冷铣刨机模型参考单神经元功率自适应控制研究

摘要

针对目前冷铣刨机功率控制算法的不足,提出了应用模型参考单神经元功率自适应控制算法对冷铣刨机进行控制,构建了冷铣刨机模型参考单神经元功率自适应控制的控制结构,对该算法进行了理论分析,证明了其稳定性,并将该算法应用于铣刨机,在铣刨深度为8 cm的工况下进行了作业试验研究.试验结果表明:未使用功率控制时,机器的作业速度主要依靠机器自身进行调节,发动机出现了过载,机器平均作业速度为8.419 m/min;在使用控制器后,发动机基本工作在额定工况下,机器的栽荷发生变化时,控制器能对机器的作业速度及时做出调整,机器的平均作业速度为9.538 m/min,比未使用功率控制提高了13.3%.%According to the insufficiency of the adaptive power control algorithmic of the cold milling machine, the model reference model single neuron adaptive power control algorithmic is selected to control the cold milling machine. The structure of the model reference model single neuron adaptive power control system is built up. The control algorithmic and its stability are studied theoretically. The control algorithm is tested in the work condition that the machine mills at the depth of 8 cm. The results show that the machine speed is adjusted by the machine itself when the adaptive power control system is not used on the machine, the machine is overload and the machine average work speed is 8. 419 m/min. When the machine works with the adaptive control system, the machine basically works at its rate work condition during its work process. The machine work speed is adjusted by the control system in time when the machine load is changed and the machine average work speed can reach to 9. 538 m/min which is 13.3％ higher than the machine that is without an adaptive power control system.