The multi-axis motion control strategy of the multi-functional support mechanism for the wind tunnel

2015 ◽  
Author(s):  
Qiang Luo ◽  
Chang Liu
Keyword(s):  
Wind Tunnel ◽  
Motion Control ◽  
Control Strategy ◽  
Support Mechanism ◽  
Functional Support

A Control Strategy for Continuously Adjusting Attack Angle in Wind Tunnel Experiments

2014 ◽  
Vol 945-949 ◽  
pp. 1632-1636
Author(s):  
Shuang Xi Zhang ◽  
Wen Gai ◽  
Wei Hua Chu ◽  
Nian Liu
Keyword(s):  
Wind Tunnel ◽  
Control Strategy ◽  
Hydraulic System ◽  
External Disturbance ◽  
Attack Angle ◽  
Model Parameters ◽  
Velocity Control ◽  
Wind Tunnel Experiments ◽  
Support Mechanism ◽  
Test Platform

In wind tunnel experiments, in order to adjust the attack angle continuously, the support mechanism movement should be steady and smooth. However, the electro-hydraulic servo system is a typical nonlinear, time-varying and uncertainty system, and the wind tunnel environment is very complicated. To address these problems, an on-line identification and generalized predictive control (GPC) strategy is proposed in this study. Firstly, the Labview and AMESim are integrated to build an electro-hydraulic system simulation model. Secondly, the controlled auto-regressive moving average (CARIMA) model of the electro-hydraulic system is developed. Thirdly, the influence on the system performance owing to the control parameters, model parameters, and external disturbance are widely discussed and deeply analyzed. At last, a test platform is constructed with the National Instruments (NI) embedded real time technology. The proposed control strategy is tested and verified on this test platform. The experimental results show that the angular velocity control precision reaches 0.01°/s. It implies that this control strategy has a good performance for nonlinear velocity control. Thus it satisfies the requirement of the continuously adjusting attack angle in wind tunnel experiments.

HIL Testbed and Motion Control Strategy for the Hybrid Hydraulic-Electric Architecture (HHEA)

2021 ◽  
Author(s):  
Arpan Chatterjee ◽  
Perry Y. Li
Keyword(s):  
Motion Control ◽  
Control Strategy ◽  
Control Strategies ◽  
Electric Machines ◽  
Hardware In The Loop ◽  
System Efficiency ◽  
Electric Motors ◽  
Test Bed ◽  
Road Vehicles ◽  
Precise Control

Abstract The Hybrid Hydraulic-Electric Architecture (HHEA) was proposed in recent years to increase system efficiency of high power mobile machines and to reap the benefits of electrification without the need for large electric machines. It uses a set of common pressure rails to provide the majority of power hydraulically and small electric motors to modulate that power for precise control. This paper presents the development of a Hardware-in-the-loop (HIL) test-bed for testing motion control strategies for the HHEA. Precise motion control is important for off-road vehicles whose utility requires the machine being dexterous and performing tasks exactly as commanded. Motion control for the HHEA is challenging due to its intrinsic use of discrete pressure rail switches to minimize system efficiency or to keep the system within the torque capabilities of the electric motor. The motion control strategy utilizes two different controllers: a nominal passivity based back-stepping controller used in between pressure rail switches and a transition controller used to handle the event of a pressure rail switch. In this paper, the performance of the nominal control under various nominal and rail switching scenarios is experimentally evaluated on the HIL testbed.

Cross-Coupled Adaptive Feedrate Control for Multiaxis Machine Tools

1991 ◽  
Vol 113 (3) ◽  
pp. 451-457 ◽  
Author(s):  
Hua-Yi Chuang ◽  
Chang-Huan Liu
Keyword(s):  
Computer Simulation ◽  
Control System ◽  
Motion Control ◽  
Control Strategy ◽  
Machine Tools ◽  
Feedback Loop ◽  
Contour Error ◽  
Coupled Motion ◽  
Contouring Accuracy ◽  
Perturbed Model

Cross-coupled controllers have been proposed for improving contouring accuracy of multiaxis machine tools. However, during cross-coupled motion control, increasing contour feedrate may result in larger contour errors. In order to increase feedrate and hence productivity without sacrificing the contouring performance, this paper presents an adapative feedrate control strategy based on a linear perturbed model. The method effectively closes the feedback loop between the contour error and feedrate. An experimental biaxial control system is constructed to implement the proposed strategy. Both computer simulation and experiments have verified that desired contouring accuracy can be achieved.

Motion Analysis of Human Lifting Works with Heavy Objects

2005 ◽  
Vol 17 (6) ◽  
pp. 628-635 ◽  
Author(s):  
Nobutomo Matsunaga ◽  
◽  
Shigeyasu Kawaji
Keyword(s):  
Motion Control ◽  
Motion Analysis ◽  
Real World ◽  
Control Strategy ◽  
Robot Control ◽  
Autonomous Robots ◽  
Biped Robot ◽  
Weight Lifting ◽  
The Real ◽  
Lower Back

Advances in robot development involves autonomous work in the real world, where robots may lift or carry heavy objects. Motion control of autonomous robots is an important issue, in which configurations and motion differ depending on the robot and the object. Isaka et al. analyzed that lifting configuration is important in realizing efficient lifting minimizing the burden on the lower back, but their analysis was limited to weight lifting of a fixed object. Biped robot control requires analyzing different lifting in diverse situations. Thus, motion analysis is important in clarifying control strategy. We analyzed dynamics of human lifting of barbells in different situations, and found that lifting can be divided into four motions.

EEG control variable algorithm and motion control strategy for toy rail car

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Xiaokang Wang ◽  
Jzau Sheng Lin ◽  
Mei Wang ◽  
Hongguang Pan
Keyword(s):  
Motion Control ◽  
Control Strategy ◽  
Control Variable
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