Fractional PID controller in an active image stabilization system for mitigating vibration effects in agricultural tractors

David, Sérgio Adriani; Sousa, Rafael Vieira de; Valentim, Carlos Alberto; Tabile, Rubens Andre; Machado, J. A. Tenreiro

doi:10.1016/j.compag.2016.11.001

Cited by 22 publications

(12 citation statements)

References 24 publications

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“…The oscillation measurements (roll, pitch, and yaw) showed a higher standard deviation (up to 59.71°) due to the sensitivity of the sensor, which allowed it to acquire data above and below the reference axis (0°). The acceleration in the z axis showed 3.99 and 4.84 m s −2 values for fields I and II, respectively, values which are considered common in the literature (David et al, 2016). The spectral power density showed a greater RMS in field I (225.24 dB).…”

Section: Quantification Of the Influence Of Vibration In The Datasetsupporting

confidence: 57%

A MEASUREMENT SYSTEM BASED ON LiDAR TECHNOLOGY TO CHARACTERIZE THE CANOPY OF SUGARCANE PLANTS

2019

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Laser sensor applications associated with LiDAR (Light Detection and Ranging) technology on platforms allow the evaluation of crop and forest biomass in a non-invasive way. This study presents the development of a measurement system based on LiDAR technology aimed at the proposed assessment of the height of sugarcane plants during the pre-harvest period. A laser sensor, a GNSS (Global Navigation Satellite System) receiver, and an inertial unit compose the measurement system. The equipment was integrated with a computer for data acquisition and installed on an agricultural tractor platform. The GNSS receiver with a real-time kinematic signal was synchronized to the laser sensor to obtain the point cloud and to the inertial unit to evaluate the intensity of the vibration from platform oscillation. Data acquisition was carried about 10 days before sugarcane harvest. The developed steps of acquisition and data processing enabled the generation of point clouds with a density of about 2,000 points m − ² and the extraction of metrics related to the height of sugarcane plants. The influence of vibration in the dataset was more significant in one of the experimental fields due the high-amplitude spectral power observed.

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Section: Quantification Of the Influence Of Vibration In The Datasetsupporting

confidence: 57%

A MEASUREMENT SYSTEM BASED ON LiDAR TECHNOLOGY TO CHARACTERIZE THE CANOPY OF SUGARCANE PLANTS

2019

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“…15 For active vibration suppression, some modern techniques are studied. Gasteratos 16 designed a fuzzy-gray controller, David et al 17 designed a fractional-order proportional-integral-derivative (PID) controller, and Zhao et al 18 presented a novel adaptive neural network based on sliding mode control strategy for image stabilization systems. In the field of the dynamic control of membranous structures, Renno et al 19 investigated nonlinear control techniques for a one-dimensional membrane strip with an attached piezoelectric ceramic transducer (PZT) bimorph.…”

Section: Introductionmentioning

confidence: 99%

Multiple-model switching control for vibration suppression of planar membrane structures

Liu

Huang

Liu

2019

Advances in Mechanical Engineering

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Membrane space structures have received widespread attention because of their small packaging volume and low mass. However, because membranes are very flexible and lightly damped, vibration suppression in membrane structures is very difficult. The objective of this study was to solve this problem. The first part of this article describes the influence of wrinkling in a membrane structure on the structure’s vibration characteristics. On this basis, the vibration deformations of a wrinkled square membrane structure were derived from the dynamic equations, and the correctness of this vibration model was verified by numerical simulation and experiment. A multi-model system is proposed to simulate the dynamic response of a membrane structure under different boundary conditions. In combination with the drive system, a multi-model switching control method based on adaptive and proportional–integral–derivative control is proposed. Under the initial disturbance, when the vibration amplitude dropped below 0.01 mm, the vibration duration was reduced to 2.96 s, compared with the duration of 12.37 s without control. The duration was shortened by approximately 39.7%, compared with the duration of 4.91 s achieved by the traditional proportional–integral–derivative control method, and by approximately 15.9% compared with the 3.52 s achieved by the out-plane control method. When there were multiple disturbances and the proposed method was used, the boundary displacement loadings did not increase when a certain value was exceeded. This prevented the breaking of the membrane by overstretching and provides a theoretical foundation for setting the initial pre-stress values.

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“…There are many improvement methods for PID, which are widely used and have good practical effects. The fractional order control system has attracted the attention of many scholars [4][5][6], and some of them have applied it to PID control to enhance the control effect [5][6][7][8][9]. Reference [7] utilized a fractional order controller to eliminate steady state error and enhance the robustness toward plant gain variations and also good disturbance rejection.…”

Section: Introductionmentioning

confidence: 99%

The Research of Improved Active Disturbance Rejection Control Algorithm for Particleboard Glue System Based on Neural Network State Observer

et al. 2019

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For achieving high-performance control for a particleboard glue mixing and dosing control system, which is a time-delay system in low frequency working conditions, an improved active disturbance rejection controller is proposed. In order to reduce overshoot caused by a given large change between the actual output and expected value of the control object, a tracking differentiator (TD) is used to arrange the appropriate excesses. Through the first-order approximation of the time-delay link, the time-delay system is transformed into an output feedback problem with unknown function. Using the neural network state observer (NNSO), a sliding mode control law is used to achieve the accurate and fast tracking of the output signal. Finally, the numerical simulation results verify the effectiveness and feasibility of the proposed method.

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Fractional PID controller in an active image stabilization system for mitigating vibration effects in agricultural tractors

Cited by 22 publications

References 24 publications

A MEASUREMENT SYSTEM BASED ON LiDAR TECHNOLOGY TO CHARACTERIZE THE CANOPY OF SUGARCANE PLANTS

A MEASUREMENT SYSTEM BASED ON LiDAR TECHNOLOGY TO CHARACTERIZE THE CANOPY OF SUGARCANE PLANTS

Multiple-model switching control for vibration suppression of planar membrane structures

The Research of Improved Active Disturbance Rejection Control Algorithm for Particleboard Glue System Based on Neural Network State Observer

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