Performance Improvement during Attitude Motion of a Vehicle Using Aerodynamic-Surface-Based Anti-Jerk Predictive...

Area of Science:

• Vehicle dynamics and control systems
• Aerospace engineering applications in automotive
• Mechatronics and intelligent transportation systems

Background:

• Vehicle ride comfort is significantly impacted by external jerks during maneuvers like turning, accelerating, and braking.
• Active aerodynamic surfaces offer a potential solution for actively controlling vehicle dynamics.
• Existing predictive control strategies may not adequately address jerk mitigation for enhanced comfort.

Purpose of the Study:

• To develop and evaluate an anti-jerk predictive controller (AJPC) utilizing active aerodynamic surfaces.
• To mitigate vehicle body jerks and improve ride quality and road holding.
• To compare the effectiveness of AJPC against a predictive control strategy without jerk mitigation.

Main Methods:

• Development of an anti-jerk predictive controller (AJPC) algorithm.
• Integration of active aerodynamic surfaces for dynamic control.
• Simulation of AJPC and a baseline predictive controller using MATLAB.
• Analysis of root-mean-square (rms) values for performance comparison.

Main Results:

• The AJPC significantly reduced the effects of vehicle body jerks transmitted to passengers.
• Ride comfort was demonstrably improved compared to the predictive control strategy without jerk.
• Vehicle handling performance was maintained without degradation.
• A trade-off was observed, with the AJPC exhibiting slower desired angle tracking.

Conclusions:

• The proposed anti-jerk predictive controller (AJPC) effectively enhances vehicle ride comfort by reducing jerk.
• Active aerodynamic surfaces, controlled by AJPC, are a viable method for mitigating disturbances.
• AJPC offers a promising approach for improving passenger experience in vehicles, balancing comfort and handling.