Optimization of PID Control Strategy for Mars Probe Landing Process

This paper focuses on the landing process of the "Tianwen-1" Mars lander and discusses the dynamics models and PID control methods used during its atmospheric entry, parachute deceleration, and powered descent stages. By analyzing key parameters such as the lander's attitude angle and angular velocity, the paper employs a PID controller parameter tuning method based on an accelerated BP neural network, optimizing control over the landing process. Simulation results presented in the paper illustrate changes in altitude, velocity, and acceleration during the landing, effectively simulating the lander's descent onto the Martian surface. This research holds significant implications for future Mars exploration missions, enhancing the safety and precision of the landing process and providing valuable insights for similar aerospace missions.