摘要
介绍了双护盾掘进机推进系统的工作原理,并在AMEsim环境下建立了其液压系统模型,根据实际情况对相关参数进行了优化设计。此外,考虑到系统的时变非线性及复杂工况的影响,采用了基于RBF神经网络的自整定PID控制算法。运用MATLAB软件编写了相应的S函数,通过AMEsim/Sinulink与AMEsim进行了模块化联合仿真分析。结果表明,与常规PID控制相比,该控制器易于实现PID参数的自整定,能明显改善系统的鲁棒性和适应能力。
The working principle of the thrusting system in the double-shield TMB is introduced in the paper, the model of its hydraulic system is built in AMEsim environment, and the relevant parameters are optimized based on the practical situation. Besides, in view of the system＇s time-varying, non-linear features and affects of the complex operating conditions, the self-adaptive PID control algorithm based on RBF NN is adopted. S function is written by MATLAB software, and the combined simulation is carried out by AMEsim and MATLAB/Simulink software. The results show that compared to the general PID, this controller can easily achieve the adaption of PID parameters and can clear improve the system robustness and the adaptive ability.
出处
《矿山机械》
北大核心
2010年第3期4-8,共5页
Mining & Processing Equipment
