Nowadays the pneumatic actuators are widely used. This is because of their low cost, ease of maintenance and high medium power to weight ratio. A position model has been proposed by using system identification techniques resulted in a transfer function model. One of the commonly control algorithms that used in the pneumatic actuators area is Generalized Minimum Variance (GMV) controller. The performance of an algorithm is obtained by combining a generalized minimum variance control with a recursive estimator for the controller parameter. In this, for ensuring the system output response can track any changes in the reference set point, an indirect self-tuning GMV control is used. The project aims to design a generalized minimum variance controller to control of the pneumatic system. The controller will be designed using MATLAB/SIMULINK based on the proposed model. The simulation results will be compared with the other types of controller (PID) to observe the performance of the GMV controller.
Generalized Minimum Variance Controller Design for Pneumatic Systems
15.10.2017
Journal of Telecommunication, Electronic and Computer Engineering (JTEC); Vol 9, No 3-2: EMPOWERING SCIENCE, ENGINEERING AND TECHNOLOGY TOWARDS GLOBAL MANUFACTURING SUSTAINABILITY; 53-57 ; 2289-8131 ; 2180-1843
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| DDC: | 629 |
A Design of Generalized Minimum Variance Controllers for Nonlinear Systems
| British Library Conference Proceedings | 2000
New Feed-Forward/Feedback Generalized Minimum Variance Self-tuning Pole-placement Controller
| BASE | 2009
Self-Tuning Generalized Minimum Variance Control Based on On-Demand Type Feedback Controller
| British Library Online Contents | 2016
Two-Degree-of-Freedom Generalized Minimum Variance Control
| British Library Online Contents | 1998
Design of Generalized Minimum Variance Control for Ship's Time Varying Steering Performance
| British Library Online Contents | 2014