This paper discusses a neural network (NN) control of a two-link flexible robot manipulator. The PID controller was formerly used to solve nonlinearities problem. One more efficient solution for nonlinearities problem is NN. An evaluation was conducted to assess the performances of the controller in the areas of the input tracking controller capability of the system compared to PID control. Furthermore, it is analyzed the robustness of the NN based on PID control schemes. The results showed that NN based on PID controller demonstrated better performance.
This study develops a variable speed drive training kit for electric motor control practice media in vocational education. This is research and development with the ADDIE model. The stages of the ADDIE model carried out are Analyze, Design, Development, Implementation, and Evaluation. A Variable Speed Drive (VSD) system consists of two panels, 1) a Variable Speed Drive panel and 2) a control and metering panel. The VSD Training kit module unit using Altivar 71 is a learning medium about electric motor control systems. The VSD Training kit can work well based on trials. The test results of the training kit variable speed drive function test show that at a frequency of 20 Hz, the magnitude of the current in the R, S, and T phases get the lowest value.
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