A GPU-based tool parameters optimization and tool orientation control method for four-axis milling with ball-end cutter

2018 ◽  
Vol 102 (5-8) ◽  
pp. 1107-1125 ◽  
Author(s):  
Jing Wang ◽  
Dinghua Zhang ◽  
Ming Luo ◽  
Ying Zhang
2014 ◽  
Vol 672-674 ◽  
pp. 1329-1335 ◽  
Author(s):  
Zhong Wen Li ◽  
Chuan Zhi Zang ◽  
Peng Zeng ◽  
Hai Bin Yu ◽  
He Peng Li

Microgrids are attracting a great deal of attention as integrated renewable energy resource can benefit both the utility and the customers. The droop-control method is popular for the microgrid stable operation as it avoids circulating currents among the converters without using any critical communication between them. The distributed generators should have high speed to follow the reference given by the droop controller, otherwise the system will fluctuate and even black out. Renewable energy powered Distributed Generators (DGs) are mostly inverter-interfaced and controlled by PI controllers. The Particle Swarm Optimization (PSO) was used to optimize the PI parameters with the objective of high tracking speed of the Inverter-interfaced DGs. Simulation studies in Matlab demonstrate the effectiveness of the optimized control parameters.


2013 ◽  
Vol 368-370 ◽  
pp. 1596-1599
Author(s):  
Ting Cai ◽  
Xun An Zhang ◽  
Xiang Jun Qin ◽  
Ping Jiao ◽  
Rong Gang Xue

Mega-sub controlled structure (MSCS) is a new structural configuration presented recently and has received widespread attention . To further improve the structural control effectiveness of MSCS, in this paper, a new hybrid control method is proposed which employ active control and adjust the stiffness of substructure together to form a huge hybrid controlled system based on the particular conformation characteristic of MSCS. The control law and dynamic equation to assembling parameter matrixes for the MSCS subjected to horizontal seismic excitation are presented. The result indicates that, compared with the corresponding status without actuators, the new structure employing hybrid control method proposed in this paper has the ability to develop a high level of response control effectiveness when subjected to seismic excitations and does significantly further reduce the responses of structure; a much better control effectiveness will be obtained after parameters optimization.


2014 ◽  
Vol 625 ◽  
pp. 717-721 ◽  
Author(s):  
Qin Zhang ◽  
Jian Hua Wang ◽  
Wei Jun Huang ◽  
Hisayuki Aoyama

The adjustment of cell position and orientation is important in cell micromanipulation of bioengineering, which directly affects the efficiency and success ratio of the micromanipulation. Cell orientation can be adjusted by swirl, which comes from a pair of parallel opposite micro-fluids from two tiny tubes, and the cell in swirl center will rotate. Quantitative control of rotation angle and velocity of the cell can be achieved by adjusting the velocity and frequency of micro-fluid. This control method of cell orientation has prospective applications for its non-contact characteristics. However, cell will not be right in the swirl center in practical operations. And if the eccentric cell can rotate steadily, swirl method will be more reliable. So numerical simulation was conducted to study the movement trajectory of cells with eccentricity, and the influences of eccentric directions and eccentric distances were discussed. The simulation results indicate the feasibility of orientation control of cells with eccentricity by swirl.


2021 ◽  
Vol 15 ◽  
Author(s):  
Qiubo Zhong ◽  
Yaoyun Li ◽  
Caiming Zheng ◽  
Tianyao Shen

The implementation of low-energy cooperative movements is one of the key technologies for the complex control of the movements of humanoid robots. A control method based on optimal parameters is adopted to optimize the energy consumption of the cooperative movements of two humanoid robots. A dynamic model that satisfies the cooperative movements is established, and the motion trajectory of two humanoid robots in the process of cooperative manipulation of objects is planned. By adopting the control method with optimal parameters, the parameters optimization of the energy consumption index function is performed and the stability judgment index of the robot in the movement process is satisfied. Finally, the effectiveness of the method is verified by simulations and experimentations.


2010 ◽  
Vol 447-448 ◽  
pp. 488-492 ◽  
Author(s):  
Toshitake Tateno ◽  
Akira Kakuta ◽  
Kotaro Okui

This paper deals with an orientation control method for micro objects, which have a size in the order of 100 micro meters, by using a board stage that is vibrated in the natural frequencies of various vibration modes. Orientation control is important for manufacturing processes, such as the assembling of small parts. Since it is difficult to grip and to manipulate micro objects, a simple and reliable method is desired. In this paper, the vibration mode is used for generating different motions of the stage and for controlling the orientation of the objects on the stage. Since each vibration mode has a unique vibration motion, different motions can be selected by choosing the vibration frequency. In order to design the stage so that the objects turn toward target direction, Finite Element Method (FEM) analysis was applied. And, the designed vibration stage was fabricated using a stainless steel thin plate. Experimental results showed that the actual vibration is similar with the simulation results. As an example of the orientation control of the micro objects, some small electronics parts were tested and they could be turned toward the target directions.


Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 146 ◽  
Author(s):  
Xiangsong Kong ◽  
Jiaming Guo ◽  
Dongbin Zheng ◽  
Ji Zhang ◽  
Wei Fu

Medium voltage insulators are essential and versatile components in electrical engineering. Quality control of the manufacturing process for the insulators has a significant role in their economic production and reliable operation. As the quality of medium voltage insulator is mainly affected by the process parameters of the automatic pressure gelation process (APG), the optimal process settings are required to achieve a satisfactory quality target. However, traditional process parameters’ optimization methods are often cumbersome and cost-consuming. Moreover, the operational cost of APG for insulator production is relatively high. Therefore, the determination of the optimal settings becomes a significant challenge for the quality control of insulators. To address the above issues, an idea of knowledge-informed optimization was proposed in this study. Based on the above idea, a knowledge-informed simultaneous perturbation stochastic approximation (SPSA) methodology was formulated to reduce the optimization costs, and thus improve the efficiency of quality control. Considering the characteristics of SPSA, the historical gradient approximations generated during the optimization process were utilized to improve the accuracy of gradient estimations and to tune the iteration step size adaptively. Therefore, an implementation of a quality control strategy of knowledge-informed SPSA based on historical gradient approximations (GK-SPSA) was thus constructed. In this paper, the GK-SPSA-based quality control method was applied to the weight control of a kind of post insulators. The experimental simulation results showed that the revised knowledge-informed SPSA was effective and efficient on quality control of medium voltage insulators.


2011 ◽  
Vol 361-363 ◽  
pp. 1795-1798
Author(s):  
Yang Cao ◽  
Zhan Shuang Hu ◽  
Wei Ping Zhao

The PID control is a popularly control method that used in control systems, which is still adopted in many practical application processes.This paper is based on the oringinal navigation aircraft longitudinal channels model,and discusses the setting of navigation autopilot longitudinal channels model in the PID controller parameters, using General Aviation Aircraft Longitudinal channels of PID control parameters optimization based on Genetic Algorithm.In contrast with the simulink7.1 simulation results of the longitudinal channel model, base on the thought of genetic algorithm and use MATLAB language program to get the parameters of the controller, adjusting the parameters to achieve the optimization of PID control parameters. The result of SIMULINK simulation: The PID controller which is designed by using the genetic algorithm is more adaptability, flexibility, and can guarantee the system control effect.


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