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针对变速器在线检测的复杂性,研制了一个基于自动换档机械手的变速器检测系统.最佳换档规律对于提高变速器的工作效率,延长使用寿命具有重要意义.系统使用神经网络来进行机械手换档的最佳档位判断,使决策更加智能化.针对换档是一个复杂的非线性时变过程,涉及到众多变量,使用专家系统进行机械手的换档控制,可以快速准确地执行正确操作,使换档过程更加拟人化.系统实际运行情况良好,证明了神经网络和专家系统在产品检测中应用的成功,系统对于机械手智能化及拟人化控制的应用有着很好的指导意义.
In view of the complexity of on-line detection of transmission, a transmission detection system based on automatic shift manipulator was developed. The optimal shift schedule is of great importance to improve the working efficiency and prolong the service life of the transmission.The system uses neural network to shift the manipulator The best gear to make decisions more intelligent.For the gear shift is a complex nonlinear time-varying process, involving a large number of variables, the use of expert system for manipulator shift control, you can quickly and accurately perform the correct operation, so that change The process of the file is more anthropomorphic.The system is in good condition, which proves the successful application of neural network and expert system in product testing.The system has very good guiding significance for the application of intelligent manipulator and humanoid control.