Applied Mechanics and Materials Vols. 380-384

Abstract: The mathematical vector model of a permanent magnet synchronous motor (PMSM) has first been discussed in this paper, and a servo control system based on Space Vector Pulse Width Modulation (SVPWM) has been designed, in which a enhanced Microprogrammed Control Unit (EMCU) is combined with drive chips and the relevant control software to achieve the precise control of PMSM. In order to control the position, speed and current of the PMSM, six SVPWM signals are generated with the motor vector control method, and the vector control strategy with three closed loops is projected. According to the control principle, the circuits of the hardware modules are designed and built, and the program of the control process is compiled and downloaded the EMCU, and then the human-computer interaction interface of the system is implemented by LabVIEW. The results of the test show that the control system designed can control the rotating speed and the high-speed pendulum operation of PMSM precisely.

Abstract: Collaboration of multi-satellite system has a good application effect in the global remote sensing and three-dimensional observations field. Develop collaborative multi-satellite formation flight simulation system based on HLA is of great significance for the study of complex formation change process in the multi-satellite formation flying. We first design the collaborative multi-satellite formation flight simulation system based on HLA, then study the application of Agent-based modeling technology in the collaborative of multi-satellite formation flight simulation. The key technologies involved the establishment of the satellite relative kinetic model and formation remains adaptive control problem. Therefore, we have designed a state-space model identification-based adaptive decoupling generalized minimum variance controller to solve the problem of precise control of the system. Digital simulation results show that the adaptive control method based on state space model identification can track the desired trajectory in the presence of unknown environmental disturbances and measurement noise and the simulation system can effectively verify Multi-satellite collaborative control method at the same time.

Abstract: FOG coil (fiber coil) is the core component of the FOG. During the winding, the tension of fiber winding directly affects the performance of fiber coil. The paper proposes a PID controller as the core of the tension control method and establishes the related model between rolling-up fiber spool and discharging fiber spool. The simulation results in Matlab Simulink show that the tension control system can primely coordinate the winding tension and have fast response, small overshoot, high accuracy and stability.

Abstract: In view of the complexity and periodic motion of automatic filling machine, a novel compound control strategy based on single neuron PID model reference adaptive control and repetitive control is proposed. Diagonal recurrent neural network (DRNN) is used as on-line identifier of system for the single neuron PID controller to adjust its weights and PID parameters by self-learning and self-adapting. The dynamic state performance can be improved by adaptive PID controller based on DRNN on-line Identification and the steady state performance is improved by modified repetitive controller. Simulation results show that the control system has good ability of restraining disturbances and high position tracking precision and good robustness.

Abstract: Aiming at the disadvantages of remote automatic meter reading way of the cable, this paper proposed wireless automatic wireless technology which based on the ZigBee technology and explained the key issues of wireless automatic routing mechanism, this mechanism has been applied in the wireless gas meter reading system, and operation effect is good.

Abstract: The paper focuses on researching the biped humanoid walking robot about its dynamic characteristics and the control technology. The humanoid robot adopts the structure of a human body. There are a total of 19 DOF full body which results in a high balanced capacity and easily controlled arms and legs. In this way, the robot can make all kinds of imitation of human actions, such as tai chi, dancing and so on. My robot can serve as a development platform. By installing different modules of sensors to change or expand the functions of the body, the robot can satisfy the users demand in an economical way.

Abstract: An improved large envelope nonlinear flight control method using active disturbances rejection control (ADRC) method and wavelet neural network is approved in this paper. Wavelet neural network is used to realize the inversion of the 6-DOF nonlinear airplane model. The wavelet neural network is optimized using simulated annealing particle swarm optimization algorithm to improve the approach precision. In order to improve the robustness and control performance in all disturbances, ADRC is used to realize the high precision flight control. The simulation results show that the large envelope flight controller has excellent control performance.

Abstract: There are still plenty of shortcomings in existing construction elevator ,such as low automation ,high cost and no communication equipment between the driver and users. Making use of wireless module to realize the transmission of user information,PLC control system are adopted, the serial communication mode between the PLC and the wireless module was adopted. Construction elevator is automated through these technologies. Practice shows that the efficiency is high and usage cost is low and operation is reliable.

Abstract: The catalytic cracking unit, of oil refining industry, is a complex process characterized by its prolonged time delay and strong coupling ability. The unit is highly nonlinear and varies with time. Its mathematic model can be obtained online with difficulty, so as the parameters model. We describe the system of A System of Computer Real Time Optimization Control for Oil Refining Indus try ,and it is present that the system rely on coupling method of parameter identification and online simulation and synthesizing evolutionary technology of Multiple optimization strategy. It builds a single input, single output black box mathematic model. It is applied to predict the trend of system outputs, guiding the operations. This system has been adopted in several oil refineries, the benefits are pronounced.

Abstract: An UAV autonomous aerial refueling (AAR) control method is approved in this paper. The flight controller is composed of predictor and auto disturbances rejection control (ADRC). In order to improve the control precision in the capture phase, the kalman filter method is used to predict the next step position. Considering the turbulent flow and the mass changing in the capture and hold phase, ADRC method is used to design the inner loop controller. In order to improve the design efficiency, the parameters of the ADRC are optimized by PSO-Immune algorithm. The simulation results show that the autonomous aerial refueling controller has excellent control performance and high robust ability.