High-speed train finite time self-adaptive coordination control method and high-speed train finite time self-adaptive coordination control system

The invention relates to a finite time adaptive coordination control method and system for a high-speed train, and the method comprises the steps: firstly constructing a multi-particle dynamic model of the high-speed train, estimating uncertain parameters in the multi-particle dynamic model through a Lipschitz continuous mapping algorithm and a radial basis function neural network, obtaining an estimated model, and carrying out the estimation of the uncertain parameters in the multi-particle dynamic model; and calculating a local virtual error according to the expected running speed. Based on the estimated model and the local virtual error, a self-adaptive finite time coordination controller is designed for each power unit in the high-speed train so as to control the power units, the method has good real-time performance, coordination control over the high-speed train can be achieved within finite time, the anti-interference capacity is high, and the method is suitable for large-scale popularization and appli