A novel approach for the energy recovery and position control of a hybrid hydraulic excavator

Ranjan, Prabhat; Wrat, Gyan; Bhola, Mohit; Mishra, Surendra Kumar; Das, J. C.

doi:10.1016/j.isatra.2019.08.066

Cited by 37 publications

(11 citation statements)

References 25 publications

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“…accumulator [32,35,44,45,[47][48][49][50][51][52][53][54][55] Expensive with auxiliary components such as variable hydraulic motor or transformer Long pay-back time due to low energy regeneration and saving efficiencies.…”

Section: Swing Ers Usingmentioning

confidence: 99%

Developments in energy regeneration technologies for hydraulic excavators: A review

Cuong

Dang

Dinh

et al. 2021

Renewable and Sustainable Energy Reviews

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Section: Swing Ers Usingmentioning

confidence: 99%

Developments in energy regeneration technologies for hydraulic excavators: A review

Cuong

Dang

Dinh

et al. 2021

Renewable and Sustainable Energy Reviews

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“…Recent research on hydraulic excavators has focused on the study of energy recovery and utilisation in digging operations 15 , 16 the study of the energy saving characteristics of the boom and stick of the working device 17 , 18 the study of the energy consumption of hybrid excavators 19 , trajectory planning for excavator operations 20 , 21 , the study of automatic walking based on environmental recognition 22 and the study of intelligence in autonomous operations 23 , 24 . Based on the measured digging resistance, this paper analyzes its distribution law and force value characteristics, and selects a suitable digging attitude, based on the bucket and stick limit digging force model and compound digging force model, the theoretical digging force is solved, and the measured digging resistance is matched with the theoretical digging force in size, in order to get the representation degree of the theoretical digging force to the digging capacity.…”

Section: Introductionmentioning

confidence: 99%

Research on the matching characteristics of the theoretical digging force of a backhoe hydraulic excavator

Ren

Pang

et al. 2022

Sci Rep

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The theoretical digging force is the maximum digging resistance that an excavator can overcome, which is an important measure of its digging capacity. To study the matching of the digging capacity with the actual demand and the matching of the working device mechanism, a 36.5 t backhoe hydraulic excavator is used as an example to analyse the distributions of the digging resistance under two different normal digging area working conditions and the maximum digging resistance characteristics of the tool. An appropriate digging postures are selected, based on limit digging force and compound digging force models, the theoretical digging forces under the two working conditions are obtained and matched with the measured digging resistance force values and the limiting factors affecting the digging force. The results show that the average percentage of theoretical digging forces greater than the measured digging resistance under both calculation models is 84.06% rather than 100%. The results of different digging methods all indicate that small chamber locking of the boom cylinder is too often the limiting factor for the digging force, resulting in poor matching of the working device. This study provides guidance for the improvement of the theoretical digging force model and the evaluation of the matching characteristics of the working device.

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“…Hydraulic systems are widely applied in industry as actuators in hydraulic systems [1][2][3]. Internal leakage is a major failure mode caused by the wear of the piston seal that closes the gap between the movable piston and cylinder wall [4].…”

Section: Introductionmentioning

confidence: 99%

Internal Leakage Diagnosis of a Hydraulic Cylinder Based on Optimization DBN Using the CEEMDAN Technique

Zhang

Chen

2021

Shock and Vibration

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Internal leakage diagnosis in a hydraulic cylinder is a key technique for the maintenance of hydraulic systems. However, it is difficult to diagnose the internal leakage under different low loads. To solve this problem, a novel fault diagnosis method based on the optimization deep belief network (DBN) combined with the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) technique is proposed to treat the collected AE signals. The raw AE signals are decomposed into a set of intrinsic mode functions (IMFs) by using CEEMDAN. Subsequently, according to the decreasing order of the Pearson correlation coefficient values, the first five IMFs are selected for signal reconstruction to suppress the abnormal interference from noise. The reconstructed signals are regarded as the input of the optimization DBN, and the particle swarm optimization simulated annealing (PSOSA) algorithm is adopted to identify the four internal leakage levels. The experimental results show that the proposed method exhibits a higher classification accuracy than other methods under different low loads. This result validates the effectiveness and superiority of the proposed approach to realize internal leakage diagnoses under different low loads.

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A novel approach for the energy recovery and position control of a hybrid hydraulic excavator

Cited by 37 publications

References 25 publications

Developments in energy regeneration technologies for hydraulic excavators: A review

Developments in energy regeneration technologies for hydraulic excavators: A review

Research on the matching characteristics of the theoretical digging force of a backhoe hydraulic excavator

Internal Leakage Diagnosis of a Hydraulic Cylinder Based on Optimization DBN Using the CEEMDAN Technique

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