Design of Pantograph LQR Controller Based on Improved Artificial Bee Colony Algorithm
To address the issue of insufficient manual selection of weight coefficients for performance indicators in the LQR control strategy of pantographs,a three-element mass model of SS400 pantographs is established,and an LQR controller for pantographs is designed.The objective function is established based on the ratio of contact force stan-dard deviation to bow head displacement standard deviation as the evaluation index.Due to the slow convergence speed and tendency to fall into local optima of the standard artificial bee colony algorithm,optimize the weight coef-ficients of the LQR controller by improving the selection strategy and search method of the bee colony algorithm.Establishing a bow net coupling model in MATLAB/Simulink environment for simulation at speeds of 250 km/h and 300 km/h respectively.By comparing the results with passive control and standard bee colony algorithm optimization,the improved bow net performance indicators were optimized by 52.8%,37.5%,27.8%,31.8%,40.5%,43.1%,9.3%,7%,significantly improved the quality of pantograph current collection.
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