Generic placeholder image

Recent Patents on Engineering

Author(s): Jianying LI*, Weidong Li, Heng Liang and Lingbing Kong

DOI: 10.2174/1872212117666230210090351

DownloadDownload PDF Flyer Cite As
Review of Research on Improved PID Control in Electro-hydraulic Servo System

Article ID: e100223213561 Pages: 15

  • * (Excluding Mailing and Handling)

Abstract

Background: Proportional-integral-differential (PID) controller is widely used in the engineering field because of its simple structure, high control accuracy, and easy operation. Different patented PID control technologies have their own advantages, disadvantages, and application scenarios.

Objective: By analyzing and discussing the improved PID control techniques in the electrohydraulic servo system, some valuable conclusions have been drawn to predict the future research and development of PID control techniques.

Methods: The improved PID control techniques applied to electro-hydraulic servo systems are classified into three categories: PID parameter tuning technology, PID parameter online adjustment strategy and compound control strategy combined with PID algorithm.

Results: By comparing the principles and characteristics of the above techniques, the advantages, disadvantages and application scenarios of each are analyzed, and the further development of PID control technology is discussed.

Conclusion: Based on the characteristics of electro-hydraulic servo systems, the further combination of the three types of technology can make up for the shortcomings of PID algorithms to form a control strategy with high control accuracy, high robustness, and fast response speed.

Graphical Abstract

[1]
N. Minorsky, "Directional stability of automatically steered bodies", J. Am. Soc. Nav. Eng. Inc., vol. 34, no. 2, pp. 280-309, 1922.
[http://dx.doi.org/10.1111/j.1559-3584.1922.tb04958.x]
[2]
Y. Zhou, "A summary of PID control algorithms based on AI-enabled embedded systems", Secur. Commun. Netw., vol. 2022, pp. 1-7, 2022.
[http://dx.doi.org/10.1155/2022/7156713]
[3]
A.K. Kumawat, R. Kumawat, M. Rawat, and R. Rout, "Real time position control of electrohydraulic system using PID controller", Mater. Today Proc., vol. 47, pp. 2966-2969, 2021.
[http://dx.doi.org/10.1016/j.matpr.2021.05.203]
[4]
R. Li, J. Luo, C. Sun, and S. Liu, "Analysis of electro-hydraulic proportional speed control system on conveyer", Procedia Eng., vol. 31, pp. 1185-1193, 2012.
[http://dx.doi.org/10.1016/j.proeng.2012.01.1161]
[5]
H.T. Yong, and Y.J. Woo, "Method for controlling hydraulic system of construction machinery", US Patent 9644651B2, 2017.
[6]
B. Roberto, "Screwdriver test bench", US Patent 10317304B2, 2001.
[7]
M.A. Gene, and M.B. Brian, "Systems and methods for autotuning PID control of injection molding machines", US Patent 11241813B2, 2019.
[8]
I. Eiji, M. Masayuki, Y. Shigeru, O. Yoshitaka, and I. Takao, "Control device for hydraulic transmission vehicle", US Patent 0196585A1, 2011.
[9]
N. Attia, A. Akgül, D. Seba, A. Nour, and M.B. Riaz, "Reproducing kernel Hilbert space method for solving fractal fractional differential equations", Results Phys., vol. 35, p. 105225, 2022.
[http://dx.doi.org/10.1016/j.rinp.2022.105225]
[10]
N. Attia, and A. Akgül, "A reproducing kernel Hilbert space method for nonlinear partial differential equations: applications to physical equations", Phys. Scr., vol. 97, no. 10, p. 104001, 2022.
[http://dx.doi.org/10.1088/1402-4896/ac8958]
[11]
MR Foroutan, MS Hashemi, L Gholizadeh, A Akgül, and F Jarad, "A new application of the Legendre reproducing kernel method", Aims Math., vol. 7, no. 6, pp. 10651-10670, 2022.
[http://dx.doi.org/10.3934/math.2022594]
[12]
A. Akgül, "A new application of the reproducing kernel method", Discrete cont dyn-s, vol. 14, no. 7, p. 2041, 2021.
[http://dx.doi.org/10.3934/dcdss.2020261]
[13]
V.V. Patel, "Ziegler-Nichols tuning method", Resonance, vol. 25, no. 10, pp. 1385-1397, 2020.
[http://dx.doi.org/10.1007/s12045-020-1058-z]
[14]
J. Yao, X. Cao, Y. Zhang, and Y. Li, "Cross-coupled fuzzy PID control combined with full decoupling compensation method for double cylinder servo control system", J. Mech. Sci. Technol., vol. 32, no. 5, pp. 2261-2271, 2018.
[http://dx.doi.org/10.1007/s12206-018-0437-9]
[15]
H. Ren, H. Zhang, G. Deng, and B. Hou, "Feedforward feedback pitch control for wind turbine based on feedback linearization with sliding mode and fuzzy PID algorithm", Math. Probl. Eng., vol. 2018, pp. 1-13, 2018.
[http://dx.doi.org/10.1155/2018/4606780]
[16]
S. Li, D. Wang, X. Han, K. Cheng, and C. Zhao, "Auto-tuning parameters of fractional PID controller design for air-conditioning fan coil unit", J. Shanghai Jiaotong Univ. (Sci.), vol. 26, no. 2, pp. 186-192, 2021.
[http://dx.doi.org/10.1007/s12204-020-2245-5]
[17]
S.M. Rozali, M.F. Rahmat, N.A. Wahab, and R. Ghazali, "Zulfatman. PID controller design for an industrial hydraulic actuator with servo system", In: Proceedings of 2010 IEEE Student Conference on Research and Development (SCOReD)., Putrajaya, Malaysia, 2010.
[http://dx.doi.org/10.1109/SCORED.2010.5704005]
[18]
T. Lingfeng, and W. Youmin, "The PID control for electro-hydraulic servo system based on orthogonal test", In: 2009 International Forum on Computer Science-Technology and Applications., Chongqing, China, 2009.
[19]
L. Kasprzyczak, and E. Macha, "Selection of settings of the PID controller by automatic tuning at the control system of the hydraulic fatigue stand", Mech. Syst. Signal Process., vol. 22, no. 6, pp. 1274-1288, 2008.
[http://dx.doi.org/10.1016/j.ymssp.2007.08.014]
[20]
H. Li, L. Zeng, and J. Yang, "Research on method of periodic signal tracking and parameter tuning of the electro‐hydraulic position system", J. Eng. (Stevenage), vol. 2021, no. 6, pp. 306-311, 2021.
[http://dx.doi.org/10.1049/tje2.12036]
[21]
M. Tajjudin, N. Ishak, H. Ismail, M. Rahiman, and R. Adnan, "Optimized PID control using Nelder-Mead method for electro-hydraulic actuator systems", In: 2011 IEEE Control and System Graduate Research Colloquium, Shah Alam, Malaysia, 2011.
[22]
C.H. Jiang, H. Xu, and S.H. Wang, "PID parameter optimization of the grate cooling electro-hydraulic position servo system based on APSO", In: 2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)., Chengdu, China, 2016.
[23]
M.E.S.M. Essa, M.A.S. Aboelela, and M.A.M. Hassan, "Position control of hydraulic servo system using proportional-integral-derivative controller tuned by some evolutionary techniques", J. Vib. Control, vol. 22, no. 12, pp. 2946-2957, 2016.
[http://dx.doi.org/10.1177/1077546314551445]
[24]
M. Mahfouf, M.Y. Chen, and D.A. Linkens, "Adaptive weighted particle swarm optimisation for multi-objective optimal design of alloy steels", In: International conference on parallel problem solving from nature, Berlin, UK, 2004.
[http://dx.doi.org/10.1007/978-3-540-30217-9_77]
[25]
M.G. Skarpetis, and F.N. Koumboulis, "Robust PID controller for electro-Hydraulic actuators", In: 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)., Cagliari, Italy, 2013.
[26]
H Wang, H Du, Q Cui, and H Song, "Artificial bee colony algorithm based PID controller for steel stripe deviation control system", Sci Progress-UK, vol. 105, no. 1, 2022.
[http://dx.doi.org/10.1177/00368504221075188]
[27]
H. Wang, H. Sun, C. Li, S. Rahnamayan, and J. Pan, "Diversity enhanced particle swarm optimization with neighborhood search", Inf. Sci., vol. 223, pp. 119-135, 2013.
[http://dx.doi.org/10.1016/j.ins.2012.10.012]
[28]
L. Chen, Z. Jiao, R. Kang, and D.G. Caldwell, "Rotate-vector optimization and its application to pid controller tuning", In: 2012 International Conference on Industrial Control and Electronics Engineering., Xi'an, China, 2012.
[http://dx.doi.org/10.1109/ICICEE.2012.362]
[29]
J. Rao, L. Dai, and Y. Wang, "Tuning Method For Electro-Hydraulic Servo System’s PID controller based On fibonacci-search algorithm", In: 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)., Toyonaka, Japan, 2019.
[30]
K.M. Elbayomy, J. Zongxia, and Z. Huaqing, "PID controller optimization by GA and its performances on the electro-hydraulic servo control system", Chin. J. Aeronauti., vol. 21, no. 4, pp. 378-384, 2008.
[http://dx.doi.org/10.1016/S1000-9361(08)60049-7]
[31]
F. Xu, X. Liu, W. Chen, C. Zhou, and B. Cao, "Fractional order PID control for steer-by-wire system of emergency rescue vehicle based on genetic algorithm", J. Cent. South Univ., vol. 26, no. 9, pp. 2340-2353, 2019.
[http://dx.doi.org/10.1007/s11771-019-4178-4]
[32]
F. Cao, "PID controller optimized by genetic algorithm for direct-drive servo system", Neural Comput. Appl., vol. 32, no. 1, pp. 23-30, 2020.
[http://dx.doi.org/10.1007/s00521-018-3739-z]
[33]
A.T. Negara, I. Ardiyanto, and O. Wahyunggoro, "Tuning of fractional-order PID Controller for electro-hydraulic servo valve system", In: 2019 International Conference on Information and Communications Technology (ICOIACT)., Yogyakarta, Indonesia, 2019.
[http://dx.doi.org/10.1109/ICOIACT46704.2019.8938409]
[34]
J. Yu, J. Zhuang, and D. Yu, "Parameter optimization of PID controller based on complex system genetic algorithm in electro-hydraulic servo control system", In: Proceedings of the 10th World Congress on Intelligent Control and Automation., Beijing, China, 2012.
[http://dx.doi.org/10.1109/WCICA.2012.6357834]
[35]
Y. Fan, and A. Mu, "Adaptive fuzzy Proportion Integration Differentiation control in hydraulic offshore wind turbine for optimal power extraction based on the estimated wind speed", Energy Sci. Eng., vol. 8, no. 5, pp. 1604-1619, 2020.
[http://dx.doi.org/10.1002/ese3.618]
[36]
Z. Chao, H. Guo, F. Mao, and W. Fei, "Controller analysis and design of the electro-hydraulic servo vibration platform based on fuzzy PID", In: 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)., Dalian, China, 2017.
[http://dx.doi.org/10.1109/ICCTEC.2017.00200]
[37]
Y. Fang, H. Yanyan, and H. Peng, "Electro-hydraulic load simulation method for helicopter booster", In: 2016 IEEE International Conference on Aircraft Utility Systems (AUS)., Beijing, China, 2016.
[http://dx.doi.org/10.1109/AUS.2016.7748101]
[38]
Z.Q. Zhu, X.J. Lu, J. Lei, and M.H. Huang, "Nonlinear-dynamic-analysis based fuzzy PID control approach for complex hydraulic driving process", Int. J. Precis. Eng. Manuf., vol. 19, no. 7, pp. 947-958, 2018.
[http://dx.doi.org/10.1007/s12541-018-0112-1]
[39]
G. Feng, L. Yingying, P. Ziyue, and Y. Ruikai, "Research on clamping force control of hydraulic power chuck of numerical control machine tool", In: 2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE)., Beijing, China, 2020.
[40]
X. Jin, K. Chen, Y. Zhao, J. Ji, and P. Jing, "Simulation of hydraulic transplanting robot control system based on fuzzy PID controller", Measurement, vol. 164, p. 108023, 2020.
[http://dx.doi.org/10.1016/j.measurement.2020.108023]
[41]
L. Zhong, L. Jun-jun, Z. Jia-wei, Z. Yu, and C. Long-rui, "The application of hydraulic rock drill axial thrust control based on fuzzy PID control", In: 2016 IEEE International Conference on Mechatronics and Automation., Harbin, China, 2016.
[http://dx.doi.org/10.1109/ICMA.2016.7558613]
[42]
Z. Li, and K. Xing, "Application of fuzzy PID controller for electro-hydraulic servo position control system", In: 2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE)., Beijing, China, 2017.
[43]
N. Ishak, M. Tajjudin, R. Adnan, H. Ismail, and Y.M. Sam, "Real-time application of self-tuning PID in electro-hydraulic actuator", In: IEEE International Conference on Control System., Penang, Malaysia, 2011.
[http://dx.doi.org/10.1109/ICCSCE.2011.6190553]
[44]
Y. Lin-ke, Z. Jian-ming, and Y. Qi-long, "Ji-ming, Yan L. Fuzzy PID control for direct drive electro-hydraulic position servo system", In: 2011 International conference on consumer electronics, communications and networks (CECNet)., Xianning, China, 2011.
[http://dx.doi.org/10.1109/CECNET.2011.5768670]
[45]
J. Zheng, S. Zhao, and S. Wei, "Application of self-tuning fuzzy PID controller for a SRM direct drive volume control hydraulic press", Control Eng. Pract., vol. 17, no. 12, pp. 1398-1404, 2009.
[http://dx.doi.org/10.1016/j.conengprac.2009.07.001]
[46]
J.P. Shao, Z.W. Wang, J.Y. Li, and G.H. Han, "Rule self-tuning fuzzy-PID controller of electro-hydraulic position servo system", J. Cent. South Univ., vol. 41, no. 3, pp. 960-965, 2010. [Science and Technology].
[47]
Y. Fu, and W. Zhang, "The deadband control of the electro-hydraulic actuator of the motor-pump coordinated control", In: 2010 IEEE International Conference on Mechatronics and Automation., Xi'an, China, 2010.
[http://dx.doi.org/10.1109/ICMA.2010.5589945]
[48]
X. Ren, F. Du, H. Huang, and S. Zhang, "Application of improved fuzzy immune PID controller to bending control system", J. Iron Steel Res. Int., vol. 18, no. 3, pp. 28-33, 2011.
[http://dx.doi.org/10.1016/S1006-706X(11)60033-2]
[49]
KK Ahn, DQ Truong, TQ Thanh, and BR Lee, "Online self-tuning fuzzy proportional-integral-derivative control for hydraulic load simulator", P I Mech Eng I-J Sys, vol. 222, no. 2, pp. 81-95, 2008.
[50]
D.Q. Truong, and K.K. Ahn, "Parallel control for electro-hydraulic load simulator using online self tuning fuzzy PID technique", Asian J. Control, vol. 13, no. 4, pp. 522-541, 2011.
[http://dx.doi.org/10.1002/asjc.348]
[51]
T.C. Do, D.T. Tran, and K.K. Ahn, "Fractional order fuzzy PID controller for an electro-hydraulic rotary actuator", In: 2019 23rd International Conference on Mechatronics Technology (ICMT)., Salerno, Italy, 2019.
[52]
H. Liang, J. Wang, and W. Li, "Research of large angle rotary motion object electro-hydraulic servo loading system", In: 2016 IEEE Advanced Information Management, Communicates Electronic and Automation Control Conference (IMCEC)., Salerno, Italy, 2016.
[53]
Q. Gao, K. Li, Y. Hou, R. Hou, and C. Wang, "Balancing and positioning for a gun control system based on fuzzy fractional order proportional–integral–derivative strategy", Adv. Mech. Eng., vol. 8, no. 3, 2016.
[http://dx.doi.org/10.1177/1687814016639854]
[54]
H. Lin, M. Changlin, and L. Feng, "Study of adaptive PID controller based on single neuron and genetic optimization", In: 2007 8th International Conference on Electronic Measurement and Instruments., Xi'an, China, 2007.
[55]
B. Guo, H. Liu, Z. Luo, and F. Wang, "Adaptive PID controller based on BP neural network", In: 2009 International Joint Conference on Artificial Intelligence., Hainan, China, 2009.
[http://dx.doi.org/10.1109/JCAI.2009.86]
[56]
Y.P. Sun, X.R. Dong, Y.Z. Ma, and J.R. Ma, "The design of electro-hydraulic servo system based on neural network PID", In: 2010 International Conference on Measuring Technology and Mechatronics Automation., Changsha, China, 2010.
[http://dx.doi.org/10.1109/ICMTMA.2010.85]
[57]
XQ Kou, and LC Gu, "Application of PID control based on RBF neural network in electro-hydraulic servo system for steel strip deviation", In: Advanced Materials Research, vol. 468. Trans Tech Publications Ltd, 2012, pp. 434-438.
[http://dx.doi.org/10.4028/www.scientific.net/AMR.468-471.434]
[58]
X. Zhao, X. Ni, Q. Wang, M. Bao, S. Li, and S. Han, "Research on adaptive control strategy of hydraulic mechanical continuously variable transmission of a cotton picker. P I Mech Eng C-", J. Mec., vol. 234, no. 17, pp. 3335-3345, 2020.
[59]
D. Zhenmian, Y. Zhengmao, Z. Hui, B. Hua, X. Yuanli, and J. Xianguo, "The Study of Trajectory Automatic Control Based on RBF Neural Network PID Control", In: 2015 International Conference on Fluid Power and Mechatronics., Harbin, China, 2015.
[http://dx.doi.org/10.1109/FPM.2015.7337308]
[60]
B. Sun, J. Zhao, Z. Wang, C. Yao, and R. Guo, "Control strategy and experimental research on girder hoister steering system based on RBF neural network PID", In: 2009 9th International Conference on Electronic Measurement & Instruments., Beijing, China, 2009.
[61]
S. Yang, and C. Gong, "Application of Fuzzy Neural Network PID algorithm in oil pump Control", In 2019 International Conference on Computer Network, Electronic and Automation (ICCNEA)., Xi'an, China, 2019.
[http://dx.doi.org/10.1109/ICCNEA.2019.00082]
[62]
C. Ma, S. Tian, X. Xiao, and Y. Jiang, "Fuzzy Neural Network PID–based constant deceleration compensation device for the brakes of mining hoists", Adv. Mech. Eng., vol. 12, no. 7, 2020.
[http://dx.doi.org/10.1177/1687814020937568]
[63]
P. Wos, and R. Dindorf, "Adaptive control of the electro‐hydraulic servo‐system with external disturbances", Asian J. Control, vol. 15, no. 4, pp. 1065-1080, 2013.
[http://dx.doi.org/10.1002/asjc.602]
[64]
Z.H. Li, T.S. Zhang, and X. Zhou, "Research on extension-adaptive PID control strategy for electro-hydraulic servo system", Inf. Control, vol. 45, no. 4, pp. 415-420, 431, 2016.
[65]
C.Y. Cai, and H.Z. Chen, "A kind of electro-hydraulic position servo device of expert PID control", CN Patent 208311185U, 2019.
[66]
J. Yao, L. Wang, C. Wang, Z. Zhang, and P. Jia, "ANN-based PID controller for an electro-hydraulic servo system", In 2008 IEEE International Conference on Automation and Logistics., Qingdao, China, 2008.
[67]
Q. Zhao, J. Yin, and D. Li, "Intelligent compound control of vehicle active suspension based on RBF neural network", In 2011 Third International Conference on Measuring Technology and Mechatronics Automation., Shanghai, China, 2011.
[68]
Z.A.S. Dashti, M. Jafari, M. Gholami, and M.A. Shoorehdeli, "Neural-Adaptive control based on backstepping and feedback linearization for electro hydraulic servo system", In 2014 Iranian Conference on Intelligent Systems (ICIS)., Bam, Iran, 2014.
[http://dx.doi.org/10.1109/IranianCIS.2014.6802529]
[69]
D.T. Liem, D.Q. Truong, H.G. Park, and K.K. Ahn, "A feedforward neural network fuzzy grey predictor-based controller for force control of an electro-hydraulic actuator", Int. J. Precis. Eng. Manuf., vol. 17, no. 3, pp. 309-321, 2016.
[http://dx.doi.org/10.1007/s12541-016-0039-3]
[70]
K. Wang, W.X. Kong, C.D. Zhou, C.J. Liu, J. Liu, S.T. Kong, and C.H. Yang, "Electro-hydraulic servo PID control method and system based on dynamic matrix feed forward prediction", CN Patent 105388764B, 2017.
[71]
Y. Guo, Y. Fu, P. Zhang, R. Yang, and H. Qi, "Compound control on electro-hydraulic servo loading test bench", In 2013 IEEE International Conference on Information and Automation (ICIA)., Yinchuan, China, 2013.
[http://dx.doi.org/10.1109/ICInfA.2013.6720353]
[72]
S.K. Mishra, G. Wrat, P. Ranjan, and J. Das, "PID controller with feed forward estimation used for fault tolerant control of hydraulic system", J. Mech. Sci. Technol., vol. 32, no. 8, pp. 3849-3855, 2018.
[http://dx.doi.org/10.1007/s12206-018-0737-0]
[73]
W. Hui, and Y. Bao, "Fuzzy-PID dual mode fuzzy control of the electro-hydraulic deviation control system", In International Conference on Mechanic Automation & Control Engineering., Wuhan, China, 2010.
[74]
X. Yang, Y. Zhang, and W. Zhao, "Electro-Hydraulic Servo System Control Technology Based on Fuzzy-Multi-PID", In 2009 International Workshop on Intelligent Systems and Applications., Wuhan, China, 2009.
[http://dx.doi.org/10.1109/IWISA.2009.5072846]
[75]
K. Sinthipsomboon, I. Hunsacharoonroj, J. Khedari, W. Pongaen, and P. Pratumsuwan, "A hybrid of fuzzy and fuzzy self-tuning PID controller for servo electro-hydraulic system", In: 2011 6th IEEE Conference on Industrial Electronics and Applications., Beijing, China, 2011.
[76]
P. Venkaiah, and B.K. Sarkar, "Hydraulically actuated horizontal axis wind turbine pitch control by model free adaptive controller", Renew. Energy, vol. 147, pp. 55-68, 2020.
[http://dx.doi.org/10.1016/j.renene.2019.08.127]
[77]
H. Peng, Z.J. Wang, W. Shen, and D.Y. Li, "Double fuzzy control with compensating factor for electronic-hydraulic servovalve-controlled system", Jixie Gongcheng Xuebao, vol. 53, no. 24, pp. 184-192, 2017.
[http://dx.doi.org/10.3901/JME.2017.24.184]
[78]
D.Q. Truong, and K.K. Ahn, "Force control for press machines using an online smart tuning fuzzy PID based on a robust extended Kalman filter", Expert Syst. Appl., vol. 38, no. 5, pp. 5879-5894, 2011.
[http://dx.doi.org/10.1016/j.eswa.2010.11.035]
[79]
D.Q. Truong, and K.K. Ahn, "Force control for hydraulic load simulator using self-tuning grey predictor – fuzzy PID", Mechatronics, vol. 19, no. 2, pp. 233-246, 2009.
[http://dx.doi.org/10.1016/j.mechatronics.2008.07.007]
[80]
DQ Truong, KK Ahn, and JI Yoon, "A generation step to develop steel rolling machine performance using an electro-hydraulic actuator and an online tuning modified-grey fuzzy PID controller", In: ICCAS 2010., Gyeonggi-do, Korea (South), 2010.
[81]
C.C. Soon, R. Ghazali, H.I. Jaafar, and S.Y.S. Hussien, "Sliding mode controller design with optimized PID sliding surface using particle swarm algorithm", Procedia Comput. Sci., vol. 105, pp. 235-239, 2017.
[http://dx.doi.org/10.1016/j.procs.2017.01.216]
[82]
B. Geranmehr, K. Vafaee, and A. Sadeqi, "High precision electro-hydraulic self leveling platform system", In 2014 Second RSI/ISM International Conference on Robotics and Mechatronics (ICRoM)., Tehran, Iran, 2014.
[http://dx.doi.org/10.1109/ICRoM.2014.6990772]
[83]
W.L. Yao, G.H. Qi, R.H. Chi, and W. Shao, "Intelligent self-learning PID control of electro-hydraulic servo system with uncertain disturbances", In: Control and Decision., Qingdao, China, 2022.
[84]
W.L. Yao, G.H. Qi, R.H. Chi, W. Shao, B.Y. Li, and Y.B. Yue, "Intelligent self-learning PID control method of electro-hydraulic servo system", CN Patent 113110037A, 2021.
[85]
M.J. Mahmoodabadi, R. Abedzadeh Maafi, and M. Taherkhorsandi, "An optimal adaptive robust PID controller subject to fuzzy rules and sliding modes for MIMO uncertain chaotic systems", Appl. Soft Comput., vol. 52, pp. 1191-1199, 2017.
[http://dx.doi.org/10.1016/j.asoc.2016.09.007]
[86]
W.X. Jing, L.M. Zhen, C. Shuai, L. Hao, and X. Wang, "PID–PFC control of continuous rotary electro‐hydraulic servo motor applied to flight simulator", J. Eng. (Stevenage), vol. 2019, no. 13, pp. 138-143, 2019.
[http://dx.doi.org/10.1049/joe.2018.8984]
[87]
J. Zhao, J. Wang, and S. Wang, "Controller design of a steel billet mould oscillation system with iterative feedback tuning", Trans. Inst. Meas. Contr., vol. 37, no. 10, pp. 1161-1170, 2015.
[http://dx.doi.org/10.1177/0142331214558500]
[88]
S.K. Wang, J.Z. Wang, and J. Zhao, "Application of PD-type iterative learning control in hydraulically driven 6-DOF parallel platform", Trans. Inst. Meas. Contr., vol. 35, no. 5, pp. 683-691, 2013.
[http://dx.doi.org/10.1177/0142331212469538]
[89]
Y. Wang, W. Xu, L. Chen, and Y. Duan, "Iterative learning control of electro-hydraulic position servo system", In 2012 International Conference on Systems and Informatics (ICSAI2012)., Yantai, China, 2012.
[http://dx.doi.org/10.1109/ICSAI.2012.6223053]
[90]
Q. Gao, Y. Hou, T. Deng, C. Wang, and R. Hou, "Extended state observer–based fractional order proportional–integral–derivative controller for a novel electro-hydraulic servo system with iso-actuation balancing and positioning", Adv. Mech. Eng., vol. 7, no. 12, 2015.
[http://dx.doi.org/10.1177/1687814015620736]
[91]
W. Songtao, L. Bin, W. Xueqian, and L. Houde, "Realization of fractional order controller for electro-hydraulic servo system based on best-rational function theory", In: 2017 29th Chinese Control and Decision Conference (CCDC)., Chongqing, China, 2017.
[92]
Q. Gao, Y. Hou, J. Liu, R. Hou, M. Lv, L. Wang, and C. Wang, "An extended state observer based fractional order sliding‐mode control for a novel electro‐hydraulic servo system with iso‐actuation balancing and positioning", Asian J. Control, vol. 21, no. 1, pp. 289-301, 2019.
[http://dx.doi.org/10.1002/asjc.1905]
[93]
C. Cheng, S. Liu, and H. Wu, "Sliding mode observer-based fractional-order proportional–integral–derivative sliding mode control for electro-hydraulic servo systems. P I Mech Eng C-", J. Mec., vol. 234, no. 10, pp. 1887-1898, 2020.