Adaptive Backstepping Sliding Mode Control for MEMS Gyroscope

Juntao Fei,MingyuanXin,Weili Dai 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10

In this paper, an adaptive backstepping sliding mode control approach is proposed to attenuate the tracking error and control the MEMS triaxial gyroscope. An adaptive backstepping controller that can compensate the system nonlinearities is incorporated into the sliding mode control scheme in the Lyapunov framework. First, a robust backstepping control system incorporated with sliding mode control technique is designed. Then, an adaptive law is derived to estimate the upper bound value of the lumped uncertainty in the backstepping sliding mode control. With the adaptive backstepping sliding mode controller, the chattering in control efforts can be obviously reduced. Numerical simu lation is provided to verify the effectiveness of the proposed scheme.

Indirect Adaptive Fuzzy Control for Active Power Filter Using Global Sliding Mode Control

Shixi Hou,Juntao Fei,Yundi Chu,Chen Chen 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10

In this paper, an indirect adaptive fuzzy global sliding mode control methods (AFGSMC) are proposed for single-phase shunt active power filter as current controller. Firstly a global sliding mode control applied to current control loop is designed to guarantee the global robustness. Then a fuzzy system is used to approximate the unknown dynamics in order to eliminate the dependence on the prior knowledge, and another fuzzy system is used to replace the switching control term to reduce the chattering phenomenon. Moreover, compensation control term is designed based on the fuzzy approximation error estimation, which ensures the tracking performance of the closed loop system. Experimental results demonstrate that the proposed control methods offer a good behavior in both steady state and transient operation, reducing the THD of source current to less than 5% and improving the power quality in order to meet the recommendations of the IEEE 519 standard.

Shunt Active Power Filter Based on a Novel Sliding Mode Backstepping Control for Three-phase Three-wire System

Lihua Deng,Juntao Fei,Changchun Cai 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10

This paper presents a global fast terminal sliding mode (GFTSM) control based on backstepping design for active power filter(APF). Power system is a typical nonlinear system. Its mathematic model can be reduced order by backstepping method. Power system is decomposed into low-level subsystems until finalizing the design of the control law. The System’s stability is ensured by Lyapunov framework. The sliding mode control is added into backstepping control to expand the application scope of control. The sliding mode control doesn’t need accurate model of system. Therefore robustness of APF control is improved. Global fast terminal control is added into sliding mode control. The nonlinear term of GFTSM control makes the system converge quickly when far from equilibrium point, and the linear term do when near equilibrium point. It makes the system’s state tracking error reach zero in finite time. The control speed of system is enhanced. An experiment based on MATLAB/SIMULINK is designed to compare GFTSM backstepping control with pure backstepping control, and experimental results confirm the validity of proposed APF controller for a three-phase three-wire system.

Adaptive Control of MEMS Gyroscope Using Backstepping Approach

Yunmei Fang,Juntao Fei,Yuzheng Yang,Mingang Hua 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10

In this paper, a new adaptive control system for MEMS (Microelectromechanical systems) vibratory gyroscope sensor is presented based on the backstepping approach. First, the dynamic model of a two-axis MEMS vibratory gyroscope is established based on Lagrange-Maxwell electromechanical equations. Next, backstepping design approach is used to drive the trajectory tracking errors to converge to zero rapidly with global asymptotical stability. However, the gyroscope parameters are difficult to obtain in advance in practical applications. Therefore, adaptive laws are derived to adapt the value of the parameter estimates in real-time, and an adaptive backstepping control law is implemented. Moreover, the unknown parameters may be identified, including the ambient angular rate, if the PE (persistent excitation) condition is satisfied. Finally, simulation results demonstrate the effectiveness of the proposed control scheme in terms of guaranteed stability and excellent tracking performance in the presence of unknown parameters and disturbances.

Adaptive Neural Sliding Mode Control of Active Power Filter Using Feedback Linearization

Yunmei Fang,Zhe Wang,Juntao Fei 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10

In this paper, a radial basis function (RBF) neural network adaptive sliding mode control system based on feedback linearization approach is developed for the current compensation of three-phase active power filter(APF). RBF neural network is used to approximate the switch function of IGBT in APF combined with feedback linearization approach. The weights of RBF neural network are adjusted by means of adaptive method and the stability of the system can be guaranteed. With this method, the harmonic current of non-linear load can be eliminated and the quality of power system can be well improved. The advantages of the adaptive control, neural network control and sliding mode control are combined together to achieve the control task. Simulation results demonstrate that the control system has good control performance and can compensate harmonic current effectively.

A Wireless Power Transfer System based on Class E Amplifier

Weili Dai,Wei Tang,Yuanxiu Xiao,Juntao Fei 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10

In this paper, a wireless power system based on class E amplifier is constructed, and the mathematical model based on inductive coupling between transmitting and receiving windings are built subsequently. The values of some components for transmitter are optimized precisely according to the optimal working point of load resistance. Formulas for the optimal transmitter, receiver, and class E components are derived given a set of constraints on the load resistance, inductance values of the coupler, the phase angle and quality factor of load impedance, and drain voltage waveform. Moreover, the simulation is fulfilled to verify the method to calculate parameters. Using a separating transformer with a pot type ferrite core and a series.parallel arrangement for load impedance transformer, A wireless power transfer system based an open loop class E amplifier has been built and experimental results show that the system has desirable performance, including a power delivery of 4.2W with the distance is 10mm, and the peak efficiency of system is over 72%.

Voltage Regulation System based on ADRC for Doubly Salient Electro-magnetic Generator

Jun Ding,Weili Dai,Hao Tian,Juntao Fei 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10

A voltage regulation system based on linear active disturbance rejection control (LADRC) for doubly salient electro-magnetic generator (DSEG) was proposed in this paper. Based on mathematical model and operation principle of the generator, second-order LADRC controller was constructed to keep output dc voltage stable by adjusting exciting current and corresponding operation principle was analyzed in detail. Then, control parameters selection method has been given according to engineer design consideration. Finally, co-simulation models of voltage regulation system for DSEG using LADRC and traditional output voltage feedback plus exciting current feed-forward control were built by electromagnetic finite element analysis and transient solver of control circuit. The steady state and dynamic performance of the generator under different load show that DSEG using LADRC will acquire much better steady and dynamic response characteristic than one using traditional control.