A Study on the Position and Velocity Control of AC Servo System Using Discrete Sliding Mode Predictive Algorithm

2010 ◽  
Vol 29-32 ◽  
pp. 2018-2024
Author(s):  
Hong Ke Li ◽  
Li Zhong Song ◽  
Huai Shu Li ◽  
Lin Shu Huang ◽  
Yang Yin
Keyword(s):  
Sliding Mode ◽  
Servo Control ◽  
Reference Trajectory ◽  
Velocity Control ◽  
Servo Systems ◽  
Ac Servo System ◽  
Predictive Algorithm ◽  
Ac Servo ◽  
Control Scheme ◽  
Predictive Controller

The sliding mode predictive controller based on an improved sliding mode reference trajectory is proposed for AC servo systems. On the basis of analysis of servo control systems, the position and velocity control strategy using the sliding mode predictive algorithm is developed. Combining the merits of the sliding mode and predictive control, the algorithm can improve the robustness and eliminate the chattering phenomenon. Moreover, according to the velocity profile during positioning, the sliding mode reference trajectory is designed in accordance with corresponding state motion curves to guarantee the desired dynamic characteristics. Finally, the application experiment is implemented and results demonstrate the feasibility and effectiveness of the proposed control scheme.

scholarly journals Super-Twisting Algorithm Applied to Velocity Control of DC Motor without Mechanical Sensors Dependence

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6041
Author(s):  
Fredy A. Valenzuela ◽  
Reymundo Ramírez ◽  
Fermín Martínez ◽  
Onofre A. Morfín ◽  
Carlos E. Castañeda
Keyword(s):  
Controller Design ◽  
Sliding Mode ◽  
Dc Motor ◽  
Experimental Results ◽  
Resistive Load ◽  
Velocity Control ◽  
Velocity Sensor ◽  
Control Scheme ◽  
Mechanical Sensors ◽  
Twisting Algorithm

A DC motor velocity control in feedback systems usually requires a velocity sensor, which increases the controller cost. Additionally, the velocity sensor used in industrial applications presents several disadvantages such as maintenance requirements and signal conditioning. In this work, we propose a robust velocity control scheme applied to a DC motor based on estimation strategies using a sliding-mode observer. This means that measurements with mechanical sensors are not required in the controller design. The proposed observer estimates the rotational velocity and load torque of the motor. The controller design applies the exact-linearization technique combined with the super-twisting algorithm to achieve robust performance in the closed-loop system. The controller validation was carried out by experimental tests using a workbench, which is composed of a control and data acquisition Digital Signal Proccessor board, a DC-DC electronic converter, an interface board for signals conditioning, and a DC electric generator connected to an adjustable resistive load. The simulation and experimental results show a significant performance of the proposed control scheme. During tests, the accuracy, robustness, and speed response on the controller were evaluated and the experimental results were compared with a classic proportional-integral controller, which uses a conventional encoder.

Adaptive sliding mode control for AC servo system based on Kalman filter

2014 ◽  
Vol 22 (8) ◽  
pp. 2088-2095 ◽  
Author(s):  
邓永停 DENG Yong-ting ◽  
李洪文 LI Hong-wen ◽  
王建立 WANG Jian-li ◽  
贾建禄 JIA Jian-lu
Keyword(s):  
Kalman Filter ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Servo System ◽  
Adaptive Sliding Mode Control ◽  
Ac Servo System ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Ac Servo

Adaptive Sliding Mode Impedance Control of Single-Link Flexible Manipulators interacting with the Environment at an Unknown Intermediate Point

Robotica ◽  
2019 ◽  
Vol 38 (9) ◽  
pp. 1642-1664 ◽  
Author(s):  
Ali Fayazi ◽  
Naser Pariz ◽  
Ali Karimpour ◽  
V. Feliu-Batlle ◽  
S. Hassan HosseinNia
Keyword(s):  
Position Control ◽  
Sliding Mode ◽  
Impedance Control ◽  
Detection Algorithm ◽  
Reference Trajectory ◽  
Constrained Motion ◽  
Intermediate Point ◽  
Control Scheme ◽  
Single Link ◽  
Motion Mode

SUMMARYThis paper proposes an adaptive robust impedance control for a single-link flexible arm when it encounters an environment at an unknown intermediate point. First, the intermediate collision point is estimated using a collision detection algorithm. The controller, then, switches from free to constrained motion mode. In the unconstrained motion mode, the exerted force to environment is nearly zero. Thus, the reference trajectory is a prescribed desired trajectory in position control. In the constrained motion mode, the reference trajectory is determined by the desired target dynamic impedance. The simulation results demonstrate the efficiency of proposed control scheme.

scholarly journals Robust position-based impedance control of lightweight single-link flexible robots interacting with the unknown environment via a fractional-order sliding mode controller

Robotica ◽  
2018 ◽  
Vol 36 (12) ◽  
pp. 1920-1942 ◽  
Author(s):  
Ali Fayazi ◽  
Naser Pariz ◽  
Ali Karimpour ◽  
Seyed Hassan Hosseinnia
Keyword(s):  
Fractional Order ◽  
Position Control ◽  
Sliding Mode ◽  
Impedance Control ◽  
Lyapunov Theory ◽  
Reference Trajectory ◽  
Constrained Motion ◽  
Unknown Environment ◽  
Control Scheme ◽  
Single Link

SUMMARYThis paper presents a fractional-order sliding mode control scheme equipped with a disturbance observer for robust impedance control of a single-link flexible robot arm when it comes into contact with an unknown environment. In this research, the impedance control problem is studied for both unconstrained and constrained maneuvers. The proposed control strategy is robust with respect to the changes of the environment parameters (such as stiffness and damping coefficient), the unknown Coulomb friction disturbances, payload, and viscous friction variations. The proposed control scheme is also valid for both unconstrained and constrained motions. Our novel approach automatically switches from the free to the constrained motion mode using a simple algorithm of contact detection. In this regard, an impedance control scheme is proposed with the inner loop position control. This means that in the free motion, the applied force to the environment is zero and the reference trajectory for the inner loop position control is the desired trajectory. However, in the constrained motion the reference trajectory for the inner loop is determined by the desired impedance dynamics. Stability of the closed loop control system is proved by Lyapunov theory. Several numerical simulations are carried out to indicate the capability and the effectiveness of the proposed control scheme.

Design of Fuzzy Controllers in AC Servo System

2013 ◽  
Vol 668 ◽  
pp. 401-405
Author(s):  
Jian Hong Zhou ◽  
Yan Du ◽  
Zheng Weng
Keyword(s):  
Permanent Magnet ◽  
Pid Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Servo Control ◽  
Current Loop ◽  
Ac Servo System ◽  
Ac Servo ◽  
Servo Control System ◽  
Object Of Control

This paper introduces an ac servo control system that uses permanent magnet synchronous motor (PMSM) as object of control. It combines the feature of permanent magnet synchronous motor and servo-control, and designs the fuzzy self-adaptive of PID controller to achieve control of the position loop, speed loop and current loop. The simulation results of Matlab7.9 show that the controller has an excellent controlling effect.

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