School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China.
School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China.
ISA Trans. 2019 Nov;94:28-35. doi: 10.1016/j.isatra.2019.04.007. Epub 2019 Apr 18.
Earth pressure balance (EPB) shield has been widely used in underground construction. The excavation face stability is crucial to avoid the accidents caused by EPB shield tunneling, so that it is very important to propose an effective control method for the earth pressure balance in sealed cabin. Considering the problem that stable automatic control of the earth pressure in shield's sealed cabin is difficult, an optimal control method of the earth pressure is proposed based on action-dependent heuristic dynamic programming (ADHDP), which can realize online autonomous learning and adaptive control in tunneling process. According to Bellman's principle of optimality, the cost function with respect to the sealed cabin's earth pressure is given. In addition, the action network and critic network of ADHDP controller are constructed. The critic network approximates the cost function and feeds error back into the action network. With the goal of minimizing the cost function, the action network utilizes the critic network's error to optimize screw conveyor speed. The simulation results show that the earth pressure controller based on ADHDP can realize the earth pressure balance control, and the control process is steadier. Moreover, ADHDP controller has good dynamic performance and anti-interference ability.
土压平衡（EPB）盾构机已广泛应用于地下工程施工中。为避免因 EPB 盾构隧道施工引起的事故，掌子面稳定至关重要，因此提出一种有效的密封舱土压平衡控制方法非常重要。针对盾构密封舱土压稳定自动控制困难的问题，提出了一种基于动作相关启发式动态规划（ADHDP）的土压最优控制方法，该方法可在隧道施工过程中实现在线自主学习和自适应控制。根据最优性贝尔曼原理，给出了密封舱土压的代价函数。此外，构建了 ADHDP 控制器的动作网络和评价网络。评价网络逼近代价函数，并将误差反馈给动作网络。以代价函数最小化为目标，动作网络利用评价网络的误差来优化螺旋输送机的速度。仿真结果表明，基于 ADHDP 的土压控制器能够实现土压平衡控制，且控制过程更加平稳。此外，ADHDP 控制器具有良好的动态性能和抗干扰能力。
