Coupling Leveling Control Based on Fuzzy PID for Synchronous Loading System of Load‐Bearing Test Bed

Zuo, Duquan; Qian, Lixia; Yang, Tianen; Cui, Xiaojin; Luo, Qiang

doi:10.1049/cje.2017.07.016

Cited by 11 publications

(11 citation statements)

References 7 publications

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“…The HR detection module uses the pulse sensor photoelectric volume method to detect the HR. This method of HR measurement is based on a photoelectric technology, that is, when the light of a certain wavelength is irradiated to the object, the amount of light absorption is proportional to the concentration of the object [6]. The absorption and reflection of light intensity of a fixed wavelength to the surface of the skin (such as the fingertips, toes, earlobe or wrist) of a fixed wavelength is used to measure the life characteristics of the human body.…”

Section: Function and Structurementioning

confidence: 99%

“…It can be seen from the practical operation experience of a large number of control engineering experts that the nonlinear relationship between the three parameters of the PID controller and the system deviation e(t) (expressed in e.) and the change rate of deviation de(t)/dt (expressed in ec.) cannot be described by explicit mathematical expression, but this qualitative relationship can be expressed by fuzzy language [6,7]:…”

Section: Control Algorithm For Dripping Speed Adjustmentmentioning

confidence: 99%

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Intelligent infusion controller with a physiological information feedback function

Pengfei

Yongxin

et al. 2020

THC

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BACKGROUND: In hospitals, some problems still exist, such as transfusion reaction that cannot be dealt with in time, medical staff cannot observe the physiological information of the infusion patients in real time, and the infusion speed cannot be controlled smartly. OBJECTIVE: To address these problems, we propose a method for intelligent monitoring and designed a controller for dripping speed regulation. METHODS: A photoelectric sensor was used to obtain the heart rate (HR) information, and a PID parameter self-tuning controller based on the fuzzy control principle was developed to establish a multi-stage adaptive control method based on HR feedback. By controlling the rotation of the motor to drive the cam to control the drip rate smartly. Also, the infusion and physiological information are transmitted to the nurse station to monitor the possible transfusion reaction. RESULTS: The experiments show that the intelligent infusion controller can achieve HR signal detection with an average accuracy of over 94%, dripping speed detection and adjustment with an average accuracy of above 98% and adjustment time within 35 seconds. CONCLUSION: Our study proved that the intelligent infusion controller can control the infusion process intelligently and effectively, and has excellent reliability, small steady-state error and high practical value.

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Section: Function and Structurementioning

confidence: 99%

Section: Control Algorithm For Dripping Speed Adjustmentmentioning

confidence: 99%

Intelligent infusion controller with a physiological information feedback function

Pengfei

Yongxin

et al. 2020

THC

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show abstract

“…Let = [ ] be the coordinate vector of the lower hinge point Pi(i=1, 2,3,4,5,6) of the hydraulic cylinder in Op-XYZ. Then, the coordinate vector matrix of the lower hinge point in Op-XYZ can be described as:…”

Section: Spatial Postures and Positionsmentioning

confidence: 99%

“…Therefore, the agricultural machinery should be levelled continuously during its operations in mountainous regions. To realize automatic levelling, it is necessary to detect the inclination angle of the machinery in the stationary state, calculate the amount of adjustment for chassis leveling, and integrate various mechanical, electronic, and hydraulic techniques [6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Simulation Analysis of a Self-balancing Hydraulic Platform for Agricultural Machinery in Mountainous Regions

Chen¹,

Ou²,

Fang³

et al. 2020

JESA

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In mountainous regions, agricultural machinery is prone to bumping and jostling, which affects the operational accuracy and even causes accidents like rollovers. To solve these problems, this paper designs a self-balancing hydraulic platform for agricultural machinery to apply pesticide in mountainous regions. Based on MATLAB and Adams, the kinematics and dynamics of the proposed platform were simulated and analyzed in details. The kinematic simulation proves the stability of the platform and the rationality of the design parameters. Through dynamic simulation, the dynamic stress states of key components, such as cylinders and ball hinges, were identified, and the stiffness and strength of the relevant components were calculated. The simulation results further verify the validity of the platform design. On this basis, a physical prototype of the platform was designed and tested at ten different slopes. The test results indicate that that the platform completed leveling in 0.514s. During the levelling, the mean error and the maximum root mean square error peaked at 1.42° and 0.293°, respectively. The errors fall within the allowable range specified in the relevant national standard. Therefore, our platform has a high leveling accuracy and basically meets operational requirements. This research offers a desirable solution to the self-balancing of agricultural machinery operating in mountainous regions.

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“…It is an effective way to improve the performance of the linear servo system [10]. In the current linear motor control applications, although PID control is still the mainstream control strategy [11–14], the research, development and application of fuzzy technology have proved that the fuzzy PID compound control can make the linear motor control get better servo dynamic characteristics [15–18].…”

Section: Introductionmentioning

confidence: 99%

Research on dual‐mode switching fuzzy PID servo algorithm based on micro‐linear motor

Sun

Deng

et al. 2019

J. eng.

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Coupling Leveling Control Based on Fuzzy PID for Synchronous Loading System of Load‐Bearing Test Bed

Cited by 11 publications

References 7 publications

Intelligent infusion controller with a physiological information feedback function

Intelligent infusion controller with a physiological information feedback function

Simulation Analysis of a Self-balancing Hydraulic Platform for Agricultural Machinery in Mountainous Regions

Research on dual‐mode switching fuzzy PID servo algorithm based on micro‐linear motor

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