Advanced Materials Research Vols. 945-949

Abstract: In this paper, a kind of micro-gripper is introduced using vacuum adsorption method. The gripper is used to grasp a mm size micro-part in a micro-assembly process. Because of the requirement of the adsorption force, the negative pressure control system is employed which can let the micro-gripper inhale and exhale freely. Accordingly, the adsorption force of the micro-gripper can be controlled accurately. The PLC controller is used to get the pressure information from the electronic proportional valve. The PID control law is employed to adjust the opening of the valve. In this way, the micro-gripper can easily clamping and release micro-part especially for some micro-parts with adsorption effect. Experiments show that the adsorption force on the micro-part is greater than 0.5N satisfying the requirement of the clamp to grasp the micro-part.

Abstract: This research paper presents the experimental results of classifying weight of objects by using a load cell. The machine was designed to classification of all three different objects' weight and the objects consisted of light weight, medium weight and heavy weight to move along the conveyor belt into the defined tray. Load cell was used for the object detection by reading the amount of the objects' weight, after that converted into an electrical signal for each different weight and then micro-controller process to control the stepper motor by closing or opening the door. The tray was designed to into 3 slots for the objects on condition that the operation of two stepper motors. If the one is rotated clockwise 130 degrees to open the door for a heavy weight to flow into slot on the left, if the other one is rotated clockwise 98 degrees to open the door for a medium weight to flow into slot on the center and if both ones are stopped a light weight to flow into slot on the right. From the result, it can be shown that the average classifying time of the testing objects is 15.30, 14.68 and 14.34 seconds for heavy weight, medium weight and light weight respectively and the classification of objects with high accuracy.

Abstract: In order to solve the position inaccuracy when parking the kettle net car, we studied the compensation method of the screw rotation .The reason of the error has been found by analyzing the setting position and the actual position of the screw during transmission process. The enlargement process was added into the PLC data block and a sent pulse formula which was of the screw error compensation was deduced based on the test data .The test result showed that the screw drive error can be controlled within the specified range effectively and that the net car would park in the setting location by this way.

Abstract: Targeting at the nonlinear, time-varying characteristics of terrain detector-milling cutting depth electro-hydraulic servo system in soil milling collection machines, this paper proposed the PID control menthod in BP neural network of terrain detector - milling cutting depth system and designed PID controller in BP neural network and conducted simulation analysis by programming with Matlab. The results show that, when compared with conventional PID control, BP neural network compounded with PID control would enable the system better dynamic performance and follow-up characteristics, therefore, it is an effective control strategy.

Abstract: As an important section in powertrain system, the clutch control strategy directly impacted vehicle ride comfort. In this paper, the design scheme of electro hydraulic control system was composed and simulation analysis was conducted by AMESim software. The system parameters were optimized according to genetic algorithm. Series progress of control system design, analyzation and optimization were completely demonstrated.

Abstract: The parallel connection of multiple power supplies generates output current only depended on the highest power voltage because of the unmatched precision of output voltage and imbalance output power. On account of lacking an appropriate way to solve that current problem presently, this paper presents a multiple power sources control method based on fuzzy control. According to the output voltage error and its change rate of each power source, this method modulates PWM by fuzzy control to keep each voltage conversion circuit share the same output voltage. So the output current of power multiple sources is equal to the sum of multiple power current, make the available power supply at the same time, solve the countercurrent and output current offered by the supreme power supply voltage, increase the energy utilization.

Abstract: The driving style comprehensive identification method based on the entropy theory is presented. The error and error proportion of each identification result are calculated. The entropy and the variation degree of the identification error of each identification method are calculated based on the definition of information entropy. According to the entropy and the variation degree of the identification error, the weight of each kind of identification method can be determined in the comprehensive identification method, and the driving style comprehensive identification algorithm is derived. The control strategy of hybrid electric vehicles based on the driving style identification is proposed. The economic control strategy and dynamic control strategy are established. Depending on the results of driving style identification, aiming at different kinds of drivers, the mode of control strategies can be adjusted, so the demands of different kinds of drivers can be satisfied. The hybrid electric vehicle simulation model and control strategy model are built, and the simulations have been done. Due to the simulation results, the drivers’ intention comprehensive identification method based on the entropy theory is proved to represent the driver’s driving style systematically and comprehensively, and the hybrid electric vehicle control strategy based on the driving style identification can make the vehicles satisfy different drivers’ demands.

Abstract: The torque ripple of torque motor has serious influence over control accuracy of electro-optical tracking servo turntable. In response to this defect, an adaptive backstepping sliding mode control algorithm was proposed. Firstly, the mechanism of torque ripple was analyzed, and the math model of which was set up. Then, based on the model of whole servo system, the sliding mode control and backstepping algorithm were combined to design adaptive backstepping sliding mode (ABSM) controller. Finally, a simulation experiment was finished to with compare control performance of ABSM controller and PID controller. The simulation results show that, compared with the control accuracy of the PID controller, ABSM controller enhances the robustness of system, and approves control accuracy of servo turntable evidently.

Abstract: Direct drive electro-hydraulic actuator is a new type of hydraulic transmission with easy maintenance and high efficiency, which has been widely used in municipal engineering (such as water pipe network, gas pipe network), nuclear power plants, and other occasions. For these applications, we designed the electro-hydraulic valve actuator based on Internet of things technology (IOT for short). This paper introduces the mechanical structure and the working principle of the direct-drive electro-hydraulic valve actuator, analyzes IOT architecture. Detailed design was carried on according to the IOT architecture and related experiments have been done. The actuator can automatically, accurately control valve opening, be monitored by PC remotely, display device real-time information through LCD and be operated by touch screen.

Abstract: The properties of hydraulic driving are good speed-load characteristics, anti-forward rushing and accurate positioning at any location. While the properties of pneumatic driving are clean, efficient, fast. All the advantages of hydraulic and pneumatic driving can be combined in Pneumatic-hydraulic intensifier. So it is widely used in varies fields. Its very important to control the position of Pneumatic-hydraulic intensifier. In this paper, a Fuzzy self-tuning PID controller was designed and simulation experiment was done. Simulation results show that the controller performs well.