scholarly journals Practical Control Method for Two-Mass Rotary Point-To-Point Positioning Systems

10.5772/32370 ◽  
2012 ◽  
Author(s):  
Fitri Yakub ◽  
Rini Akmeliawati ◽  
Aminudin Abu
Keyword(s):  
Control Method ◽  
Positioning Systems ◽  
Point Positioning ◽  
Point To Point

Implementation of Intelligent Control System for Autonomous Underwater Vehicle

2014 ◽  
Vol 701-702 ◽  
pp. 704-710 ◽  
Author(s):  
Viacheslav Pshikhopov ◽  
Yuriy Chernukhin ◽  
Viktor Guzik ◽  
Mikhail Medvedev ◽  
Boris Gurenko ◽  
...  
Keyword(s):  
Control System ◽  
Motion Control ◽  
Intelligent Control ◽  
Autonomous Underwater Vehicle ◽  
Control Method ◽  
Underwater Vehicle ◽  
Intelligent Control System ◽  
Azov Sea ◽  
Complex Simulation ◽  
Point To Point

This paper introduces the implementation of intelligent motion control and planning for autonomous underwater vehicle (AUV). Previously developed control system features intelligent motion control and planning subsystem, based on artificial neural networks. It allows detecting and avoiding moving obstacles in front of the AUV. The motion control subsystem uses position-trajectory control method to position AUV, move from point to point and along given path with given speed. Control system was tested in the multi-module simulation complex. Simulation showed good results – AUV successfully achieved given goals avoiding collisions not only with static obstacles, but also with mobile ones. That allows using the proposed control system for the groups of vehicles. Besides simulation, control system was implemented in hardware. AUV prototype passed tests in Azov Sea and proved its efficiency.

Adaptive Identification and Control of Hysteresis in Piezoelectric Actuators

2014 ◽  
Vol 625 ◽  
pp. 129-133
Author(s):  
Xue Song Chen ◽  
Xin Chen ◽  
Xin Du Chen ◽  
Ming Sheng Yang
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Control Method ◽  
Hysteresis Effect ◽  
Hammerstein Model ◽  
Small Displacement ◽  
Precision Positioning ◽  
Positioning Systems ◽  
Hysteresis Nonlinearity ◽  
Fuzzy Control Algorithm

Smart actuators, such as piezoceramic actuators, magnetostrictive actuators, and shape memory alloy actuators are widely used in applications of micrositioning and vibration control. Piezoelectric (PZT) actuators having the characteristic of infinitely small displacement resolution are popularly applied as actuators in precision positioning systems. However, the tracking control accuracy of the precision positioning systems is difficultly achieved because of its nonlinear hysteresis effect. Hence, it is important to take hysteresis effect into consideration for improving the trajectory tracking performance. In this paper, in order to capture the hysteresis nonlinearity in the PZT actuators, the Hammerstein model is put to use. The fuzzy control algorithm is used to identify the weighing values. The adaptive inverse controller based on adaptive fuzzy inference is used to track the PZT actuator. We firstly identify the weighting values of the Hammerstein model in situ using the multi-mode fuzzy control algorithm based on the error between reference displacement and actual displacement of the actuator, and then calculate the weighting values and threshold values of the Hammerstein model. Finally, we obtain the feed-forward input voltage. The stability of the controller in the presence of the estimated state is demonstrated. The experimental results show the performance is effectively improved under the intelligent control method.

Data Center Protection Problems in the Zombie Network

2015 ◽  
Vol 727-728 ◽  
pp. 948-950
Author(s):  
Lei Sun ◽  
Wei Du ◽  
Na Che
Keyword(s):  
Data Center ◽  
Safety Management ◽  
Control Method ◽  
High Strength ◽  
Point Of View ◽  
Protection System ◽  
Communication Process ◽  
Network Protection ◽  
Communication Method ◽  
Point To Point

With the development of the Botnet, new botnets use the peer-to-peer (P2P) protocol (such as for eMule download) appear, which have brought great challenges in detecting and preventing of botnet in the data center.27100Point to point protocol uses more decentralized control method, so information between each node can be shared, and each node has the function of connecting and recovering, which leads to that the class of Botnet is hard to be closed. In the protection of Botnet the data center also found that there are more and more botnet uses the high strength encryption technology after implanting into hosting, which makes the application layer information of the whole communication process be invisible to zombie network protection system for data centers , resulting in many missing events on the recognition and Influences the safety management effect. The specific point of view, point to point protocol and communication method based on encryption led to the that a data center in the botnet protection system is difficult to deal with effectively

scholarly journals Multi-frequency method of control for eddy current thickness measurement

2019 ◽  
Vol 64 (1) ◽  
pp. 118-126
Author(s):  
A. V. Chernyshev ◽  
I. E. Zagorskiy ◽  
V. I. Sharando
Keyword(s):  
Eddy Current ◽  
Coating Thickness ◽  
Control Method ◽  
Experimental Studies ◽  
Thickness Measurement ◽  
Coating Material ◽  
Electromagnetic Parameters ◽  
Specific Electric Conductivity ◽  
Frequency Method ◽  
Point To Point

When eddy-current thickness measurement is carried out, one of the disturbing factors leading to an error in determining the thickness of the conductive coating on a conducting ferromagnetic or non-ferromagnetic substrate are the variations of the electromagnetic parameters of the coating and the substrate observed when the transducer moves from point to point along the surface of the controlled product, when moving from one product to another, at presence of  heat treatment or other thermal effects on the controlled product after coating. The paper presents the results of experimental studies of the influence of variations in the electromagnetic parameters of a conducting ferromagnetic substrate on the phase of the emf, introduced into the superimposed transducer. It is shown, when the minimum influence of such variations on the specified phase is achieved. As a result, it was suggested to use the multi-frequency method to reduce the influence of variations of electromagnetic parameters on the accuracy of determining the coating thickness during application of the phase control method. It consists in the fact that the frequency of the excitation current of the transducer, mounted on the monitored product, is discretely reduced from a certain maximum to a certain minimum frequency during measurements. At the high frequency, the specific electric conductivity of the coating material is taken into account, with decreasing frequency, such a value is determined when the electromagnetic parameters of the substrate begin to affect the phase formation. Then, using the calibration curve obtained from samples from the same coating material and substrate as the controlled article and having a known coating thickness, the desired coating thickness on the product to be tested is determined.

scholarly journals A New Path Tracking Method Based on Multilayer Model Predictive Control

2019 ◽  
Vol 9 (13) ◽  
pp. 2649 ◽  
Author(s):  
Guoxing Bai ◽  
Yu Meng ◽  
Li Liu ◽  
Weidong Luo ◽  
Qing Gu ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Control Method ◽  
Control Period ◽  
Path Tracking ◽  
Positioning Systems ◽  
The Real ◽  
Time Performance ◽  
Tracking Controllers

At present, many path tracking controllers are unable to actively adjust the longitudinal velocity according to path information, such as the radius of the curve, to further improve tracking accuracy. For this problem, we propose a new path tracking framework based on model predictive control (MPC). This is a multilayer control system that includes three path tracking controllers with fixed velocities and a velocity decision controller. This new control method is named multilayer MPC. This new control method is compared to other control methods through simulation. In this paper, the maximum values of the displacement error and the heading error of multilayer MPC are 92.92% and 77.02%, respectively, smaller than those of nonlinear MPC. The real-time performance of multilayer MPC is very good, and parallel computation can further improve the real-time performance of this control method. In simulation results, the calculation time of multilayer MPC in each control period does not exceed 0.0130 s, which is much smaller than the control period. In addition, when the error of positioning systems is at the centimeter level, the performance of multilayer MPC is still good.

Sign in / Sign up

Export Citation Format

Share Document