Force control of an uncertain series elastic actuator system via a fuzzy sliding mode controller and a nonlinear state estimator

2019 ◽  
Vol 234 (4) ◽  
pp. 462-471
Author(s):  
Seyed Ali Moafi ◽  
Farid Najafi
Keyword(s):  
Sliding Mode ◽  
Sliding Mode Controller ◽  
State Estimator ◽  
Series Elastic Actuator ◽  
Control Scheme ◽  
Chattering Free ◽  
Fuzzy Sliding Mode ◽  
Theory Of Lyapunov Stability ◽  
Nonlinear State ◽  
Series Elastic

Nowadays, series elastic actuators play an important role in actuation technology, especially for mechatronics and robotic applications. In this article, the accurate tracking of output force for a series elastic actuator is investigated. In order to achieve this aim, a novel robust control scheme is developed to overcome friction effects, backlash in the drivetrain, measurement noises (sensor inaccuracy) and uncertainties in the dynamic model. The control scheme consists of a fuzzy sliding mode controller and a nonlinear state estimator. The theory of Lyapunov stability is used for the formulation of the proposed controller and also the fuzzy logic strategy is used for tuning the sliding surface parameter in order to achieve accurate and chattering-free performance. Furthermore, a powerful estimator algorithm, unscented H-infinity filter, is added to the control scheme to improve the robustness of the system. Simulation results, as well as experimental analysis, approved the efficiency of the proposed approach in the presence of uncertainties and disturbances.

Fast Terminal Fuzzy Sliding Mode Control for Attitude of Flapping Wing Micro Aerial Vehicle

2013 ◽  
Vol 427-429 ◽  
pp. 1179-1182
Author(s):  
Sheng Bin Hu ◽  
Jin Yuan Xu ◽  
Xuan Wu ◽  
Chi Zhang ◽  
Yi Hao He
Keyword(s):  
Sliding Mode ◽  
Flapping Wing ◽  
Sliding Mode Controller ◽  
Terminal Sliding Mode ◽  
Micro Aerial Vehicle ◽  
Fuzzy Sliding Mode Control ◽  
Control Scheme ◽  
Fast Terminal Sliding Mode ◽  
Aerial Vehicle ◽  
Fuzzy Sliding Mode

A fast terminal fuzzy sliding mode control scheme for the attitude of flapping wing micro aerial vehicle is proposed in this paper. Based on the feedback linearization technique, a fast terminal sliding mode controller is designed. To diminish the chattering in the control input, a fuzzy controller is designed to adjust the generalized gain of fast terminal fuzzy sliding mode controller according to fast terminal sliding mode surface. The stability of the control algorithm is verified by using Lyapunov theory. Simulation results show that the proposed control scheme is effective.

Fuzzy impedance-based control with fast terminal sliding mode force control loop for a series elastic actuator system

2021 ◽  
pp. 014233122110436
Author(s):  
Seyed Ali Moafi ◽  
Farid Najafi
Keyword(s):  
Force Control ◽  
Fuzzy Logic Controller ◽  
Sliding Mode ◽  
Control Loop ◽  
Terminal Sliding Mode ◽  
Control Approach ◽  
Series Elastic Actuator ◽  
Control Scheme ◽  
Fast Terminal Sliding Mode ◽  
Series Elastic

This paper proposes a robust control scheme to accomplish the interaction control problem between a series elastic actuator (SEA) and a flexible environment. The adaptability of the controller to unknown variations and robustness of the controller during interaction of the system with environment are the main aims. The control scheme is based on a fuzzy impedance control approach and consists of an inner fast terminal sliding mode force control loop. An experimental setup is designed to prove the efficiency of the developed controller. The experimental results confirm that the proposed fuzzy logic controller guarantees the sensitivity of the controlled system to unpredictable variations. Moreover, by applying the fast terminal sliding mode algorithm for the inner force control loop, the system has faster convergence to the reference path compared with similar control methods found in the literature.

Backstepping Fuzzy Sliding Mode Control for a Three-Links Spatial Robot Based on Variable Rate Reaching Law

2011 ◽  
Vol 105-107 ◽  
pp. 2213-2216 ◽  
Author(s):  
Sheng Bin Hu ◽  
Min Xun Lu
Keyword(s):  
Sliding Mode Control ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Variable Rate ◽  
Reaching Law ◽  
Mode Control ◽  
Adjustment Time ◽  
Control Scheme ◽  
Fuzzy Sliding Mode

To achieve the tracing control of a three-links spatial robot, a backstepping fuzzy sliding mode controller based on variable rate reaching law is proposed in this paper. The sliding mode controller is designed by means of backstepping way. To reduce the adjustment time, a fuzzy controller is designed to adjust the slope of sliding mode surface. To diminish the chattering of traditional sliding mode control, the variable rate reaching law is proposed. The variable rate reaching law is composed of the distance from current point to sliding mode surface in phase plane. The simulation studies for the tracking control of a three-links spatial robot have been carried out. Simulation results show the validity of the proposed control scheme.

CONTROLLING THE UNCERTAIN MULTI-SCROLL CRITICAL CHAOTIC SYSTEM WITH INPUT NONLINEAR USING SLIDING MODE CONTROL

2009 ◽  
Vol 23 (16) ◽  
pp. 2021-2034 ◽  
Author(s):  
XINGYUAN WANG ◽  
DA LIN ◽  
ZHANJIE WANG
Keyword(s):  
Chaotic System ◽  
Sliding Mode ◽  
Equilibrium Points ◽  
Dead Zone ◽  
Variable Structure ◽  
Sliding Mode Controller ◽  
Global Stabilization ◽  
Structure Control ◽  
Control Scheme ◽  
Simulation Results

In this paper, control of the uncertain multi-scroll critical chaotic system is studied. According to variable structure control theory, we design the sliding mode controller of the uncertain multi-scroll critical chaotic system, which contains sector nonlinearity and dead zone inputs. For an arbitrarily given equilibrium point of the uncertain multi-scroll chaotic system, we achieve global stabilization for the equilibrium points. Particularly, a class of proportional integral (PI) switching surface is introduced for determining the convergence rate. Furthermore, the proposed control scheme can be extended to complex multi-scroll networks. Finally, simulation results are presented to demonstrate the effectiveness of the proposed control scheme.

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