The restricted intermittent control for high-speed train movement via the full state dependent event-triggered method

Area of Science:

• Control Systems Engineering
• Transportation Engineering
• Applied Mathematics

Background:

• High-speed train (HST) operation requires precise speed tracking and energy efficiency.
• Existing control strategies may not adequately address input constraints and intermittent control requirements.
• Minimizing energy consumption while maintaining accuracy is a key challenge in HST cruise control.

Purpose of the Study:

• To introduce a novel full state dependent event-triggered aperiodic intermittent control (FE-AIC) strategy for HST cruise control.
• To minimize energy consumption and enhance speed tracking accuracy in HSTs.
• To ensure the stability of tracking speed and coupler deviation under input constraints.

Main Methods:

• Development of a multi-mass-point (MMP) dynamic model for HSTs.
• Design of a restricted FE-AIC (RFE-AIC) controller considering input constraints and external disturbances.
• Analysis of control scheme stability and parameter determination conditions.
• Validation through numerical simulations.

Main Results:

• The RFE-AIC strategy effectively minimizes energy consumption and improves speed tracking accuracy.
• The proposed method ensures the stability of the HST's speed and coupler deviation.
• Numerical simulations confirm the availability and superior performance of RFE-AIC compared to existing methods.

Conclusions:

• The RFE-AIC strategy offers a robust and efficient solution for HST cruise control.
• This approach balances energy saving with high-speed tracking performance.
• The FE-AIC strategy represents a significant advancement in intelligent transportation systems control.