GA-optimized feedforward-PID tracking control for a rugged electrohydraulic system design

被引:39
作者
Sarkar, B. K. [1 ]
Mandal, P. [1 ]
Saha, R. [1 ]
Mookherjee, S. [1 ]
Sanyal, D. [1 ]
机构
[1] Jadavpur Univ, Dept Mech Engn, Kolkata 700032, India
关键词
Deadband; Friction; Real-time control; POSITION CONTROL; GENETIC ALGORITHMS; IDENTIFICATION; PERFORMANCE; ACTUATOR;
D O I
10.1016/j.isatra.2013.07.008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Rugged electrohydraulic systems are preferred for remote and harsh applications. Despite the low bandwidth, large deadband and flow nonlinearities in proportional valves valve and highly nonlinear friction in industry-grade cylinders that comprise rugged systems, their maintenance are much easier than very sophisticated and delicate servocontrol and servocylinder systems. With the target of making the easily maintainable system to perform comparably to a servosystem, a feedforward control has been designed here for compensating the nonlinearities. A PID feedback of the piston displacement has been employed in tandem for absorbing the unmodeled effects. All the controller parameters have been optimized by a real-coded genetic algorithm. The agreement between the achieved real-time responses for step and sinusoidal demands with those achieved by modern servosystems clearly establishes the acceptability of the controller design. (C) 2013 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:853 / 861
页数:9
相关论文
共 50 条
[41]   Design of a power system stabilizer using decentralized adaptive model following tracking control approach [J].
Yu, Wen-Shyong .
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2010, 23 (02) :63-87
[42]   Mixed Sensitivity ∞ Controller Design for Force Tracking Control of Electro-hydraulic Servo System [J].
Ijaz, Salman ;
Javaid, Umair ;
Linyan ;
Ashraf, Muhammad Ammar ;
Khan, Yasir Ali .
PROCEEDINGS OF 2018 15TH INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGY (IBCAST), 2018, :291-297
[43]   Design and Control of Magnetic Levitation System by Optimizing Fractional Order PID Controller Using Ant Colony Optimization Algorithm [J].
Mughees, Abdullah ;
Mohsin, Syed Ali .
IEEE ACCESS, 2020, 8 :116704-116723
[44]   Design of Robust Fault-Tolerant Control for Target Tracking System With Input Delay and Sensor Fault [J].
Thinh Huynh ;
Kim, Young-Bok .
IEEE ACCESS, 2021, 9 :123889-123900
[45]   PID-type fuzzy adaptive control for Two-Mass Servo-Drive System: Design, Simulation and Experiment [J].
Lukichev, Dmitry V. ;
Demidova, Galina L. .
2016 IX INTERNATIONAL CONFERENCE ON POWER DRIVES SYSTEMS (ICPDS), 2016,
[46]   Design of a Closed-Loop, Bidirectional Brain Machine Interface System With Energy Efficient Neural Feature Extraction and PID Control [J].
Liu, Xilin ;
Zhang, Milin ;
Richardson, Andrew G. ;
Lucas, Timothy H. ;
Van der Spiegel, Jan .
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2017, 11 (04) :729-742
[47]   Model Free Adaptive Optimal Tracking Controller Design for AFS/DYC based Integrated Chassis Control System [J].
Fu, Zhi-Jun ;
Li, Bin ;
Ning, Xiao-Bin .
2017 9TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC 2017), 2017, :359-364
[48]   Robust Adaptive Neural Network Tracking Control With Optimized Super-Twisting Sliding-Mode Technique for Induction Motor Drive System [J].
El-Sousy, Fayez F. M. ;
Amin, Mahmoud M. ;
Mohammed, Osama A. .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (03) :4134-4157
[49]   Flight Control System Design forAa Rotorcraft-Based Unmanned Aerial System using Pole Placement and LQR-Based PID Tuning Techniques [J].
Yi, Sim Hui ;
Shamsudin, Syariful Syafiq ;
Pairan, Mohammad Fahmi .
JOURNAL OF AERONAUTICS ASTRONAUTICS AND AVIATION, 2024, 56 (03) :615-636
[50]   Trajectory tracking of 2DOF robotic manipulator system based on adaptive exponential forgetting recursive least squares fractional-order PID control [J].
Girgis, Meena E. ;
Elkhateeb, Nasr A. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2025, 239 (07) :1292-1304