A real-time robust method of system error registration based on the sorting of doubly linked list

Author(s):  
Xu Zhang ◽  
Hong Liu ◽  
Jiangong Wang ◽  
Haidong Wu ◽  
Feng Li ◽  
...  
2012 ◽  
Vol 152-154 ◽  
pp. 1276-1280
Author(s):  
Chang Song Qi ◽  
Hong Jun Pan ◽  
Yan Le Wang

To enhance the accuracy of stabilization, this paper presents a design of two-axis horizontal stabilization platform system, which is based on the combination of gyroscope and inclinometer sensors. The self-correction control method is put forward to solve the system error caused by gyroscope zero drift in traditional gyro stabilized platform, which works in the way of revising the gyroscope zero coefficient, according to the real-time attitude information feed backed by inclinometer sensors fixed in objective platform.


Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2761 ◽  
Author(s):  
Guanwen Huang ◽  
Zhiwei Qin ◽  
Qin Zhang ◽  
Le Wang ◽  
Xingyuan Yan ◽  
...  

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142093204
Author(s):  
Jingyu Sun ◽  
Yanjun Liu ◽  
Chen Ji

To address the Jacobian matrix approximation error, which usually exists in the iterative solving process of the classic singular robust inverse method, the correction coefficient α is introduced, and the improved singular robust inverse method is the result. On this basis, the constant improved singular robust method and the intelligent improved singular robust inverse method are proposed. In addition, a new scheme, combining particle swarm optimization and artificial neural network training, is applied to obtain real-time parameters. The stability of the proposed methods is verified according to the Lyapunov stability criteria, and the effectiveness is verified in the application examples of spatial linear and curve trajectories with a seven-axis manipulator. The simulation results show that the improved singular robust inverse method has better optimization performance and stability. In the allowable range, the terminal error is smallest, and there is no lasting oscillation or large amplitude. The least singular value is largest, and the joint angular velocity is smallest, exactly as expected. The derivative of the Lyapunov function is negative definite. Comparing the two extended methods, the constant improved singular robust method performs better in terms of joint angular velocity and least singular value optimization, and the intelligent improved singular robust inverse method can achieve a smaller terminal error. There is little difference between their overall optimization effects. However, the adaptability of the real-time parameters makes the intelligent improved singular robust inverse method the first choice for kinematic control of redundant serial manipulators.


2019 ◽  
Vol 10 (2) ◽  
pp. 17
Author(s):  
Haryono Haryono ◽  
Agfianto Eko Putra ◽  
Jazi Eko Istiyanto ◽  
Agus Harjoko

The satellite requires the support of a robust sub system. On Board Data Handling (OBDH) is the core function of the satellite subsystem and has to be error free in managing the operation of the satellite. It should withstand the harsh environmental conditions in space that has a lot of hazards caused by radiations. In view of these two conditions, the OBDH design should be able to manage the operation and overcome the hazards of radiation. In order to manage the operation Real Time Operating System (RTOS) was applied. RTOS was able to manage the task efficiently and effectively. In the aerospace domain, RTOS has become popular because of its strength in managing the operating system. Error Detection and Correction System (EDAC) system was applied to make OBDH more robust. This paper discusses the implementation of the EDAC system in tandem with the RTOS behaviour to manage the operation and increase the robustness of the system. The findings show that OBDH can be programmed successfully using RTOS to handle critical and robust operations.


2021 ◽  
Vol 2021 (8) ◽  
pp. 268-1-268-7
Author(s):  
Yang Cheng ◽  
Qian Lin ◽  
Jan Allebach

Heart rate, the speed of the heartbeat, has been regarded as one of the most important measurements to evaluate one’s health. It can be used to measure one’s anxiety, stress and illness; abnormalities of heart rate usually indicate potential disease one may have. Recent studies have shown that it is possible to directly measure the heart rate from a sequence of images that contain a person’s face. Requiring only a webcam, this method largely simplifies the process of traditional methods, which require the use of a pulse oximeter attached to the fingertip to measure the PPG signal, or electrodes placed on the skin to measure the ECG signal. However, this most recent method, though attracting a lot of interest, still suffers from sudden movement of the head, or turning away from the camera. In this paper, we propose a novel robust method of generating reliable PPG signals and measuring the heart rate from only face videos in real time, which is invariant to the movement of the head. We have also conducted studies on how different factors, light conditions, the angle of the head and the distance of the head away from the camera, could affect the predictions of the heart rate. After conducting a thorough analysis, we can conclude that our method succeeds in producing accurate, robust and promising results.


2013 ◽  
Vol 760-762 ◽  
pp. 2162-2166
Author(s):  
Pei Yu ◽  
Gong Liu Yang

The inertial navigation system error caused by sea current and log error greatly oscillates. In order to evaluate the effectiveness of damping attitude, the vehicles movement should be detected in real-time. For this reason, a novel adaptive level damped algorithm was presented in this paper. According to the characteristics of the movement of the ship, this algorithm has determined when to turn into the damp loop according to the change of acceleration. Theoretical analysis and Simulations results show that the adaptive level damped algorithm could damp most of the Schuler and Foucault oscillations period, and efficiently improve the precision of the PINS on ships.


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