A novel application of the adaptive fuzzy sliding-mode control (AFSMC) to the case of an antilock braking system (ABS) is proposed in this paper. ABS is a system in vehicles that allows the wheels to maintain tractive contact with the road and avoid uncontrolled skidding. By using ABS, the stopping distances on dry and slippery surfaces are expected to decrease. The maximum braking force is a nonlinear function of the slip ratios of the wheels, which is sensitive to the vehicle weight and road condition. In this research, a simple low-order model of the braking dynamics is considered and unmodeled dynamics are taken as uncertainties. The robust AFSMC method is used to regulate the wheel slip ratio toward the desired value. The proposed controller employs pulse width modulation (PWM) to generate the braking torque. There is no need to use any reference measured data or experimental knowledge of relevant experts to design the controller. A clear advantage is that the designed controller does not rely on the nonlinear tire–road friction model. The second Lyapunov theorem is employed to prove the closed-loop asymptotic stability. In the simulations, the multibody dynamics method is used for modeling the longitudinal motion of SAIPA X100 and X200 vehicle platforms. Furthermore, the actuation and the switching dynamics of the braking system are taken into account. Resulting performance is compared to the conventional sliding-mode and feedback linearization methods. Analysis of the simulation results reveals the effectiveness of proposed AFSMC method.
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January 2018
Research-Article
Comparison of Adaptive Fuzzy Sliding-Mode Pulse Width Modulation Control With Common Model-Based Nonlinear Controllers for Slip Control in Antilock Braking Systems
Alireza Mousavi,
Alireza Mousavi
Mechanical Engineering Department,
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: alirezamousavi@alumni.iust.ac.ir
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: alirezamousavi@alumni.iust.ac.ir
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Amir H. Davaie-Markazi,
Amir H. Davaie-Markazi
Mechanical Engineering Department,
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: markazi@iust.ac.ir
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: markazi@iust.ac.ir
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Saleh Masoudi
Saleh Masoudi
Mechanical Engineering Department,
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: salehmasoudi@alumni.iust.ac.ir
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: salehmasoudi@alumni.iust.ac.ir
Search for other works by this author on:
Alireza Mousavi
Mechanical Engineering Department,
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: alirezamousavi@alumni.iust.ac.ir
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: alirezamousavi@alumni.iust.ac.ir
Amir H. Davaie-Markazi
Mechanical Engineering Department,
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: markazi@iust.ac.ir
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: markazi@iust.ac.ir
Saleh Masoudi
Mechanical Engineering Department,
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: salehmasoudi@alumni.iust.ac.ir
Iran University of Science and Technology,
Narmak,
Tehran 16844, Iran
e-mail: salehmasoudi@alumni.iust.ac.ir
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received December 10, 2016; final manuscript received July 3, 2017; published online September 8, 2017. Assoc. Editor: Shankar Coimbatore Subramanian.
J. Dyn. Sys., Meas., Control. Jan 2018, 140(1): 011014 (15 pages)
Published Online: September 8, 2017
Article history
Received:
December 10, 2016
Revised:
July 3, 2017
Citation
Mousavi, A., Davaie-Markazi, A. H., and Masoudi, S. (September 8, 2017). "Comparison of Adaptive Fuzzy Sliding-Mode Pulse Width Modulation Control With Common Model-Based Nonlinear Controllers for Slip Control in Antilock Braking Systems." ASME. J. Dyn. Sys., Meas., Control. January 2018; 140(1): 011014. https://doi.org/10.1115/1.4037296
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