A Practical Deceleration Control Method, Prototype Implementation and Test Verification for Rail Vehicles

Abstract

Currently, the theoretical braking force control mode, characterized by actual deceleration as an unstable open-loop output, is the most widely used brake control mode in trains. To overcome the shortcomings of non-deceleration control modes, a deceleration control mode is proposed to realize the closed-loop control of train deceleration. First, a deceleration control algorithm based on parameter estimation was derived. Then, the deceleration control software logic was designed based on the existing braking system to meet the engineering requirements. Finally, the deceleration control algorithm was verified through a ground combination test bench with real brake control equipment and pneumatic brakes. The test results show that the deceleration control can make the actual braking deceleration of the train accurately track the target deceleration in the presence of disturbances, such as uncertain brake pad friction coefficients, line ramps, vehicle loads and braking force feedback errors, as well as their combined effects, and does not affect the original performance of the braking system. The average deceleration in the deceleration control mode is relatively stable, and the control error of instantaneous deceleration is smaller.

Fuzzy Neural Network PID-Based Constant Deceleration Control for Automated Mine Electric Vehicles Using EMB System

“…Although there are a few studies working on the constant deceleration braking mechanism in mine machinery, some research contributions in the field of railway vehicles and urban trains can be referenced. Wang and Wen et al [5] introduce the idea that the pressure of a brake cylinder in an urban train can be adjusted adaptively to track target deceleration based on the deceleration signal from the deceleration sensor and the dynamic friction coefficient derived from machine learning method; the experiments show good deceleration tracking ability. Aiming at improving the deficiency of the non-deceleration control mode and the uncertainty of multi-parameters, a new deceleration control algorithm based on unified parameter estimation is presented in [6], the test results of which show that the average deceleration is relatively stable and the instantaneous deceleration error is small under the disturbance of the uncertain friction coefficient, road slope, vehicle load, and braking force feedback error.…”