US 12,420,849 B2
Heavy-haul train and longitudinal dynamics traction operation optimization control system and method thereof
Wei Li, Hunan (CN); Songxu Wang, Beijing (CN); Yongsheng Yu, Shanxi (CN); Wenlu Zhang, Hunan (CN); Jianhua Wu, Shanxi (CN); Guozhong Chen, Hunan (CN); and Kai Wang, Hunan (CN)
Assigned to Central South University, Hunan (CN); National Railway Administration Equipment Technology Center, Beijing (CN); Science and Technology Research Institute of Daqin Railway Co., Ltd., Shanxi (CN); and Changsha Nanrui Rail Transport Electric Equipment Co., Ltd., Hunan (CN)
Appl. No. 18/568,643
Filed by CENTRAL SOUTH UNIVERSITY, Hunan (CN); NATIONAL RAILWAY ADMINISTRATION EQUIPMENT TECHNOLOGY CENTER, Beijing (CN); SCIENCE AND TECHNOLOGY RESEARCH INSTITUTE OF DAQIN RAILWAY CO., LTD., Shanxi (CN); and CHANGSHA NANRUI RAIL TRANSPORT ELECTRIC EQUIPMENT CO., LTD., Hunan (CN)
PCT Filed Feb. 27, 2023, PCT No. PCT/CN2023/078438
§ 371(c)(1), (2) Date Dec. 8, 2023,
PCT Pub. No. WO2023/126023, PCT Pub. Date Jul. 6, 2023.
Claims priority of application No. 202111652604.0 (CN), filed on Dec. 30, 2021.
Prior Publication US 2024/0336289 A1, Oct. 10, 2024
Int. Cl. B61L 23/08 (2006.01); B61L 15/00 (2006.01)
CPC B61L 23/08 (2013.01) [B61L 15/0018 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A longitudinal dynamics traction operation optimization control system for a heavy-haul train, comprising:
a motion dynamics model, with control instructions of the train as input, an optimization goal of reducing longitudinal impulse, and desired traction/electrical braking force as output;
an expert system, with the desired traction/electrical braking force output by the said motion dynamics model, output of an optimization output and feedback module as input, to adjust the desired traction/electrical braking force and feed back adjustment results to the said motion dynamics module;
a prediction model, with the desired traction/electrical braking force output by the said expert system as input, to set an objective function and predict traction/electrical braking force, wherein
an expression of the objective function set by the prediction model is:

OG Complex Work Unit Math
where Fr(k+i) is desired traction/electrical braking force obtained by the said expert system at time k+i, expressed as: Fr(k+i)=(1−αi)Fr(k)+αiF(k); F(k) is actual traction/electrical braking force at time k; αi is a flexibility coefficient computed by the expert system based on train load; rj is a weighting coefficient, u(k)=(G1TQG1−R)TGTQ[Fr(k+1)−G2u(k−1)−He(k)], Q=diag[q1, q2, . . . , qp], and q1, q2, . . . , qp are predicted error weighting coefficients; R=diag[r1, r2, . . . , rp], and r1, r2, . . . , rp are control quantity weighting matrices; H=┌h1, h2, . . . , hp┐r, and h1, h2, . . . , hp are feedback coefficient matrices; G=[g1, g2, . . . , gp], g1, g2, . . . , gp are impulse response coefficient matrices, G1 is an impulse coefficient matrix for predicting future conditions, and G2 is an impulse coefficient matrix for past known conditions; M is a control time domain length; p is a predicted time domain length; e(k) is a prediction error at time k, Fp(k)=Fm(k)+He(k); e(k)=F(k)−Fm(k); Fm(k) is predicted output at time k; and
an optimization output and feedback module, configured to adjust traction/electrical braking force of the train according to the traction/electrical braking force predicted by the prediction model, and feed back the adjusted traction/electrical braking force and real-time monitored coupler force to the expert system.