Applied Mechanics and Materials Vols. 602-605

Abstract: During the large transformers operation, the proportion of the non-essential energy consumption is higher. In order to reduce the energy consumption in power control process, a new design method of energy-saving control in large-scale power control process based on adaptive linear genetic algorithms. Loss model of power control is established firstly. Based on the relevant data of the model, energy-saving control in large-scale power control process can be achieved. Experimental results show that the improved algorithm can effectively reduce the energy consumption in large-scale power control system, and meet the actual demand of power control.

Abstract: Kinematics and dynamic model are the foundation for system design and performance analysis, and are also the guarantee of controller practicability. The Kinematics and dynamic model of three-wheeled robot with two wheels driving are established in this paper. Three wheeled supporting structure is simple, but stability is relatively poor. So on two aspects structure optimization of the robot is completed to ensure support stability and movement flexibility.

Abstract: In order to fix the defects of the inaccurate control parameters in concrete intelligent mixing, this paper proposes a concrete mixing parameter control method based on fuzzy neural network PID control algorithm. The control method mainly includes two parts-control parameter calculation and mixing data feedback. According to the control parameter calculation, the proposed method is capable of calculating the control parameters required to control the concrete mixing. The industrial concrete mixing condition can be feedback to the control end via data feedback method. The control parameters can be adjusted according to the feedback data to accurately control the concrete mixing. The experimental results illustrate the proposed algorithm can effectively increase the control accuracy with satisfactory performance.

Abstract: Nowadays, the level of mechanization is gradually increasing. In order to promote the rapid development of the mechanized production in China, the automatic control of large-scale machinery is required. Therefore, this paper puts forward a control model for the large-scale mechanical arm angle. During the control, the angle of the large-scale mechanical arm was calculated based on the actual production so as to achieve the automatic control of the angle. The experimental results indicated that carrying out automatic control of the large-scale mechanical arm according to algorithm proposed in this paper could improve the accuracy of the automatic control.

Abstract: The environment in poultry farm is a complex system with time-varying, nonlinear and pure lag. The traditional temperature control algorithm is difficult to obtain good control effect. In order to solve the issues of larger overshoot, vibration, low control accuracy and so on, this paper presents a fuzzy-PID estimated control algorithm. Firstly, the system identification is used to get more accurate system model. Then, using the fuzzy control rules improves the system stability precision, reduces the impact of the delay on the system and improves the adaptability of the system. Simulation results show that the proposed control strategy has a fast response, small overshoot, robustness, high control precision and so on. It provides a reference for intelligent control design of poultry temperature.

Abstract: Because of LED lights require long-term monitor, the paper presents a remote intelligent control system based on LabVIEW. The system set up by the hardware and software simulation is completed. First collected working status and environmental parameters of the system by ZigBee wireless sensor network. Then transfer data to a remote monitoring center via WiFi. The functions including data real-time display, analysis and storage can be realized by LabVIEW. Using the information collected corresponding control can be adopted, the power and brightness of LED lights can be adjusted, etc. Experiments show that the system is stable, simple to operate, easy to wiring and suitable for the application of LED Street light at present.

Abstract: The control of mobile coverage model is the focus research of wireless sensor network. If a node can balance the network load according to the network needs, which can greatly reduce the consumption of the network, improve the network transmission efficiency and prolong the network life cycle. Accordingly, this paper uses probability coverage principle to improve multilevel mobile sensor network model, which improves the mobile sensor network coverage and enhances the energy-saving effect of the network nodes. In order to verify the effectiveness and reliability of the multilevel mobile sensor network model, this paper uses MATLAB simulation platform to test the performance of network, and design the control program of node region division and moving path for mobile sensor network, which realizes the node automatic classification and moving. Finally, this paper utilizes the Plot curve of MATLAB to obtain the coverage rate of multilevel mobile sensor network and the curve of energy saving changing with the number of nodes. It provides a theoretical reference for the research on mobile sensor network.

Abstract: In this paper, the stability of the car when braking, the establishment of a complete vehicle dynamics model to analyze the main causes and influencing factors of automobile brake instability. Select the vehicle yaw rate and sideslip angle as the control variable, meaning the use of certain applications of fuzzy control theory, the ESP fuzzy controller, and control strategy simulation with.

Abstract: Through the introduction of the condensate system in 350 MW supercritical unit,we analysis and study the whole control strategy of condensate water based on automatic startup and shutdown control system.We realize condensate system of automatic startup and shutdown control and can automatically adjust deaerator level and pressure of condensation water pipe. The results is that the whole control strategy of condensate water based on automatic startup and shutdown control system is very good in controlling quality and has a good application value. 0 Preface APS is a control center of startup and shutdown automatically according to the set procedures ,which is to control each equipment/system cooperated with Data Acquisition System (DAS), Boiler Turbine Sequence Control System (SCS), Modulating control system (MCS) and Furnace Safeguard Supervisory System (FSSS), steam turbine digital electro-hydraulic control system (DEH), Coordinated Control system (CCS), Electric Control System (ECS), Automatic Voltage Regulation system (AVR) and so on. ^[1]

Abstract: Currently, PID controllers have been widely used in industrial control. And computer control systems are widely used in the field environment. How to design a discrete PID controller which has a good control performance is very important for existing control objects. In this paper, particle swarm optimization and quadratic performance index are used to optimize the control parameters of the discrete PID controller. The optimized results are given at last. By simulation studies and analysis, the optimal parameters of the PID controller are found by particle swarm optimization algorithm, and the quadratic performance index has a good effect on optimal control.