An Integrated Intelligent Control Algorithm for High-Speed Train ATO Systems Based on Running Conditions

Luo, Hengyu; Xu, Haibo

doi:10.1109/icdma.2012.49

Cited by 13 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In terms of the high performance control of the traction drive system, the advanced Alternating Current (AC) drive control technology, such as the direct torque control and vector control of the traction motor, is inseparable from the sensor for testing the states of traction motors and inverters [ 5 , 6 , 7 ]; in terms of the safety of the train operation, the sensors play an important role in detecting the system state; in terms of intelligence of the rail transit, how to grasp more data for train operation to support the intelligent control of the train. Intelligent monitoring and diagnosis, intelligent maintenance, and other relevant functions are also inseparable from the advanced sensors for monitoring and controlling the train [ 8 , 9 ]. The CRH380AL for example, is equipped with more than 1000 sensors [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Review on the Traction System Sensor Technology of a Rail Transit Train

Feng

Liao

et al. 2017

Sensors

View full text Add to dashboard Cite

The development of high-speed intelligent rail transit has increased the number of sensors applied on trains. These play an important role in train state control and monitoring. These sensors generally work in a severe environment, so the key problem for sensor data acquisition is to ensure data accuracy and reliability. In this paper, we follow the sequence of sensor signal flow, present sensor signal sensing technology, sensor data acquisition, and processing technology, as well as sensor fault diagnosis technology based on the voltage, current, speed, and temperature sensors which are commonly used in train traction systems. Finally, intelligent sensors and future research directions of rail transit train sensors are discussed.

show abstract

Section: Introductionmentioning

confidence: 99%

Review on the Traction System Sensor Technology of a Rail Transit Train

Feng

Liao

et al. 2017

Sensors

View full text Add to dashboard Cite

show abstract

“…Although the tracking precision is improved, the frequent switching of control action affects the riding comfort seriously. With the development of artificial intelligence, the intelligent algorithms, especially the fuzzy logic theory, have been introduced into ATO system [4][5][6][7]. Their study results show the speed adjustment performance and riding comfort have been improved, but the necessary experiential knowledge is hard to summarize comprehensively and efficiently.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Controller Designed for High-Speed Train ATO System with Nonlinear and Uncertain Resistance

Luo

2013

AMM

View full text Add to dashboard Cite

This paper investigates the tracking control problem of high-speed train system. The nonlinearities and uncertainties exist during the train operation are becoming even worse and cannot be ignored or simply linearized anymore as the speed increases. An adaptive control algorithm is developed to improve the tracking performance that does not rely on the accurate model parameters which are impossible to obtain precisely in practice and can deal with the nonlinearities efficiently. Based on the Lyapunov stability theory, the backstepping design method is used to deduce the control law step by step, and the certainty-equivalent principle is employed to dispose the uncertain parameters. Both the rigorous theoretical analysis and simulation results are all verified the effectiveness of this proposed control algorithm.

show abstract