Position control of nonlinear hydraulic system using an improved PSO based PID controller
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“However, the hydraulic system is always subjected to model uncertainties caused by complex flow–pressure properties of the control valve, oil compressibility, and leakage [4].”
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“PSO based PID is used to compute the position controller of a hydraulic system [51].”
MethodAn Improved DDPG and Its Application Based on the Double-Layer BP Neural Network
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“…the state of the control loop changes, servo systems often need to adjust the parameters, in order to satisfy the demands of high precision position control in all kinds of cases [9], readjust parameter means shutdown and debugging which will affect system efficiency, also waste time and energy.”
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“Many of the studies [13,16] use performance indices as objective functions.”
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“To solve the above problem, several methods have been developed, for example, genetic algorithm, 26,27 particle swarm optimization, 28,29 etc.”
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“[41] utilized an enhanced particle swarm optimization algorithm to search for the optimal proportional-integral-derivative controller gains of the nonlinear hydraulic system.”
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“…particle swarm optimization algorithm and the linear-quadratic-regulator (PSO-LQR) [39], the hybrid particle swarm optimization-Grey wolf optimization (PSO-GWO) [38], the modified particle swarm optimization based on dynamic weight and crossover operator (MPSO-IPID) [40], and the improved PSO [36].”
MethodDynamic control method of flue gas heat transfer system in the waste heat recovery process
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“to reduce the probability of falling into local optima [27].”
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“In [18], a PSO-based PID controller is proposed to address the position control of the hydraulic system.”
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Comprehensive Study on Performance of PID Controller and its Applications
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“Intelligent algorithms such as reinforcement learning [38,39], fuzzy logic [40,41], and the particle swarm optimization (PSO) algorithm [42] have been applied to the energy saving control of HECMs.”
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Self-citationMotion control for earth excavation robot based on force pre-load and cross-coupling compensation
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Adaptive Impedance Control Method for Dynamic Contact Force Tracking of Robotic Excavators
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“Assuming zero opening of sliding valve at the starting point of the piston rod, by Taylor expansion, the load flow equation can be linearized as [38]”
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“However, in the practical application of robot systems, to ensure the stability of the body, algorithms of the core controller based on PID are still necessitated [23–25].”
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“The inertia weight w stands for the effects that the previous velocity has on the current velocity [20].”
BackgroundImplementation of Grasshopper Optimization Algorithm for Controlling a BLDC Motor Drive
Potnuru, D., & Tummala, A. S. L. V. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-13-0514-6_37 · Cited by 17 · see citing works
Adaptive control system of header for cabbage combine harvester based on IPSO-fuzzy PID controller
Zheng, J., Wang, X., Huang, X., Shi, Y., Zhang, X., Wang, D., Wang, D., Zhang, J., & Zhang, J. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.110044 · Cited by 16 · see citing works
Shi, D., Li, S., Liu, K., Wang, Y., Liu, R., & Guo, J. (2022) · Processes · doi:10.3390/pr10091831 · Cited by 16 · see citing works
Reinforcement Learning Based Motion Control Method for Electrical-hydraulic Valve-Controlled System
Gao, L., Zhao, J., Duan, J., Liu, S., & Ma, F. (2024) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2024.3397297 · Cited by 16 · see citing works
Zeng, Z., Chen, Z., Shu, G., & Chen, Q. (2018) · IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) · doi:10.1109/icphys.2018.8390746 · Cited by 16 · see citing works
“They are both widely applied to many fields[9-10].”
BackgroundIntegrative Tracking Control Strategy for Robotic Excavation
Reginald, N., Seo, J., & Cha, M. (2021) · International Journal of Control Automation and Systems · doi:10.1007/s12555-020-0595-2 · Cited by 16 · see citing works
Huang, W., Wang, Q., Yang, S., Zhang, J., & Xu, B. Y. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106046 · Cited by 15 · see citing works
Hierarchical control strategies for multi-mode steering system of emergency rescue vehicle
Xu, F., Zhou, C. Q., & Liu, X. (2022) · Mechatronics · doi:10.1016/j.mechatronics.2022.102834 · Cited by 15 · see citing works
Cuckoo Coupled Improved Grey Wolf Algorithm for PID Parameter Tuning
Chen, K., Xiao, B., Wang, C., Liu, X., Liang, S., & Zhang, X. (2023) · Applied Sciences · doi:10.3390/app132312944 · Cited by 15 · see citing works
Trajectory Control Strategy and System Modeling of Load-Sensitive Hydraulic Excavator
Song, H., Li, G., Li, Z., & Xiong, X. (2022) · Machines · doi:10.3390/machines11010010 · Cited by 15 · see citing works
Adaptive and sliding mode friction-resilient machine tool positioning – Cascaded control revisited
Papageorgiou, D., Blanke, M., Niemann, H., & Richter, J. H. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.06.015 · Cited by 15 · see citing works
“Particle Swarm Optimizationbased tuning of a PID controller was used in [25] to achieve sufficient compensation of nonlinenar friction.”
MethodMa, Y., Gu, L., Xu, Y.-G., Shi, L., & Wang, H. (2022) · Advances in Mechanical Engineering · doi:10.1177/16878132221096226 · Cited by 14 · see citing works
Free-shape contour control for excavators based on cross-coupling and double error pre-compensation
Wang, Q., Shen, Y., Wang, J., Fa, S., Feng, C., & Li, X. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105336 · Cited by 14 · see citing works
Comparison of Optimized PID and Fuzzy Control Strategies on a Mobile Pendulum Robot
Odry, Á., & Fuller, R. C. (2018) · IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI) · doi:10.1109/saci.2018.8440947 · Cited by 14 · see citing works
Tang, Y., Zhu, Z., Shen, G., Rui, G., Cheng, D., Li, X., & Sa, Y. (2019) · Journal of the Brazilian Society of Mechanical Sciences and Engineering · doi:10.1007/s40430-019-1780-1 · Cited by 14 · see citing works
A Position Controller for Hydraulic Excavators With Deadtime and Regenerative Pipelines
Yamamoto, Y., Qiu, J., Doi, T., Nanjo, T., Yamashita, K., & Kikuuwe, R. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2024.3354952 · Cited by 13 · see citing works
Wang, F., Qiao, Y., Zhou, H. R., Wu, J., & Bing Hong, X. U. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3438268 · Cited by 13 · see citing works
Rooted Tree Optimization Algorithm to Improve DTC Response of DFIM
Bekakra, Y., Labbi, Y., Attous, D. B., & Malik, O. P. (2021) · Journal of Electrical Engineering and Technology · doi:10.1007/s42835-021-00796-4 · Cited by 13 · see citing works
Implicit Implementation of Nonsmooth Controllers to Nonsmooth Actuators
Kikuuwe, R., Yamamoto, Y., & Brogliato, B. (2022) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2022.3163124 · Cited by 13 · see citing works
“It cannot be easily handled by many of the existing techniques, which are based on simple proportional-integral (PI) control [24, 25, 28, 33, 34] or linearized actuator models [20, 30] neglecting the actuator saturation brought about by the relief valves.”
Hu, Y., Liu, Q., Zhou, Y., & Yin, C. (2024) · Measurement · doi:10.1016/j.measurement.2024.116256 · Cited by 12 · see citing works
Self-citationPan, Q. L., Li, Y., & Huang, M. (2018) · Mechatronics · doi:10.1016/j.mechatronics.2018.05.003 · Cited by 12 · see citing works
A coordinated control of hydraulic hub-motor auxiliary system for heavy truck
Song, D., Yang, D., Zeng, X., Zhang, X., & Gao, F. (2021) · Measurement · doi:10.1016/j.measurement.2021.109087 · Cited by 12 · see citing works
Guo, Q., Shi, G., & Wang, D. (2018) · Asian Journal of Control · doi:10.1002/asjc.1907 · Cited by 12 · see citing works
“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…”
Zhang, Y., Zhou, Q., Li, Z., Li, J., & Xu, H. (2018) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/0954407018776745 · Cited by 11 · see citing works
“Comparing with other metaheuristic algorithms such as genetic algorithm(13) and populationbased algorithm,(14) the swarm intelligence algorithms have the advantages of easy implementation, less computational effort and fast convergence speed.(15) Therefore, it is widely used in controller intelligent calibration cases.”
MethodA Sliding-Mode Set-Point Position Controller for Hydraulic Excavators
Yamamoto, Y., Qiu, J., Munemasa, Y., Doi, T., Nanjo, T., Yamashita, K., & Kikuuwe, R. (2021) · IEEE Access · doi:10.1109/access.2021.3128215 · Cited by 11 · see citing works
An Energy-Saving Position Control Strategy for Deep-Sea Valve-Controlled Hydraulic Cylinder Systems
Wu, J.-B., Li, L., Yan, Y.-K., Wang, P.-J., & Wei, W. (2022) · Journal of Marine Science and Engineering · doi:10.3390/jmse10050567 · Cited by 11 · see citing works
“[11] proposed an improved particle swarm optimization (PSO) algorithm to realize the precise position control of the VCHCS in the excavator.”
BackgroundFeng, 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 · see citing works
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 · see citing works
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 · see citing works
Zheng, Y., Sun, R., Li, F., Liu, Y., Song, R., & Li, Y. (2023) · Mechatronics · doi:10.1016/j.mechatronics.2023.103006 · Cited by 9 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
“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).”
MethodLi, X., Zhu, Z., Shen, G., & Tang, Y. (2021) · Symmetry · doi:10.3390/sym13040716 · Cited by 9 · see citing works
“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].”
BackgroundXu, Z., Sun, C., Yang, M., & Liu, Q. (2022) · IET Control Theory and Applications · doi:10.1049/cth2.12292 · Cited by 9 · see citing works
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 · see citing works
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 · see citing works
Coşkun, M. Y., & İtik, M. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124275 · Cited by 7 · see citing works
Lei-hua, F., Yang, F., Zhang, W., & Tian, H. X. (2019) · Mathematical Problems in Engineering · doi:10.1155/2019/6812754 · Cited by 7 · see citing works
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 · see citing works
“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].”
MethodDevelopment 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 · see citing works
“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 · see citing works
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 · see citing works
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 · see citing works
“[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.”
MethodRu, 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 · see citing works
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 · see citing works
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 · see citing works
- Authors
- Ye, Y., Yin, C.-B., Gong, Y., & Zhou, J.-J.
- Affiliations
- Nanjing Tech University (CN)
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 83
- Pages
- 241-259
- ISSN
- 0888-3270 (ISSN-L)
- 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 · 2016: 1
- FWCI
- 16.01
- Type
- journal article
- Language
- en
- Open access
- closed
- 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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