利用神經網絡進行綜合機構的建模和控制
Modelling and Control of Hybrid Mechanisms Using Neural Network
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摘要: 介紹了逆模型超前控制器,神經網絡反饋單元及由5層神經網絡組成的集成控制系統.集成控制系統包括一個由神經網絡組成的系統模型和具有自調整功能的控制單元.該方法被用于優化設計的綜合機構控制仿真,結果證明了它的先進性和可行性.Abstract: 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.
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