Page 64 - 2023-Vol19-Issue2
P. 64

60 |                                                               Matrood & Nassar

simplicity and the short time required to calculate controller      [8] D. R. Guevara, A. F. Contreras, F. B. Carbajal, C. Sotelo,
gains. Thus, in turn this advantage makes it easier to use               and D. Sotelo, “An mpc-lqr -lpv controller with
when compared with Fuzzy, Fuzzy-PID and other types of                   quadratic stability conditions for a nonlinear half-car
controllers. The proposed controller offers a clear reduction            active suspension system with electro-hydraulic actua-
in vehicle body displacement as well as suspension deflection            tors,” Int. J. Machines, vol. 10, no. 2, pp. 1–18, 2022.
reflected the good behavior and efficient performance. All of
the above can give stability, ride comfort and good handling        [9] H. Khodadadi and H. Ghadiri, “Self - tuning pid con-
of the vehicle.                                                          troller design using fuzzy logic for half car active sus-
                                                                         pension system,” Int. J. Dynam. Control, vol. 6, no. 3,
              CONFLICT OF INTEREST                                       pp. 224–232, 2016.

The authors declare that there is no conflict of interest in the   [10] J. D. Ekoru and J. Pedro, “Proportional – integral
study.                                                                   –derivative control of nonlinear half-car electro - hy-
                                                                         draulic suspension system,” J. Zhejiang Univ-Sci A (Appl
                     REFERENCES                                          Phys and Eng), vol. 14, no. 6, pp. 401–416, 2013.

 [1] R. Rajamani, “Vehicle dynamics and control second ed.,”       [11] Y. Nan, W. Shi, and P. Fang, “Improvement of ride per-
      Springer, New York Dordrecht Heidelberg 2012.                      formance with an active suspension based on fuzzy logic
                                                                         control,” Journal of vibroengineering, vol. 18, no. 6,
 [2] P. S. Kumar, K. Sivakumar, R. Kanagarajan, and S. Ku-               pp. 3941–3955, 2016.
      beran, “Adaptive neuro fuzzy inference system control of
      active suspension system with actuator dynamics,” Jour-      [12] A. Yildiz, “Optimum suspension design for non – linear
      nal of microengineering, vol. 20, no. 1, pp. 541–549,              half vehicle model using particle swarm optimization
      2018.                                                              (pso) algorithm,” Vibroengineering procedia, vol. 27,
                                                                         pp. 43–48, 2019.

[3] F. Hasbullah and W. F. Faris, “Simulation of disturbance       [13] Y. Susatio, L. Oktaviana, R. N. K., E. Listijorini, and
     rejection control of active half-car active suspension sys-         T. R. Biyanto, “Design of half - active suspension system
     tem using active disturbance rejection control with de-             for passenger riding comfort,” Regional conference on
     coupling transformation,” 4thInt. conf. on mathematical             acoustics and vibration, pp. 1–6, 2018.
     applications in engineering. J. Phys., vol. 949, pp. 1–20,
     2017.                                                         [14] L. Fe´lix-Herra´n, D. Mehdi, J. d. J. Rodr´iguez-Ortiz,
                                                                         V. H. Benitez, R. A. Ramirez-Mendoza, and R. Soto,
[4] Y. J. Liang, N. Li, D. X. Gao, and Z. S. Wang, “Optimal              “Disturbance rejection in a one-half semiactive vehicle
    vibration control for nonlinear systems of tracked vehicle           suspension by means of a fuzzy-h controller,” Shock and
     half-car suspension,” Int. J. Control Autom. Syst., vol. 15,        Vibration, vol. 2019, 2019.
     no. 4, pp. 1675–1683, 2017.
                                                                   [15] G. Mustafa, H. Wang, and Y. Tian, “Optimized fast termi-
[5] A. Pati, S. Singh, and R. Negi, “Sliding mode controller             nal sliding mode control for a half-car active suspension
     design using pid sliding surface for half car suspen-               system,” Int. J Automot. Technol., vol. 21, pp. 805–812,
     sion system,” Students conf. on engineering and systems             2020.
    IEEE, pp. 1–6, 2014.
                                                                   [16] M. Khan, M. Abid, N. Ahmed, A. Wadood, and H. Park,
[6] P. Gandhi, A. S, and K. I. Ramachandran, “Performance                “Nonlinear control design of a half-car model using feed-
     analysis of half car suspension model with 4 dof using              back linearization and an lqr controller,” Int. J. Appl.
     pid, lqr, fuzzy and anfis controllers,” 7th Int. conf. on           Sci., vol. 10, no. 9, pp. 1–17, 2020.
     advances in computing and communication, vol. 115,
     pp. 2–13, 2017.                                               [17] J. O. Pedro and N. Baloyi, “Design of direct adaptive
                                                                         controller for a half-car suspension system,” Africon
[7] S. Zhu, H. Du, and N. Zhang, “Development and imple-                 proceedings, IEEE, pp. 467–472, 2017.
     mentation of fuzzy, fuzzy pid and lqr controllers for a
     roll - plane active hydraulically interconnected suspen-      [18] M. H. A. Shaban, I. M. Abuhadrous, and M. B. Sabra, “A
     sion,” Int. conf. on fuzzy systems,IEEE, pp. 2017–2024,             new fuzzy control strategy for active suspensions applied
     2014.                                                               to a half car model,” J. Mechatron, vol. 1, no. 2, pp. 1–7,
                                                                         2013.
   59   60   61   62   63   64   65   66   67   68   69