Trajectory Control of Mars Rover Based on Fuzzy Control Theory

A variable-parameter fuzzy model for the Mars Rover is designed to account for time-varying systems and sector nonlinearities. This model addresses the limitations of the traditional T-S fuzzy model by increasing the number of fuzzy rules, which allows for a more accurate representation of the Mars Rovers dynamics. Furthermore, the model reduces complexity through linearization, making it more practical for control system design. Gain-scheduling controllers for the Mars Rover is designed based on the second-order Lyapunov stability theorem. This approach ensures that the controller provides stable and reliable performance for the Rover under varying operating conditions. We will demonstrate the effectiveness of our work by simulation, showcasing the superiority over traditional methods. This variable-parameter fuzzy model has the potential to enhance the performance and reliability of the Mars Rover in real-world applications.