2020 Vol.3 Aug. No.4

• Title: Discrete Fuzzy Adaptive PID Control Algorithm for Automobile Anti-lock Braking System
• Name: Dawid Polap
• Company: Faculty of Applied Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland
• Abstract:

   With the increase of private cars, people pay more attention to the safety of vehicles. Traditional anti-lock braking system control algorithm has poor control ability of vehicle control distance and lateral displacement. Therefore, the discrete fuzzy adaptive PID control algorithm of ABS is designed. The vehicle dynamics model of automobile ABS was built, the discrete fuzzy adaptive PID controller was set, and the adaptive control algorithm of automobile anti-lock braking system was designed by using fuzzy algorithm. So far, the design of discrete fuzzy adaptive PID control algorithm of ABS is completed. Experimental links are constructed. Through experiments, it can be seen that under the control of this algorithm, the control ability of vehicle control distance and lateral displacement distance is better than that of the original algorithm. In conclusion, the discrete fuzzy adaptive PID control algorithm of ABS is more effective.

  
  

• Keyword: ABS control method; Discrete fuzzy control; Adaptive PID control; The controller
• DOI: 10.12250/jpciams2020040402
• Citation form: Dawid Polap.Discrete Fuzzy Adaptive PID Control Algorithm for Automobile Anti-lock Braking System[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 1-16.

[1] Romeo Falcón,Héctor Ríos,Alejandro Dzul. Comparative analysis of continuous sliding-modes control strategies for quad-rotor robust tracking Control Engineering Practice,2019,90:241-256.

[2] Ramasamy Saravanakumar,Young Hoon Joo. Fuzzy dissipative and observer control for wind generator systems: a fuzzy time-dependent LKF approach.Nonlinear Dynamics,2019,97(4): 2189-2199.

[3] Yadav Brijesh S,Chaturvedi Navaneet,Marina Ninoslav. Recent Advances in System Based Study for Anti-Malarial Drug Development Process. Current pharmaceutical design,2019,25(31):3367-3377.

[4] Tayari Nassim,Obels Jiri,Kobus Thiele,et al. Simple and broadly applicable automatic quality control for 3D 1 H MR spectroscopic imaging data of the prostate. Magnetic resonance in medicine,2019,81(5):2887-2895

[5] Sullivan Ryan M,Perlman Greg,Moeller Scott J. Meta-analysis of aberrant post-error slowing in substance use disorder: implications for behavioral adaptation and self-control. The European journal of neuroscience,2019,50(3): 2467-2476.

[6] Buurke Tom J W,Lamoth Claudine J C,Vervoort Danique,et al. Adaptive control of dynamic balance in human gait on a split-belt treadmill. The Journal of experimental biology,2018,221(Pt 13)

[7] Eliott Varon,Jean-Luc Aider,Yoann Eulalie,et al. Adaptive control of the dynamics of a fully turbulent bimodal wake using real-time PIV[J]. Experiments in Fluids,2019,60(8): 1-21.

[8] Lee Wai Chong,Yee Wan Wong,Rajprasad Kumar Rajkumar,et al. An adaptive learning control strategy for standalone PV system with battery-supercapacitor hybrid energy storage system. Journal of Power Sources,2018,394: 35-49.

[9] Bucca Giselda,Pothi Radhika,Hesketh Andrew,et al. Translational control plays an important role in the adaptive heat-shock response of Streptomyces coelicolor. Nucleic acids research,2018,46(11):5692-5703.

[10] Qin Y C,Jagat Jyoti Rath, Hu C,et al. Adaptive nonlinear active suspension control based on a robust road classifier with a modified super-twisting algorithm. Nonlinear Dynamics,2019,97(4): 2425-2442.

[11] Liu X L, Xiao J W, Chen D X,et al. Dynamic consensus of nonlinear time-delay multi-agent systems with input saturation: an impulsive control algorithm. Nonlinear Dynamics,2019,97(2):1699-1710.

[12]Killock David. Obesity associated with resistance to anti-angiogenic therapy. Nature reviews. Clinical oncology,2018,15(6).:344.

[13]Jiang H , Zhang H G. Iterative ADP learning algorithms for discrete-time multi-player games. Artificial Intelligence Review,2018,50(1):75-91.

[14] Coppola Mario,McGuire Kimberly N,Scheper Kirk Y W,et al. On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams. Autonomous robots,2018,42(8):1787-1805.

[15]Sun X Q, Zhang H Z, Cai Y F,et al. Hybrid modeling and predictive control of intelligent vehicle longitudinal velocity considering nonlinear tire dynamics. Nonlinear Dynamics,2019,97(2)1051-1066.