Comfort Optimization of the Active Collision Avoidance Control System of Electric Vehicles for Green Manufacturing

Abstract

The vehicle model was built based on MATLAB/Simulink and Carsim, and the multi-objective active collision avoidance control algorithm considering safety and comfort was established based on a model predictive control (MPC) algorithm. The vehicle active collision avoidance control system for comfort and safety was studied by simulation and experimentation. The results show that the active collision avoidance control system based on an MPC algorithm can follow the vehicle under different working conditions and ensure the safety and comfort in the process of following the vehicle while meeting the requirements of the active collision avoidance control system.

Application Research on Adaptive Control Method of Variable Frequency Tensioning System for Large Belt Conveyor

“…The belt conveyor has been widely used in mining, metallurgy, electric power, cement, grain, chemical industry and other fields since its birth. As a big coal mine country, China has gradually mechanized and automated the mining of coal mines, So the belt conveyor is evolving towards extended distances high belt speed and high power [1][2] .…”