Impact of fractional order methods on optimized tilt control for rail vehicles

摘要

Advances in the use of fractional order calculus in control theory in-\udcreasingly make their way into control applications such as in the process\udindustry, electrical machines, mechatronics/robotics, albeit at a slower rate\udinto control applications in automotive and railway systems. We present\udwork on advances in high-speed rail vehicle tilt control design enabled by\uduse of fractional order methods. Analytical problems in rail tilt control still\udexist especially on simplified tilt using non-precedent sensor information\ud(rather than use of the more complex precedence (or preview) schemes).\udChallenges arise due to suspension dynamic interactions (due to strong\udcoupling between roll and lateral dynamic modes) and the sensor measure-\udment. We explore optimized PID-based non-precedent tilt control via both\uddirect fractional-order PID design and via fractional-order based loop shap-\uding that reduces effect of lags in the design model. The impact of fractional\udorder design methods on tilt performance (track curve following vs ride\udquality) trade off is particularly emphasized. Simulation results illustrate\udsuperior benefit by utilizing fractional order-based tilt control design.