Energy efficiency analysis and optimal control of servo pneumatic cylinders

被引:0
作者
Ke, J [1 ]
Wang, J [1 ]
Jia, N [1 ]
Yang, L [1 ]
Wu, QH [1 ]
机构
[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
来源
2005 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), VOLS 1AND 2 | 2005年
关键词
pneumatic actuators; optimal control; nonlinear systems; energy efficiency;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper presents a method for energy efficiency analysis of servo pneumatic actuator systems. Simulation study indicated that different quantities of compressed air will be consumed for one cycle of piston movement when the same controller is adopted but with different profiles for servo pneumatic actuators. This motivated the authors to investigate the profile which leads the system to use the least amount of compressed air, that is, the most energy efficient profile. To avoid solving a set of complicated nonlinear differential equations, the nonlinear system is linearized through input/output state feedback and energy efficient optimal control theory is then applied to the linearized system. An optimal control strategy is developed with respect to the transformed states of the linear system model. The solution of the state trajectory results in an energy efficient profile. Through an inverse transformation, the system is converted back to the original states and control variables. The generalized controller has been proved to be a sub-optimal control with respect to the original nonlinear system model. Simulation study has conducted and the results obtained from linear and nonlinear system models are analyzed and compared.
引用
收藏
页码:541 / 546
页数:6
相关论文
共 50 条
  • [31] Adaptive Optimal Tracking Control of Servo Mechanisms via Generalized Policy Learning
    Zhao, Jun
    Lv, Yongfeng
    Zhao, Ziliang
    Wang, Zhangu
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73
  • [32] A Continuous Extension of the LuGre Friction Model with Application to the Control of a Pneumatic Servo Positioner
    Sobczyk, Mario R.
    Perondi, Eduardo A.
    Cunha, Mauro A. B.
    [J]. 2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 3544 - 3550
  • [33] Energy Efficiency of Pneumatic Cylinder Control with Different Levels of Compressed Air Pressure and Clamping Cartridge
    Blagojevic, Vladislav
    Seslija, Dragan
    Dudic, Slobodan
    Randjelovic, Sasa
    [J]. ENERGIES, 2020, 13 (14)
  • [34] High Precision Adaptive Robust Neural Network Control of a Servo Pneumatic System
    Chen, Ye
    Tao, Guoliang
    Liu, Hao
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (17):
  • [35] Adaptive RBF Neural Network Control Method for Pneumatic Position Servo System
    Ren, Hai-Peng
    Jiao, Shan-Shan
    Wang, Xuan
    Li, Jie
    [J]. IFAC PAPERSONLINE, 2020, 53 (02): : 8826 - 8831
  • [36] Nonconventional processing of noisy signals in the adaptive control of hydraulic differential servo cylinders
    Tar, JK
    Rudas, IJ
    Szeghegyi, A
    Kozlowski, K
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2005, 54 (06) : 2169 - 2176
  • [37] Optimal Control of a Servo Drive System with Variable Torque
    Botan, Corneliu
    Ostafi, Florin
    [J]. 2017 21ST INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2017, : 500 - 505
  • [38] Optimal control and energy efficiency evaluation of district ice storage system
    Cao, Hui
    Lin, Jiajing
    Li, Nan
    [J]. ENERGY, 2023, 276
  • [39] Optimal Control for Thermal Energy Efficiency of the Cement Clinker Manufacturing Process
    Liu, Zhao
    Wang, Xiaohong
    Zhang, Qiang
    Yuan, Zhugang
    [J]. 2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 7444 - 7449
  • [40] Nonstationary optimal servo control realizing smooth switching from velocity servo to position servo - Experimental study
    Hara, Susumu
    [J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2006, 1 (03) : 349 - 352