摘要
地铁车辆控制的核心是列车制动缸压力控制,具有非线性、大迟滞、复杂性、时变性的特点。为了有效减少由于地铁车辆空气制动施加、缓解所引起的列车纵向力加大对运营车辆安全的影响,建立制动缸压力的数学模型。采用基于T-S模糊预测控制的方法,设计地铁车辆模糊预测控制器和模糊预测控制规则,并通过比较其与传统模糊控制和PID控制的制动特性,验证所建模型的实用性和所选算法的有效性。
Subway vehicle control is the core of the brake cylinder pressure control, with nonlinear, large delay and complexity, the characteristics of time-varying, in order to effectively reduce caused by subway vehicle air brake applied, ease of train longitudinal force increasing impact on the operation of vehicle safety.Having built the mathematical model of brake cylinder pressure, using a method based on T-S fuzzy predictive control. Designed fuzzy predictive controller and fuzzy predictive control rules of Subway vehicle, and the practicality and effectiveness of the selected algorithm model verified by comparing its braking characteristics with the tragedy of traditional fuzzy control and PID control.
出处
《现代制造技术与装备》
2017年第1期1-3,共3页
Modern Manufacturing Technology and Equipment
