When a tracked vehicle travels over complex terrain, intense vibrations can cause the driver’s line of sight to deviate from the periscope, leading to fatigue and an inability to grasp the battlefield situation. To address this, a “tracked vehicle-seat-driver” dynamic model was established in MATLAB/Simulink, starting with human vibration response, and validated through a half-vehicle test. The driver’s observation efficiency and ride comfort were analyzed under different speeds and road conditions. A preliminary design plan was determined through single-factor analysis of the seat suspension parameters. The optimization objectives were to minimize the root mean square (RMS) values of relative displacement between the driver’s head and the vehicle body, as well as the RMS of acceleration at the driver’s seating position. Finally, the NSGA-II genetic algorithm was used to optimize the seat suspension parameters for the best observation efficiency and ride comfort. The results show that compared to the pre-optimization state, the RMS of relative displacement and RMS of seat acceleration were reduced by 42.62% and 14.39%, respectively, while the probability of the driver’s aiming deviation being <20 mm exceeded 99%, which can improve the aiming efficiency and ride comfort.
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