Sensor Fault Diagnosis and Fault Tolerant Control for Forklift Based on Sliding Mode Theory

Zhang, Zhilu; Xiao, Biao

doi:10.1109/access.2020.2991188

Cited by 11 publications

(8 citation statements)

References 20 publications

(19 reference statements)

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“…observations and in-clinometry during the working day have the potential tobe a valuable part of risk assessment promoting occupational safety and health. In [7], the authors have concentrated on fault diagnosis strategies. Forklifts, being one of the most widely used vehicles for transportation in short distance of cargo, also its safety is very important.…”

Section: Changes In Forklift and Pallet Recognition Systemsmentioning

confidence: 99%

Pallet Recognition for Forklift: A Literature Review

Pawar¹,

Sande²,

Kondalkar³

et al. 2023

IJRASET

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Forklift trucks are essential tools for manual pallet handling. Storage heights at high rack storage areas often reach up to 12 meters in which bulky Cargo can hide the view of forklift operator. Pallet recognition is afundamental issue for Industries & warehouses, Particularly, a pallet recognition approach is presented to recognize pallets in the warehouses, based on calculating the degree of similarity at each location of the palette. Once a pallet has been recognized, it is matched that data with stored data. Transporting and handling pallets in a storage area is the essential function of a forklift truck. The view of the forklift truck driver is limited during his work by the lift pole, the fork, and the roof of the forklift truck. If a pallet is loaded the view is additionally hindered by its load. When the storage rack is not at a ground level or near to it the pallet handling becomes more difficult because of the distance between the forklift truck driver and the storage rack. To support the forklift truck driver during his work, there is need to advance theforklifts with different technologies and systems which provide diversity in Working and safety, security for forklift operator and other workers. This paper shows various results from research on different pallet recognition and forklift operation systems.

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Section: Changes In Forklift and Pallet Recognition Systemsmentioning

confidence: 99%

Pallet Recognition for Forklift: A Literature Review

Pawar¹,

Sande²,

Kondalkar³

et al. 2023

IJRASET

View full text Add to dashboard Cite

show abstract

“…Different from previous studies that only concern one aspect [24], we propose a robust strong tracking unscented Kalman filter with unknown inputs (RSTUKF‐UI) for state estimation on non‐linear systems. Main contributions of this paper are as follows: When dealing with the problem of state estimation with unknown inputs, compared with the linear equation of state modelling [25–31], we establish the non‐linear system equation with unknown inputs. Non‐linear system equations can describe system objects with unknown inputs more accurately and are more complex to deal with. The multiple suboptimal fading factor is derived in accordance with the orthogonal principle of the innovation residual sequence and the estimated unknown inputs.…”

Section: Introductionmentioning

confidence: 99%

“…1. When dealing with the problem of state estimation with unknown inputs, compared with the linear equation of state modelling [25][26][27][28][29][30][31], we establish the non-linear system equation with unknown inputs. Non-linear system equations can describe system objects with unknown inputs more accurately and are more complex to deal with.…”

mentioning

confidence: 99%

Robust strong tracking unscented Kalman filter for non‐linear systems with unknown inputs

Liu

Guan

Jiang

et al. 2022

IET Signal Processing

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This paper proposes a state estimation approach ‘robust strong tracking unscented Kalman filter with unknown inputs’ that can be applied to non‐linear systems with unknown inputs. Specifically, the non‐linear state and measurement equations are linearised by statistical linearisation. Then, the estimation equation of the unknown input is derived based on the weighted least squares method. The multiple suboptimal fading factor is introduced into a priori error covariance matrix to improve the tracking ability for the inaccuracy of the system model and the abrupt change of state variables caused by unknown inputs. Finally, based on the unbiased minimum variance estimation, the unbiased state estimation and the error covariance matrix are derived. Singular value decomposition is performed on the error covariance matrix to improve the stability of the algorithm. Simulated results validate the effectiveness of the proposed method.

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“…Therefore, the fault diagnosis and fault-tolerant control of sensors are of great practical and application value for improving the safety and reliability of industrial systems during operation. Scholars at home and abroad have conducted extensive research on sensor fault diagnosis and fault tolerance control [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Diagnosis and Fault-Tolerant Control of a Sensor Single Fault Based on a Data-Driven Feedforward-Feedback Control System

Zan

Gao

et al. 2022

Processes

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Fault diagnosis is studied based on the system type, which facilitates the realization of the engineering configuration and improves the diagnosis efficiency. The fault-tolerant control method is unified based on the concept of fault compensation. According to the dynamic characteristics of the system, the method takes the boundary value of no-fault signal fluctuation as the basis for fault detection, then takes the changing intensity of the solenoid valve control signal after the fault occurs as the fault location basis. Finally, it takes the difference or ratio of the signals before and after the fault occurs as the fault estimation. For the basis of fault separation, the integral value of the fitting equation between the fault signal and time is used as the Eigenvalue of fault type separation to comprehend fault separation. A program is written in C++ and combined with MATLAB/S-Fun function to realize fault tolerance. At the same time, the dynamic model calibration and real-time fault diagnosis, and fault-tolerant control process of sensor fault diagnosis are provided, which makes it suitable for general engineering feedforward-feedback systems and has a certain suppression effect on noise. The simulation results verify that the method is not only viable and it is exact.

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Sensor Fault Diagnosis and Fault Tolerant Control for Forklift Based on Sliding Mode Theory

Cited by 11 publications

References 20 publications

Pallet Recognition for Forklift: A Literature Review

Pallet Recognition for Forklift: A Literature Review

Robust strong tracking unscented Kalman filter for non‐linear systems with unknown inputs

Real-Time Diagnosis and Fault-Tolerant Control of a Sensor Single Fault Based on a Data-Driven Feedforward-Feedback Control System

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