Research on the electro-hydraulic servo system of picking manipulator
Source abstract
Abstract
To meet the demand for high-altitude fruit picking, a luffing mechanism system is designed and used to control the hydraulic cylinder. Combined with the performance index of the servo system, the fuzzy proportional–integral–differential (PID) is adaptive and strong, and the robustness of the picking robot is simulated. Using the MATLAB/Simulink module, the fuzzy PID controller model of the electro-hydraulic servo system for picking the robot arm is established. The simulation results show that the fuzzy PID controller model can effectively reduce the error and meet the requirements. Through the simulation of the picking robot arm, the results show that the fuzzy PID control method can not only improve the performance of the picking robot arm but also provide a reference value for future optimization control.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Algorithms and Applications · Robotic Path Planning Algorithms · Advanced Sensor and Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mechanical Engineering, Zhengzhou Railway Vocational and Technical College , Zhengzhou 451460, China
References (20)
Show source-provided references
1. A class of energy efficient self-contained electro-hydraulic drives with self-locking capability10.3390/en12101866 ↗
2. Leakage fault detection in Electro-HydraulicServo Systems using a nonlinear representation learning approach10.1016/j.isatra.2018.01.015 ↗
3. Dynamic analysis of the rigid-flexible excavator mechanism based on virtual prototype10.22190/fume211028008y ↗
4. Particle swarm optimization-based neural network control for an electro-hydraulic servo system10.1177/1077546312472926 ↗
5. PID controller design for electro-hydraulic servo valve system with genetic algorithm10.1016/j.procs.2016.05.023 ↗
6. Nonlinear adaptive robust control of the electro-hydraulic servo system10.3390/app10134494 ↗
7. Robust MPC-PIC force control for an electro-hydraulic servo system with pure compressive elastic load10.1016/j.conengprac.2018.07.009 ↗
8. An extended state observer based fractional order sliding-mode control for a novel electro-hydraulic servo system with iso-actuation balancing and positioning10.1002/asjc.1905 ↗
9. Alpine skiing optimization: A new bio-inspired optimization algorithm10.1016/j.advengsoft.2022.103158 ↗
10. Optimization of an auto drum fashioned brake using the elite opposition-based learning and chaotic k-best gravitational search strategy based grey wolf optimizer algorithm10.1016/j.asoc.2022.108947 ↗
11. System identification and robust position control for electro-hydraulic servo system using hybrid model predictive control10.1177/1077546317721417 ↗
12. Design and dynamic simulation of hydraulic system of a new automatic transmission10.1007/s11771-009-0115-2 ↗
13. Identification and optimization for hydraulic roll gap control in strip rolling mill10.1007/s11771-015-2742-0 ↗
14. Research on fuzzy symmetrical control of valve controlled asymmetric hydraulic cylinder system10.3233/JIFS-189705 ↗
15. Review of energy efficient direct pump controlled cylinder electro-hydraulic technology10.1016/j.rser.2014.04.036 ↗
16. Novel concept for electro-hydrostatic actuators for motion control of hydraulic manipulators10.3390/en14206566 ↗
17. Trajectory control of electro-hydraulic position servo system using improved PSO-PID controller10.1016/j.autcon.2021.103722 ↗
18. Adaptive fuzzy sliding mode control for electro-hydraulic servo mechanism10.1016/j.eswa.2012.02.172 ↗
19. Robust output feedback control of electro-hydraulic system10.1007/s40435-018-0447-6 ↗
20. Adaptive sliding mode control of a nonlinear electro-hydraulicservo system for position tracking10.5755/j01.mech.25.4.22822 ↗