Fuzzy Control Technology for Trajectory Tracking Problem

In this article, we comprehensively examine the application of fuzzy control technology to trajectory tracking problems and demonstrate how to construct a simulation system using Simulink. The discussion begins with an explanation of fuzzy control fundamentals and its specific implementation in trajectory tracking applications, including the design of membership functions and rule bases for error and error-rate inputs. We then detail the Simulink implementation process, covering subsystem creation for fuzzy logic controllers, signal routing configurations, and parameter tuning methodologies using Fuzzy Logic Toolbox blocks. The simulation architecture incorporates trajectory generators, plant dynamics modeling, and performance visualization components through Scope blocks and XY Graph modules. Finally, we present simulation outcomes analyzing system response characteristics such as settling time and overshoot performance, discussing their implications for real-world engineering applications. Through this technical exploration, readers will gain deeper insights into fuzzy control trajectory tracking mechanisms and acquire practical skills for Simulink-based simulation research.