利用神经网络进行综合机构的建模和控制

Modelling and Control of Hybrid Mechanisms Using Neural Network

介绍了逆模型超前控制器,神经网络反馈单元及由5层神经网络组成的集成控制 系统.集成控制系统包括一个由神经网络组成的系统模型和具有自调整功能的控制单元.该 方法被用于优化设计的综合机构控制仿真,结果证明了它的先进性和可行性.

To realize the optimized hybrid machine benefits in practice, a control system is designed. These comprise an inverse model feed-forward controller with a neural network feedback element and a integrate neural network in which the controller and plant model are combined to form a five-layer neural network. The neural network feedback element constructs a self-tuning loop. The results indicate their potential for practical use and their feasibility.