Towards Industrialization of FOPID Controllers: A Survey on Milestones of Fractional-Order Control and Pathways for Future Developments

被引:115
作者
Tepljakov, Aleksei [1 ]
Alagoz, Baris Baykant [2 ]
Yeroglu, Celaleddin [2 ]
Gonzalez, Emmanuel A. [3 ]
Hosseinnia, S. Hassan [4 ]
Petlenkov, Eduard [1 ]
Ates, Abdullah [2 ]
Cech, Martin [5 ]
机构
[1] Tallinn Univ Technol, Dept Comp Syst, EE-12618 Tallinn, Estonia
[2] Inonu Univ, Dept Comp Engn, TR-44000 Malatya, Turkey
[3] Schindler Elevator Corp, Holland, OH 43528 USA
[4] Delft Univ Technol, Dept Precis & Microsyst Engn, NL-2628 Delft, Netherlands
[5] Univ West Bohemia NTIS, European Ctr Excellence, Plzen 30100, Czech Republic
关键词
Patents; Technological innovation; Process control; Tools; Control systems; PD control; Tuning; Fractional calculus; fractional-order PID control; industrial applications; frequency-domain analysis; optimal tuning; fractional control implementation; LIGHTING CONTROL STRATEGY; PID CONTROLLERS; ROBUST STABILITY; (PID-MU)-D-LAMBDA CONTROLLER; OPTIMIZATION ALGORITHM; ANALOG IMPLEMENTATION; CONTROL DESIGN; TUNING RULES; SYSTEMS; STABILIZATION;
D O I
10.1109/ACCESS.2021.3055117
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 interest in fractional-order (FO) control can be traced back to the late nineteenth century. The growing tendency towards using fractional-order proportional-integral-derivative (FOPID) control has been fueled mainly by the fact that these controllers have additional "tuning knobs" that allow coherent adjustment of the dynamics of control systems. For instance, in certain cases, the capacity for additional frequency response shaping gives rise to the generation of control laws that lead to superior performance of control loops. These fractional-order control laws may allow fulfilling intricate control performance requirements that are otherwise not in the span of conventional integer-order control systems. However, there are underpinning points that are rarely addressed in the literature: (1) What are the particular advantages (in concrete figures) of FOPID controllers versus conventional, integer-order (IO) PID controllers in light of the complexities arising in the implementation of the former? (2) For real-time implementation of FOPID controllers, approximations are used that are indeed equivalent to high-order linear controllers. What, then, is the benefit of using FOPID controllers? Finally, (3) What advantages are to be had from having a near-ideal fractional-order behavior in control practice? In the present paper, we attempt to address these issues by reviewing a large portion of relevant publications in the fast-growing FO control literature, outline the milestones and drawbacks, and present future perspectives for industrialization of fractional-order control. Furthermore, we comment on FOPID controller tuning methods from the perspective of seeking globally optimal tuning parameter sets and how this approach can benefit designers of industrial FOPID control. We also review some CACSD (computer-aided control system design) software toolboxes used for the design and implementation of FOPID controllers. Finally, we draw conclusions and formulate suggestions for future research.
引用
收藏
页码:21016 / 21042
页数:27
相关论文
共 214 条
  • [1] Abbisso S., 2004, U.S. Patent, Patent No. [US6 678 670, 6678670]
  • [2] Necessary and sufficient stability condition of fractional-order interval linear systems
    Ahn, Hyo-Sung
    Chen, YangQuan
    [J]. AUTOMATICA, 2008, 44 (11) : 2985 - 2988
  • [3] Alagoz B. B., 2018, BALKAN J ELECT COMPU, V6, P224, DOI DOI 10.17694/BAJECE.449265
  • [4] Disturbance rejection performance analyses of closed loop control systems by reference to disturbance ratio
    Alagoz, Bans Baykant
    Deniz, Furkan Nur
    Keles, Cemal
    Tan, Nusret
    [J]. ISA TRANSACTIONS, 2015, 55 : 63 - 71
  • [5] Time-domain identification of One Noninteger Order Plus Time Delay models from step response measurements
    Alagoz, Baris Baykant
    Tepljakov, Aleksei
    Ates, Abdullah
    Petlenkov, Eduard
    Yeroglu, Celaleddin
    [J]. INTERNATIONAL JOURNAL OF MODELING SIMULATION AND SCIENTIFIC COMPUTING, 2019, 10 (01)
  • [6] A Numerical Study for Plant-Independent Evaluation of Fractional-order PID Controller Performance
    Alagoz, Baris Baykant
    Tepljakov, Aleksei
    Yeroglu, Celaleddin
    Gonzalez, Emmanuel
    HosseinNia, S. Hassan
    Petlenkov, Eduard
    [J]. IFAC PAPERSONLINE, 2018, 51 (04): : 539 - 544
  • [7] Fractional order linear time invariant system stabilization by brute-force search
    Alagoz, Baris Baykant
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2018, 40 (05) : 1447 - 1456
  • [8] Alagoz BB, 2017, 2017 40TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), P702, DOI 10.1109/TSP.2017.8076078
  • [9] Probabilistic robust stabilization of fractional order systems with interval uncertainty
    Alagoz, Baris Baykant
    Yeroglu, Celaleddin
    Senol, Bilal
    Ates, Abdullah
    [J]. ISA TRANSACTIONS, 2015, 57 : 101 - 110
  • [10] Auto-tuning of PID controller according to fractional-order reference model approximation for DC rotor control
    Alagoz, Baris Baykant
    Ates, Abdullah
    Yeroglu, Celaleddin
    [J]. MECHATRONICS, 2013, 23 (07) : 789 - 797