State Measurement and Control Technology of Unmanned Vehicle Based on High-Precision Positioning

For the unmanned vehicle system, the state measurement and control technology is one of the key links to realize the real unmanned vehicle. Based on RTK positioning technology and ultrashort wave spread spectrum communication technology, the key technologies of special vehicles with unmanned automatic operation are studied, and a set of state monitoring and control system of special vehicles with unmanned automatic operation is developed. Through the experimental research, the unmanned vehicle state monitoring and control system can better complete the functions of vehicle location and electronic map display and meet the design requirements. The research results provide technical support for the practical application of special vehicles with unmanned automatic operation.

Fully Automatic Operation Algorithm of Urban Rail Train Based on RBFNN Position Output Constrained Robust Adaptive Control

High parking accuracy, comfort and stability, and fast response speed are important indicators to measure the control performance of a fully automatic operation system. In this paper, aiming at the problem of low accuracy of the fully automatic operation control of urban rail trains, a radial basis function neural network position output-constrained robust adaptive control algorithm based on train operation curve tracking is proposed. Firstly, on the basis of the mechanism of motion mechanics, the nonlinear dynamic model of train motion is established. Then, RBFNN is used to adaptively approximate and compensate for the additional resistance and unknown interference of the train model, and the basic resistance parameter adaptive mechanism is introduced to enhance the anti-interference ability and adaptability of the control system. Lastly, on the basis of the RBFNN position output-constrained robust adaptive control technology, the train can track the desired operation curve, thereby achieving the smooth operation between stations and accurate stopping. The simulation results show that the position output-constrained robust adaptive control algorithm based on RBFNN has good robustness and adaptability. In the case of system parameter uncertainty and external disturbance, the control system can ensure high-precision control and improve the ride comfort.

DESIGN DEVELOPMENT AND TECHNICAL ANALYSIS OF AUTO CHECKING HARDNESS MACHINE - A STUDY CASE OF HARDNESS TESTER HR-522 SERIES

A hardness-checking machine is a crucial tool in engineering study, especially in the mechanical and manufacturing process. It usually used to measure, calibrate, and standardize the quality of the product. It is based on the field problem in Akebono Brake Astra Indonesia for using more manual tools to achieve product demands. It is considering those issues, the development of a modified hardness checking tool from manual operation to automatic operation. Using automatic operation is useful in time and savings for other manual tools. The automatic tool applies the 3-axes system mechanism using Festo linear actuator with the servo motor. The testing capacity of automatic devices is equal to more manual devices. The frame of the auto-checking hardness machine is assessed by applying load variations. From the other similar work of auto checking hardness machine, this paper provides the comparison of various aluminum frame types based on different tensile strength and cross-sectional area values. The other analysis is calculating the base plate for hardness testing. There are 9 points of testing to calculate the use of linear guides for the base plate. The results are the excellent value of tensile strength has good results of displacement and maximum stress.