Adaptive Fault-Tolerant Cruise Control for a Class of High-Speed Trains with Unknown Actuator Failure and Control Input Saturation

Abstract

This paper investigates the position and velocity tracking control of a class of high-speed trains (HST) with unknown actuator failures (AF) and control input saturation (CIS). Firstly, a nonlinear dynamic model for HST at normal operating status is built. The structure of traction system in HST is analyzed and the corresponding model for HST with unknown AF is presented as well. The type of AF under consideration is that some of the plant inputs are influenced by hopping function. An adaptive model-based fault detection and diagnosis (AMFDD) module is proposed based on immersion and invariance (I&I) method to make decisions on whether a fault has occurred. A new framework to design a monotone mapping is proposed in I&I method, that is,P(x)-monotone. Using on-line obtained fault information, an adaptive law is designed to update the controller parameters to handle unknown AF and CIS in HST simultaneously when some of plant parameters are unknown. Closed-loop stability and asymptotic position and velocity tracking are ensured. Numerical simulations of China Railways High-speed 2 (CRH2) train are provided to verify the effectiveness of the presented scheme.

Optimal Operation of High-Speed Trains Using Hybrid Model Predictive Control

“…obtain LP-subproblem LP( ); (5) Π ← Π ∪ LP( ) (6) end for (7) if there are no LP( ) ∈ Π that need to be solved then (8) obtain optimal performance index * 0 ; (9) obtain optimal solution vector * ; (10) obtain optimal control input ( ) ← * ; (11) else (12) while num < Maxnum do (13) for each ∈ [ , 1] do (14) extracting LP( ) from Π; (15) if LP( ) has feasible solution then (16) obtain ( ) and ; (17) else (18) if LP( ) satisfies ( ) ∈ {0, 1} and ( ) < * 0 then (19) * 0 ← ( ) and * ← ; (20) num = num + 1;…”

“…And there have appeared various theories and technologies to realize the efficient and safety train operation, such as the passivity-based cruise control [16], the robust adaptive control [17], and the iterative learning and fault detection approaches [18,19].…”

Model‐free adaptive fault‐tolerant control for subway trains with speed and traction/braking force constraints

“…Control strategies play a vital role in maintaining high safety and reliability of subway trains, and lots of advanced control methods have been proposed for subway train control problem [1–10]. In practice, however, the controller may lose its efficiency or even completely collapse during operation due to various kinds of reasons, such as overvoltage in traction transformer, overcurrent in traction converter, overheat in asynchronous motor and so on [11, 12]. Therefore, the fault‐tolerant control scheme for subway trains should be investigated.…”

Adaptive fuzzy fault‐tolerant control for multiple high‐speed trains with proportional and integral‐based sliding mode

“…It is noted that all of these results assume that the controller always works efficiently during the operation, and the actuator faults are not taken into account. In practice, however, the controller may lose its efficiency or even completely collapse during operation due to various kinds of reasons, such as overvoltage in traction transformer, overcurrent in traction converter, and overheat in asynchronous motor and so on [8]. It is known that the actuator faults may cause the system performance deterioration or lead to instability [9–11], and thus have serious consequence on the safety of the train and the passengers.…”

“…This is the reason of the necessity to design fault‐tolerant controllers that are able to tolerate actuator faults and maintain high efficiency and performance. Motivated by this observation, considerable efforts on deriving fault‐tolerant control algorithm for train systems have been made during the past decades [8, 12–14]. Besides, automatically controlling the train speed to follow a desired trajectory is one of the demanding control problems of HSTs [1].…”