Open AccessAdaptive Sliding Mode Contouring Control Design Based on Reference Adjustment and Uncertainty Compensation for Feed Drive Systems
Author(s) -
Mathew Renny Msukwa,
Santos Kihwele
Publication year - 2021
Publication title -
tanzania journal of science/tanzania journal of science
Language(s) - English
Resource type - Journals
eISSN - 2507-7961
pISSN - 0856-1761
DOI - 10.4314/tjs.v47i5.23
Subject(s) - contouring , control theory (sociology) , computer science , ball screw , sliding mode control , controller (irrigation) , compensation (psychology) , matlab , machine tool , feed forward , nonlinear system , control engineering , engineering , control (management) , artificial intelligence , mechanical engineering , psychology , agronomy , physics , computer graphics (images) , quantum mechanics , nut , psychoanalysis , biology , operating system
Industrial feed drive systems, particularly, ball-screw and lead-screw feed drives are among the dominating motion components in production and manufacturing industries. They operate around the clock at high speeds for coping with the rising production demands. Adversely, high-speed motions cause mechanical vibrations, high-energy consumption, and insufficient accuracy. Although there are many control strategies in the literature, such as sliding mode and model predictive controls, further research is necessary for precision enhancement and energy saving. This study focused on design of an adaptive sliding mode contouring control based on reference adjustment and uncertainty compensation for feed drive systems. A combined reference adjustment and uncertainty compensator for precision motion of industrial feed drive systems were designed. For feasibility of the approach, simulation using matlab was conducted, and results are compared with those of an adaptive nonlinear sliding model contouring controller. The addition of uncertainty compensator showed a substantial improvement in performance by reducing the average contour error by 85.71% and the maximum contouring error by 78.64% under low speed compared to the adaptive sliding mode contouring controller with reference adjustment. Under high speed, the addition of uncertainty compensator reduced the average and absolute maximum contour errors by 4.48% and 10.13%, respectively. The experimental verification will be done in future.
Keywords: Machine tools, Feed drive systems, contouring control, Uncertainty dynamics, Sliding mode control.