither extra hardware nor huge memory space are not required but it only requires active phase measurements. Furthermore, PI (proportional integral) and adaptive FLPI (fuzzy logic PI) controllers are suggested to operate individually along with the SMO (sliding mode observer) to cover a full speed range of sensorless controller. Both controller schemes operate in PWM (pulse width modulation) control mode. The proposed observer is implemented and tested using a digital signal processor. All results obtained with both simulation and experimental investigations corroborate the superior performance of the adaptive fuzzy logic controller (FLPI) when compared with those of PI controller.展开更多
基金Sponsored by the Special Research Foundation for the Doctor's Speciality of University(Grant No.20060214004) and the Key Scientific Research Founda-tion of Education Ministry(Grant No.206041) and the Key Scientific Research Foundation of Harbin Science Bureau(Grant No.2005AA1CG037).
文摘Robust stability for a class of sampled-data systems whose underlying continuous-time systems were subjected to additive structured perturbations was considered. The proposed upper bounds of the induced perturbations in discrete-time model were similar to those obtained in reference. A stable digital optimal state feedback controller whose design was based on the solution of Riccati equation was given. By considering stability based on the second method of Lyapunov, the robust stability bounds for discrete-time model was obtained. Combining the above findings, one sufficient condition of robust stability and a new region of robust stability on the underlying continuous-time system were obtained. Example was given to illustrate the proposed results. It was shown that the sampling period was a crucial design parameter.
基金supported by the Knowledge Innovation Program of the Chinese Academy of Sciences ( No. KGCX2-YW-152 No. KGCX2-YW-156)+2 种基金Key Laboratory of Robotics and Intelligent System,Guangdong Province( No. 2009A060800016) Shenzhen Fundamental Research Program( No. JC200903170431A)China Postdoctoral Science Foundation( No. 20090460532)
文摘The impulsive motion of a dynamically stabilized robot—Gyrover, which is a single-wheel gyroscopically stabilized robot is studied. A method based on the D’Alembert-Lagrange principle is proposed to develop the impulsive dynamic model of the single wheel robot. This method that can be used to find ways to investigate a single wheel mobile robot rolling on a rough terrain is tested using the experimental platform Gyrover. The conditions of falling over without actuators are addressed. Simulations that validate the analysis are provided as well.
文摘This paper presents a sliding mode observer for sensorless operation of SRM (switched reluctance motor) drive. Design of such an observer depends mainly on the nonlinear model of SRM. In this technique, neither extra hardware nor huge memory space are not required but it only requires active phase measurements. Furthermore, PI (proportional integral) and adaptive FLPI (fuzzy logic PI) controllers are suggested to operate individually along with the SMO (sliding mode observer) to cover a full speed range of sensorless controller. Both controller schemes operate in PWM (pulse width modulation) control mode. The proposed observer is implemented and tested using a digital signal processor. All results obtained with both simulation and experimental investigations corroborate the superior performance of the adaptive fuzzy logic controller (FLPI) when compared with those of PI controller.