Expert Control of Mine Hoist Control System

This paper presents a kind of intelligence control algorithm for the mine hoist control system. Firstly, the desired output of the system is described by a speed curve of hoisting process. Then, the structure diagram of the hoist system is constructed, and the expert PID controller is designed based on the model of this control system; the expert knowledge base was established according to the analysis of characteristics in different periods of the hoist process. Finally, the control effect was verified by SIMULINK simulation; by comparing with the result of conventional PID control, expert PID control is improved more safe and suitable for the mine hoist control system.

Laboratory Experiment of Slide Drilling Tool-Face Control Based on Model Similarity Theory

Slide drilling is widely used in directional drilling because of its lower cost, but the tool-face adjustment during the drilling process is almost completed by the driller, and the automatic control has not yet been realized. The main difficulty is that the drill string system has a large amount of contact and friction with the wellbore. Moreover, it is also affected by the viscous force of the mud fluid, which brings more difficulty to achieve accurate dynamic model. Considering that the actual drilling is too costly, it is necessary to establish an indoor experimental system to simulate the response of the slide drilling tool-face, thus providing an experimental platform for the research of the control method. In this paper, the dynamic equation of the torsion process of the drill pipe is established. According to the model similarity theory, the similarity condition of parameters and scale correspondence between the experimental model and the drilling prototype are obtained, which provides the basis for selection of simulated drill pipe and mud. Then the expert PID method is used to realize the automatic tool-face control based on the laboratory experimental system. The experimental results show that the expert PID method can obtain better control effect rather than the traditional PID method, and it could be used in the actual slide drilling because of the dynamic similarity.

Research on a Visual Sensing and Tracking System for Distance Education

With Microsoft’s motion sensor Kinect and a customized 3-axis pan-tilt-roll machinery connected together, a new intelligent sensing and tracking system comes into being. In order to simulate human natural visual sensing behavior, this system adopts the sensing function from Kinect placed upon the 3-axis motion machinery, controlled by a proposed expert PID control algorithm based on the adaptive Kalman filter, so as to guarantee automatic real-time visual tracking and to observe human movements and receive his/her position information. Experimental results indicate that this new system is capable of tracking one individual’s real-time movements with relatively high accuracy. Though this system is designed to be applied directly to distance education, it has great potential of functioning as a basic platform where many other human-computer natural interactions can be extended.