摘要
根据从盾构机刀盘进入密封舱的渣土的体积与从螺旋输送机排除渣土的体积平衡原理以及渣土的非线性本构模型,建立了密封舱压力控制的离散状态方程。分别采用BP神经网络和P ID神经网络作为辨识器和控制器,研究了盾构机密封舱压力控制时变系统的辨识和控制问题。数值仿真结果表明,所提出的基于神经网络的盾构机密封舱压力控制方法是有效的,并且具有良好的稳定性和鲁棒性。
According to the volume balance principle that volume of entering headchamber from cutterhead of shield machine is equal to the carried volume by screw conveyor,a discrete state equation is proposed for pressure control of headchamber in shield tunneling based on nonlinear constitutive model of waste soil. BP neural network and PID neural network are used as identifier and controller. The pressure control and model parameter identification of time-varying system of shield tunneling are studied. Numerical simulation result shows that the pressure control method based on neural network in shield tunneling is effective. The proposed algorithms have good stability and robustness.
出处
《广西师范大学学报（自然科学版）》
CAS
北大核心
2010年第3期175-181,共7页
Journal of Guangxi Normal University:Natural Science Edition
基金
国家重点基础研究发展规划(973)资助项目(2007CB714006)
国家自然科学基金重点项目(90815023)
关键词
密封舱压力控制
PID神经网络
辨识器
控制器
控制方程
pressure control of headchamber
PID neural network
identifier
controller
control equations
