针对液压弯辊控制这一随机干扰严重、滞后、时变的伺服系统，提出一种基于广义预测控制的液压弯辊控制系统。
This paper proposes a new generalized predictive control of the hydraulic bending roll system which features serious disturbance, time delay, nonlinear, and time varying.
仿真结果表明：采用广义预测控制并用预报误差代替一般的误差校正算法，液压弯辊板形控制系统精度和鲁棒性明显提高。
The simulation results show that the system precision and robust is greatly improved through generalized predictive control and output error compensation instead of error correction.
针对液压弯辊系统数学模型的非线性、时变特性，本文设计了一种模糊神经网络模型参考自适应控制器。
In view of the time-variable and nonlinear characteristics of mathematical model of hydraulic bending roll system, this thesis design a new nonlinear adaptive controler based on fuzzy neural network.
应用推荐