Optimal sliding-mode control scheme for the position tracking servo system

Authors:
Jiang Jing;Ye Yingying;Fang Yanxian
Affiliations:
Automatic Control Department, Shenyang Ligong University, Shenyang, Liaoning Province, China;Automatic Control Department, Shenyang Ligong University, Shenyang, Liaoning Province, China;Electrical Engineering Department, Shenyang Ligong University, Shenyang, Liaoning Province, China
Venue:
WSEAS TRANSACTIONS on SYSTEMS
Year:
2008

Citing 3
Cited 5

A stability approach to fuzzy control design for nonlinear systems

Fuzzy Sets and Systems
Variable-Structure Control Systems: Discrete and Digital

Variable-Structure Control Systems: Discrete and Digital
Brief Fuzzy moving sliding mode control with application to robotic manipulators

Automatica (Journal of IFAC)

Industrial PC-based real-time controllers applied to second-order and first-order plus time delay processes

WSEAS TRANSACTIONS on SYSTEMS
Adaptive sliding-mode load-torque observer: its stability aspects

WSEAS TRANSACTIONS on SYSTEMS
A method for obstacle avoidance in role reassignment of robot formation control

WSEAS TRANSACTIONS on SYSTEMS
Modeling of raw material mixing process in raw meal grinding installations

WSEAS Transactions on Systems and Control
Effective optimization of the control system for the cement raw meal mixing process: I. PID tuning based on loop shaping

WSEAS Transactions on Systems and Control

Quantified Score

Hi-index	0.00

Visualization

Abstract

Systems having structural uncertainties or a known complicated structure are difficult to control. Modeling of the uncertainties or handling the deterministic complexity are typical problems frequently encountered in the field of systems and control engineering. The dynamic characteristics of such systems are usually very complex and highly nonlinear. A new design approach of an optimal sliding-mode variable structure controller with integral compensation is presented for the position tracking servo control system in this paper. The method for obtaining switching function, integral gain and control function is also given. It can achieve accurate servo tracking in the presence of the disturbance and the plant parameter variation. Simulation results show that the new control algorithm exhibits the better control performance than the classical control method, and the rapidness and robustness of the system are improved. Moreover, its realization is simple and convenient.