نتایج جستجو برای: fuzzy sliding mode control

تعداد نتایج: 1607331  

Journal: :amirkabir international journal of modeling, identification, simulation & control 2015
v. behnamgol a. r. vali i. mohammadzaman

in this paper, a new smooth second order sliding mode control is proposed. this algorithm is a modified form of super twisting algorithm. the super twisting guarantees the asymptotic stability, but the finite time stability of proposed method is proved with introducing a new particular lyapunov function. the proposed algorithm which is able to control nonlinear systems with matched structured u...

2014
Yufeng LI Kuiwu LI Yutian PAN Kelei LI

Aimed at the problems of low control accuracy and weak robustness influenced by external disturbance, friction, load changes, modeling errors and other issues in ammunition auto-loading robot control system, a new robust adaptive fuzzy sliding mode controller based on fuzzy compensation is proposed. The control architecture employs fuzzy systems to compensate adaptively for plant uncertainties ...

2015
CHAYMAE LAOUFI AHMED ABBOU MOHAMMED AKHERRAZ

This paper presents a comparative study between various control strategies. The design of different controllers, the sliding mode controller, the self tuning fuzzy logic controller, the fuzzy logic controller and the classical PI controller are proposed. The simulations results showed the performances and limits of the different cited controllers. In fact, the sliding mode controller is charact...

2006
Daohang Sha Vladimir B. Bajić Xinzhong Li Xingmei Wang Vladimir B. Bajic

The paper presents some experimental results of a real-time implementation of discrete sliding mode control combined with a fuzzy-logic damper block. The hybrid real-time algorithm developed is aimed at applications to discrete systems. The sliding mode part of the solution is based on system input and output measurements. The algorithm combines an integral action, a nonlinear output feedback, ...

2009
Wu Wang

A nonlinear sliding mode control method is presented for single inverted pendulum position tracking control. Sliding mode control (SMC) is a special nonlinear control method which have quick response, insensitive to parameters variation and disturbance, online identification for plants are not needed, its very suitable for nonlinear system control, but in reality usage, the chattering reduction...

2015
Xiang-jian Chen Di Li Zhihong Lu

MAV (Micro Aerial Vehicle) is nonlinear plant, it is difficult to obtain stable control for MAV attitude due to uncertainties. The purpose of this paper is to propose one robust 、 stable control strategy for MAV to accommodate system uncertainties, variations, and external disturbances. In this paper, an interval type II fuzzy sliding-mode controller combined with PSO algorithm (ITIIFSMC-PSO) i...

2006
C. Y. Yen F. L. Wen S. J. Chiang

The thin-disc piezoceramic-driving ultrasonic actuator dedicated to a stepping ultrasonic motor is proposed. The mechanical hysteresis and dead-zone phenomena are automatically compensated by a closed loop servo control, i.e. Fuzzy Sliding-Mode Control (FSMC), for position tracking. The controller design of FSMC has syncretized the fuzzy reasoning and sliding mode control with robust stability ...

2015
Y. Vaghei A. Farshidianfar

Under-actuated nonlinear dynamic systems trajectory tracking, such as space robots and manipulators with structural flexibility, has recently been investigated for hierarchical sliding mode control since these systems require complex computations. However, the instability phenomena possibly occur especially for long-term operations. In this paper, a new design approach of an adaptive fuzzy hier...

2013
Bharat Bhushan

This paper presents an implementation of stable direct adaptive control on nonlinear systems using lyapunov function with fuzzy approach. Stable direct adaptive control law consists of an ideal control, and a sliding mode control. Sliding mode controller is used to ensure the stability of Lyapunov function. Stability of direct adaptive control law is tested on two nonlinear systems. Non linear ...

2000
M. Onder Efe Okyay Kaynak Bogdan M. Wilamowski

Adaptive neuro-fuzzy inference systems exhibit both the numeric power of neural networks and verbal power of fuzzy inference systems. Particularly in control applications, the prime difficulty in selecting the parameters of such systems stems from the unavailability of the desired control inputs. In this paper, a novel approach is presented for the establishment of a sliding mode in the plant u...

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