基于模糊神经网络的水火弯板双臂系统控制与研究

研究了水火弯板双机械臂的非线性控制问题,采用一种模糊神经网络算法,利用神经网络的学习能力和模糊控制的模糊信息处理能力,调整优化双机械臂运动的位置偏差,得到该控制体系下的最佳驱动参数,仿真结果表明,该控制策略提高了水火弯板双机械臂的控制精度,并且使系统具有较好的动、静态性能。

The Research of Line Heating Dual Mechanical Arm Control Based on Fuzzy Neural Network

Researched the nonlinear control system of line heating with double arm, using a fuzzy neural network algorithm, which has the ability of learning ability and fuzzy information processing capability of fuzzy control, and adjusting the position deviation in the movement of the dual arm. And then the optimal driving parameters can be obtained under this control system. The test results showed that the control strategy not only effectively improving the control precision of line heating dual manipulator, and the system has a good dynamic and static performance.