scholarly journals An intelligent method for controlling the ECP braking system of a heavy-haul train

2020 ◽  
Vol 2 (2) ◽  
pp. 133-147
Author(s):  
Chun Tian ◽  
Mengling Wu ◽  
Lu Zhu ◽  
Jun Qian
Keyword(s):  
Intelligent Control ◽  
Control Method ◽  
Reduction Rate ◽  
Longitudinal Impact ◽  
Backstepping Method ◽  
Braking System ◽  
Heavy Haul Train ◽  
Brake Pressure ◽  
Heavy Haul ◽  
Heavy Haul Trains

Abstract An intelligent control method is proposed for the electronically controlled pneumatic (ECP) braking system of a heavy-haul train. The gradient of the ramp is estimated using a Kalman filter in real time and the braking force is adjusted by the backstepping method, so that vehicles on different gradients change their brake pressure with the change in the gradient to keep the instantaneous deceleration of each vehicle consistent, thus reducing the longitudinal impact between vehicles. The longitudinal impact of heavy-haul trains with and without intelligent control under different gradients, initial braking speeds, loads and complex terrains are simulated and analysed. The results show that when the intelligent control is applied, each vehicle can adjust its brake pressure in time according to the change of gradient. The intelligent control method can effectively alleviate the longitudinal impact of vehicles, and the reduction rate remains greater than 40% under the influence of various factors.

scholarly journals Study on a segmented electro-pneumatic braking system for heavy-haul trains

2020 ◽  
Vol 2 (3) ◽  
pp. 216-225
Author(s):  
Wei Wei ◽  
Yong Jiang ◽  
Yuan Zhang ◽  
Xubao Zhao ◽  
Jun Zhang
Keyword(s):  
Longitudinal Impact ◽  
Electronic Control ◽  
Railway Network ◽  
Braking System ◽  
Heavy Haul Train ◽  
Heavy Haul ◽  
New Type ◽  
Control Devices ◽  
Heavy Haul Trains ◽  
Main Factor

Abstract The large longitudinal impact of heavy-haul trains is the main factor limiting their development, and the asynchronous nature of train-braking systems is the main cause of this longitudinal impact. In this paper, a segmented electro-pneumatic braking solution fully compatible with the existing freight-train braking system in China is proposed to improve the synchrony of train-braking systems. A simulation model for this braking system is developed based on air-flow theory, the 120 distribution valve and electronic control devices. The braking characteristics obtained from simulations are compared to those from the train-brake testing platform, and show high fidelity. On this basis, the effects of the new braking system on the braking capacity and longitudinal impact of a 20 000 t heavy-haul train are analysed by further simulation. The results show that during service brakes, the segmented electro-pneumatic braking system can increase the braking capacity by 4.2–24.7% and reduce the coupler force by 21.6–68.0%. Therefore, it can be seen that the segmented electro-pneumatic braking system is a new type of electro-pneumatic brake that meets the needs of the Chinese railway network. It solves the problem of the longitudinal impact of heavy-haul trains satisfactorily, and its compatibility with the existing braking system (resulting in a reduced modification workload) makes it possible to maintain normal operations on heavy-haul lines while trains undergo modification.

scholarly journals Tracking control via sliding mode for heavy-haul trains with input saturation

2020 ◽  
pp. 002029402095245 ◽  
Author(s):  
Jing He ◽  
Xingxing Yang ◽  
Changfan Zhang ◽  
Jianhua Liu ◽  
Qian Zhang ◽  
...  
Keyword(s):  
Tracking Control ◽  
Control Method ◽  
Sliding Mode ◽  
Input Saturation ◽  
Tracking Accuracy ◽  
Uncertain Disturbances ◽  
Heavy Haul ◽  
New Type ◽  
Heavy Haul Trains ◽  
Compensation Signal

To address the tracking control problem of heavy-haul trains (HHTs) with input saturation during operation, an anti-saturation sliding mode (SMES) control method based on dynamic auxiliary compensator (DAC) is presented. Firstly, an HHT model with nonlinear coupling and uncertain disturbances is built. Secondly, a new type of DAC is introduced to overcome the difficulty of traditional dynamic auxiliary compensator (TDAC) with a large upper bound on the compensation signal. Finally, an anti-saturation SMES control algorithm is designed to reduce the influence of input saturation on the tracking accuracy of each carriage. Simulation results verify the effectiveness of the algorithm in terms of tracking accuracy, anti-interference, and anti-saturation.

Pseudospectral Real-Time Optimal Energy Control with Safety Constraints for Heavy-Haul Trains

2017 ◽  
Vol 21 (2) ◽  
pp. 258-265
Author(s):  
Rui Zhang ◽  
◽  
Jun Peng ◽  
Bin Chen ◽  
Hongtao Liao ◽  
...  
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Closed Loop ◽  
Pseudospectral Method ◽  
Heavy Haul Train ◽  
Heavy Haul ◽  
Time Optimal ◽  
Safety Constraints ◽  
Heavy Haul Trains ◽  
Control Principle

Heavy-haul trains must be energy-efficient and safe during their operations. Owing to the multidimensional high-order nonlinear characteristic of heavy-haul trains, which include numerous cars, this paper proposes a uniform pseudospectral real-time closed-loop optimal control framework to minimize the energy consumption with control inputs and state constraints based on the Radau Pseudospectral Method (RPM). In the framework, in order to ensure safe running of the heavy-haul train, the desired in-train force and speed limit requirements are formulated as constraints of optimal control. Simultaneously, a constrained closed-loop optimal control is constructed by using the receding horizon control principle and pseudospectral observer, in which RPM is leveraged to obtain real-time optimal solutions. The effectiveness of the proposed approach is verified from simulation results.

scholarly journals Exploration of key traction-running equipment and its problems on heavy-haul trains and research on technology development

2020 ◽  
Vol 2 (3) ◽  
pp. 161-182
Author(s):  
Chunyang Chen ◽  
Wei Li ◽  
Youmei Liu ◽  
Xiang Wei
Keyword(s):  
Technology Development ◽  
Rolling Stock ◽  
Practical Applications ◽  
Technical Developments ◽  
Heavy Haul Train ◽  
Heavy Haul ◽  
Traction Equipment ◽  
Heavy Haul Trains ◽  
Technology Control ◽  
Heavy Haul Railway

Abstract In recent years, heavy-haul train technology has seen a number of innovations worldwide, and train traction-running technology has also made great progress, resulting in a rich pool of experience and a range of promising applications. This paper summarizes the key technologies of traction running in heavy-haul combined trains, especially locomotive and rolling-stock technology, traction technology, braking technology, control technology, communication technology and safety technology. At the same time, based on an analysis of practical applications, this paper further explores the main problems and urgent needs of traction equipment on heavy-haul trains. With an eye to the future, the heavy-haul railway system will develop in the direction of informatization, automation and intelligence, in order to build a greener, more energy-saving, safer and more efficient railway. This paper therefore looks forward to the technical developments of heavy-haul combined trains, and provides a reference for the development of heavy-haul railways.

Braking angle control of loom spindle based on neuron-adaptive PID algorithm

2021 ◽  
pp. 1-9
Author(s):  
Yanjun Xiao ◽  
Zeyu Li ◽  
Zhe Mao ◽  
Wei Zhou
Keyword(s):  
Intelligent Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Method ◽  
Pressure Control ◽  
Pid Algorithm ◽  
Braking System ◽  
Control Precision ◽  
Allowable Error ◽  
Electromagnetic Clutch

The intelligent control strategy of electromagnetic clutch actuator is analyzed in detail in this paper. The start - stop control of the loom is realized by an electromagnetic clutch. The existing control method of electromagnetic clutch of loom is high and low pressure control strategy. The operator sets the braking advance angle according to experience, to realize the accurate braking of the spindle, but it is difficult to realize the fast and accurate control. In order to achieve good performance, it is very important to develop a fast and accurate loom braking system. Aiming at the fabric defects caused by the elongation of the warp when the loom is stopped, a method of stabilizing the excitation current of the electromagnetic clutch by using the neural adaptive PID (proportional integral differential) controller is proposed to improve the control precision of the actuator. The experimental results show that the proposed control algorithm is feasible and can effectively realize the adaptive control of the spindle braking Angle within the allowable error range.

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