Measurement and Control System of Self-propelled Levelling Machine Based on Inclination Sensor and Laser

The measurement and control system of the self-propelled levelling machine adopts the software and hardware composing and the control mode based on inclination sensor and laser emitter. The system adopts the inclination sensor and laser emitter as the datum signal to form the datum plane. The separate time treatment avoids simultaneously adjusting inclination and laser signal to each other interfere. The hydraulic servo system controls the levelling part to work on the plane that parallels with the datum plane. The test result shows the measurement and control system satisfy with the request of the self-propelled levelling machine

Study of Tractor AMT Automatic Gear Shift Based on Artificial Neural Network

The paper aims at the complex situation of the tractor field operation and adopts the gear shift rule of two parameters to control the six gear shift of the tractor. Using the artificial neural network chip the model number of which is ZISC036 and the computer on slice the model number of which is PIC17C42 establishes the controller of the radial basis function artificial neural network-RBFANN. Based on the optimal gear shift information emitted by the RBFANN controller, PIC17C4 emits the control command to control the hydraulic system to realize the automatic gear shift according to the predetermined rule. The sample data is simulated by MATLAB. It shows that RBFANN identification system can solve the problem of the gear recognition and the gear position can be accurately identified. The paper offers the theoretical basic for the design and study of the tractor AMT automatic gear shift