This study develops a sliding-mode controller based on fuzzy variable boundary layer with a control gain and boundary layer thickness as design parameters. The control gain is an important factor affecting the control performance of variable structure system (VSS). Sliding-mode controllers based on a variable boundary layer are superior to the fixed-layer method for tracking. In order to regulate the design parameters and increase operating efficiency, the proposed methodologies make use of fuzzy inference which reduces the number of fuzzy inputs. By using fuzzy algorithms in choosing a control gain and boundary layer, we propose methods which have better tracking performance than the conventional method. Finally, the results of simulation are given to demonstrate the validity of this algorithm.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence