Good current collection of pantograph-catenary systems (PCS) is a prerequisite for safe operation of high-speed trains. In order to diminish contact force fluctuation and enhance current collection quality of PCS, an intelligent immune fuzzy controller (IIFC) for high-speed railway pantographs is proposed, which is inspired by biological immune modulation mechanism. First, a nonlinear dynamic model of PCS is established for three-degree of freedom equivalent mass model of pantographs. Then, the adaptive adjustment of quantization and scale factor parameters of fuzzy controller is carried out based on immune modulation mechanism and principle of antigen presentation, which effectively enhances the dynamic performance of fuzzy controller. And immune parameters of immune fuzzy controllers are obtained by combining quantum behavioral particle swarm optimization (QPSO) algorithm, IIFC for high-speed railway pantographs is proposed. Finally, the validity of IIFC is proved by simulation experiments under different working conditions. Compared with fuzzy proportional-integral-derivative and adaptive variable universe fuzzy control, IIFC can significantly diminish contact force and displacement fluctuation of pantographs, increase current collection quality of PCS, demonstrate strong adaptability and robustness to the working conditions, which will surely become a key method for increasing the current collection quality under different working conditions.
Ji et al. (Thu,) studied this question.