摘要
Abstract
Using neural network to the ability to approximate any nonlinear, the and nonlinear inverse system combination, of mine hoist speed control system of the inverse model of the modeling, a new control strategy is proposed. The strategy to inverse system theory as the basis, the mine lifting machine speed control system as the object, the integrator and static multi-layer feedforward neural network combination way, build dynamic neural network structure, used to approximate the inverse system, combined with the classical control method, the design of the speed control system of PID neural network inverse control er. The simulation results show that the designed system can realize the effective control of engine speed control of mine hoist. A response has the advantages of fast speed, strong tracking ability.关键词
矿井提升机/神经网络/逆系统/神经网络逆控制器Key words
mine hoist/neural network/inverse system/neural network inverse controller分类
信息技术与安全科学
