Identification and compensation of non-linear friction for a electro-hydraulic system. (November 2019)
- Record Type:
- Journal Article
- Title:
- Identification and compensation of non-linear friction for a electro-hydraulic system. (November 2019)
- Main Title:
- Identification and compensation of non-linear friction for a electro-hydraulic system
- Authors:
- Feng, Hao
Qiao, Wenhua
Yin, Chenbo
Yu, Hongfu
Cao, Donghui - Abstract:
- Highlights: The improved Stribeck model is used to establish the non-linear friction model of a electro-hydraulic system. The improved genetic algorithm is used to identify four unknown parameters in the friction model. A dynamic friction feedforward compensation method is designed based on the velocity observer and the structural invariance principle. Effectiveness of the friction model and the friction feedforward compensation method is validated by experiment. Abstract: It is necessary to identify and compensate the non-linear friction to improve the performances of the electro-hydraulic system of robotic excavators. The mathematical model of the electro-hydraulic system is established first, and the non-linear friction are described by the improved Stribeck model. The actual friction force is calculated by measuring the pressures of the two chambers of the hydraulic cylinder at different constant velocities. The fitness, crossover and mutation probabilities of the genetic algorithm are improved to overcome the shortcomings of stagnation and premature convergence. Four unknown parameters in the friction model are identified and verified by the improved genetic algorithm. According to the displacement signal from the sensor, a velocity observer is used to estimate the velocity signal in real time. Based on the principle of structural invariance, a dynamic friction feedforward compensation method is designed. On this basis, the experiments of friction compensation (FC)Highlights: The improved Stribeck model is used to establish the non-linear friction model of a electro-hydraulic system. The improved genetic algorithm is used to identify four unknown parameters in the friction model. A dynamic friction feedforward compensation method is designed based on the velocity observer and the structural invariance principle. Effectiveness of the friction model and the friction feedforward compensation method is validated by experiment. Abstract: It is necessary to identify and compensate the non-linear friction to improve the performances of the electro-hydraulic system of robotic excavators. The mathematical model of the electro-hydraulic system is established first, and the non-linear friction are described by the improved Stribeck model. The actual friction force is calculated by measuring the pressures of the two chambers of the hydraulic cylinder at different constant velocities. The fitness, crossover and mutation probabilities of the genetic algorithm are improved to overcome the shortcomings of stagnation and premature convergence. Four unknown parameters in the friction model are identified and verified by the improved genetic algorithm. According to the displacement signal from the sensor, a velocity observer is used to estimate the velocity signal in real time. Based on the principle of structural invariance, a dynamic friction feedforward compensation method is designed. On this basis, the experiments of friction compensation (FC) under three working conditions of sinusoidal trajectory, low and high velocities tracking were carried out for the arm electro-hydraulic system. The results show that the proposed Stribeck model and friction compensation control method effectively eliminates the low velocity crawling and amplitude flattening phenomena, and improves the control performances of the system. … (more)
- Is Part Of:
- Mechanism and machine theory. Volume 141(2019)
- Journal:
- Mechanism and machine theory
- Issue:
- Volume 141(2019)
- Issue Display:
- Volume 141, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 141
- Issue:
- 2019
- Issue Sort Value:
- 2019-0141-2019-0000
- Page Start:
- 1
- Page End:
- 13
- Publication Date:
- 2019-11
- Subjects:
- Parameters identification -- Friction compensation -- Genetic algorithm -- Stribeck model -- Robotic excavator
Machine theory -- Periodicals
Machinery -- Periodicals
Machines -- Périodiques
Génie mécanique -- Périodiques
Machine theory
Machinery
Periodicals
621.81 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0094114X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.mechmachtheory.2019.07.004 ↗
- Languages:
- English
- ISSNs:
- 0094-114X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5424.570800
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11536.xml