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Position control of nonlinear hydraulic system using an improved PSO based PID controller

Ye, Yi, Yin, Chen-Bo, Gong, Yue, Zhou, Jun-jing·2017·Mechanical Systems and Signal Processing

DOI 10.1016/j.ymssp.2016.06.010

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Particle swarm optimization
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Yu, 2014, Feedback linearization control for an electro-hydraulic servo system using Lyapunov functions, J. Xi’ Jiaotong Univ., 48, 71
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Self-citation
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“Although the proportional-integral-derivative (PID) based control technique has been widely used in industries [6,7], it is undeniable that PID control has been increasingly overwhelmed by the high performance demands of modern industries, especially those involving EHS with highly nonlinear behaviors and modeling unc…”
Intelligent transient calibration of a dual-loop EGR diesel engine using chaos-enhanced accelerated particle swarm optimization algorithm
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Method
A Sliding-Mode Set-Point Position Controller for Hydraulic Excavators
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An Energy-Saving Position Control Strategy for Deep-Sea Valve-Controlled Hydraulic Cylinder Systems
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“[11] proposed an improved particle swarm optimization (PSO) algorithm to realize the precise position control of the VCHCS in the excavator.”
Background
Physics-informed neutral network with physically consistent and residual learning for excavator precision operation control
Feng, C., Wang, J., Shen, Y., Wang, Q., Xiong, Y., Zhang, X., & Fan, J. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.112402 · Cited by 10
Review on control systems and control strategies for excavators
Liu, W., Luo, X., Zhang, J., Niu, D., Deng, J., Sun, W., & Kang, J. (2022) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2301/1/012023 · Cited by 10
Nonlinear-Dynamic-Analysis Based Fuzzy PID Control Approach for Complex Hydraulic Driving Process
Zhu, Z., Lu, X., Lei, J. H., & Huang, M.-H. (2018) · International Journal of Precision Engineering and Manufacturing · doi:10.1007/s12541-018-0112-1 · Cited by 10
Parameter identification and position control for helical hydraulic rotary actuators based on particle swarm optimization
Zheng, Y., Sun, R., Li, F., Liu, Y., Song, R., & Li, Y. (2023) · Mechatronics · doi:10.1016/j.mechatronics.2023.103006 · Cited by 9
Contionuous VS discrete PID controller
Podržaj, P. (2018) · IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) · doi:10.1109/icmimt.2018.8340444 · Cited by 9
Position Control with ADRC for a Hydrostatic Double-Cylinder Actuator
Wang, B., Ji, H., & Chang, R. L. (2020) · Actuators · doi:10.3390/act9040112 · Cited by 9
A non-overshooting controller for vehicle path following
Xu, T., Wang, D., & Zhang, W. (2021) · Transactions of the Institute of Measurement and Control · doi:10.1177/0142331221994384 · Cited by 9
“In addition, a novel PSO fitness function is designed to meet the requirements of our project (Chiou and Liu, 2009; Dai et al., 2018; Ye et al., 2017).”
Method
Wire Tension Coordination Control of Electro-Hydraulic Servo Driven Double-Rope Winding Hoisting Systems Using a Hybrid Controller Combining the Flatness-Based Control and a Disturbance Observer
Li, X., Zhu, Z., Shen, G., & Tang, Y. (2021) · Symmetry · doi:10.3390/sym13040716 · Cited by 9
“A conventional proportional-integral (PI) controller, which is easy to design and almost universal in any a control system, can certainly reduce the tension difference between the two wire ropes [3,4].”
Background
Active disturbance rejection control for hydraulic systems with full‐state constraints and input saturation
Xu, Z., Sun, C., Yang, M., & Liu, Q. (2022) · IET Control Theory and Applications · doi:10.1049/cth2.12292 · Cited by 9
Coordinate-based control for a materials handling equipment utilizing real-time simulation
Roozbahani, H., Alizadeh, M., Ahomäki, A., & Handroos, H. (2020) · Automation in Construction · doi:10.1016/j.autcon.2020.103483 · Cited by 8
A New Event-Based PI Controller Using Evolutionary Algorithms
Hadian, M., Aarabi, A., Makvand, A. B., & Mehrshadian, M. (2019) · Journal of Control Automation and Electrical Systems · doi:10.1007/s40313-019-00519-1 · Cited by 8
Position control of a digital electrohydraulic system with limited sensory data using double deep q-network controller
Coşkun, M. Y., & İtik, M. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124275 · Cited by 7
Model Predictive Control of Duplex Inlet and Outlet Ball Mill System Based on Parameter Adaptive Particle Swarm Optimization
Lei-hua, F., Yang, F., Zhang, W., & Tian, H. X. (2019) · Mathematical Problems in Engineering · doi:10.1155/2019/6812754 · Cited by 7
Double-robot obstacle avoidance path optimization for welding process
Wang, X., Tang, B., Zhou, X., & Gu, X. (2019) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2019284 · Cited by 7
“Algorithm improvements were studied on parameters [7], the position and velocity of PSO [8], local search PSO algorithm [9], fusion of different intelligent optimization algorithms [10], and updating strategy [11].”
Method
Development of an Integrated Tracking Control Algorithm for Digging Operations of an Excavator
Reginald, N., Seo, J., & Rasul, A. (2020) · International Conference on Control, Automation and Systems (ICCAS) · doi:10.23919/iccas50221.2020.9268434 · Cited by 7
“To deal with these nonlinear effects, existent researches have proposed various control strategies including PID [2-4], MPC (Model Predictive Control) [5-7], ANN (Artificial Neural Networks) [8-10], and fuzzy-based control [11-13].”
Grey Wolf Particle Swarm Optimized Pump–Motor Servo System Constant Speed Control Strategy
Lu, S., Wang, H., Zhao, G., & Zhou, G. (2023) · Machines · doi:10.3390/machines11020178 · Cited by 7
PSO-based PID controller design for an energy conversion system using compressed air
Atacak, İ., & Küçük, B. (2017) · Tehnicki vjesnik - Technical Gazette · doi:10.17559/tv-20150310170741 · Cited by 7
Study on Precise Displacement Control of a Miniature Hydraulic System via RBF-DOB
Wang, B., Zhang, N., & Ji, H. (2018) · IEEE Access · doi:10.1109/access.2018.2879716 · Cited by 7
“[15] Y. Ye, C.-B. Yin, Y. Gong, and J.-J. Zhou, ‘‘Position control of nonlinear hydraulic system using an improved PSO based PID controller,’’ Mech.”
Method
Aerospace airflow and transient elastodynamic responses of the smart composite structures: Verification of the results via a machine learning algorithm
Ru, Y., He, J., Wang, M., Wang, F., & Sharaf, M. A. F. (2025) · Aerospace Science and Technology · doi:10.1016/j.ast.2025.110293 · Cited by 6
Hydro-Pneumatic Energy Harvesting Suspension System Using a PSO Based PID Controller
Awad, M. N., Sokar, M., Abdrabbo, S., & ELARABY, M. E. (2018) · SAE International journal of commercial vehicles · doi:10.4271/02-11-04-0018 · Cited by 6
Model-reference design of fixed-order controllers for Brake-By-Wire actuators
Riva, G., Ruíz, F., Formentin, S., & Savaresi, S. M. (2021) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc50511.2021.9483205 · Cited by 6

Authors: Ye, Y., Yin, C.-B., Gong, Y., & Zhou, J.-J.
Affiliations: Nanjing Tech University (CN)
ORCID: Ye, Yi
Gong, Yue
Venue: Mechanical Systems and Signal Processing
Publisher: Elsevier BV
Published: 2017-01
Volume: 83
Pages: 241-259
ISSN: 0888-3270 (ISSN-L)
DOI: 10.1016/j.ymssp.2016.06.010
OpenAlex: W2462241752
Cited by: 199
References: 61
Citations by year: 2026: 16 · 2025: 19 · 2024: 25 · 2023: 21 · 2022: 28 · 2021: 19 · 2020: 17 · 2019: 21 · 2018: 22 · 2017: 10
FWCI: 16.01
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Mechanical Systems and Signal Processing (publishedVersion)
Topics: Physical Sciences › Engineering › Mechanical Engineering › Hydraulic and Pneumatic Systems
Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
Keywords: position control, hydraulic excavator, valve-controlled cylinder, improved particle swarm optimization, PID controller tuning, dead zone, saturation, discharge coefficient, friction, co-simulation

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Position control of nonlinear hydraulic system using an improved PSO based PID controller

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