Anti-lock brake system control for buses based on fuzzy logic and a sliding-mode observer

2001 ◽  
Vol 15 (10) ◽  
pp. 1398-1407 ◽  
Author(s):  
Jong Hyeon Park ◽  
Dong Hee Kim ◽  
Yong Ju Kim
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Brake System ◽  
System Control

A super-twisting sliding mode observer for boost inverter-based hybrid photovoltaic -battery system control

2020 ◽  
Vol 42 (12) ◽  
pp. 2139-2154
Author(s):  
Akshaya K Pati ◽  
Nirod C Sahoo
Keyword(s):  
Sliding Mode ◽  
Sudden Change ◽  
Operating Conditions ◽  
Sliding Mode Observer ◽  
System Control ◽  
Pv System ◽  
Battery System ◽  
Three Phase ◽  
Control Scheme ◽  
Capacitor Voltage

This paper proposes an observer-based control scheme for a three-phase differential boost inverter in a hybrid PV-battery system. In a conventional control scheme for three-phase differential boost inverter (DBI)-based PV system, the measurements of input inductor current and voltage across output capacitors are required for obtaining the desired voltage at the load end. In a typical three-phase differential boost inverter operation, four voltage sensors and seven current sensors are required to achieve the desired AC voltage. In this paper, an observer-based strategy for elimination of these sensors without compromising power quality is reported. For estimation of boost inverter inductor current and output capacitor voltage, only DC-link capacitor voltage and the load currents are measured. A super-twisting sliding mode observer is used for estimation of the states of the boost inverter. A comparative study between the first-order sliding mode observer and super-twisting sliding mode observer is also presented. The simulation and experimental results show that the proposed observer-based control scheme works satisfactorily under various operating conditions such as sudden change of load, changes in solar insolation, and also under unbalanced load conditions.

scholarly journals Integrated model control of brake–wheel system using bond graph method

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401878285 ◽  
Author(s):  
Jian Zhao ◽  
Zhiqiang Hu ◽  
Bing Zhu ◽  
Jiapeng Gong
Keyword(s):  
Sliding Mode ◽  
Pressure Sensors ◽  
Graph Model ◽  
Bond Graph ◽  
Integrated Model ◽  
Brake System ◽  
System Control ◽  
Graph Method ◽  
Highly Nonlinear ◽  
Model Control

Brake system is an important actuator of most active safety systems equipped on vehicles. It combines with the wheel to make vehicle decelerate and finally stop it. Moreover, brake system is an electronic, mechanical, and hydraulic hybrid system; it contains some highly nonlinear characters, which is a challenge to system control. In this article, an integrated model of brake system and single-wheel system using bond graph method is developed, in which the nonlinear characters of the volumetric compliance effect of brake fluid and the resistance effect of valves are taken into consideration. The accuracy and reliability of the brake system is verified by experiment. Nonlinear sliding-mode controller as well as sliding-mode observer is proposed. The controller is used to modulate inlet and outlet valves control signals according to the vehicle states, which will lead to cancel the usage of wheel cylinder pressure sensors. The controller is analyzed by different tire–road friction coefficient conditions. The results show that the proposed integrated bond graph model is accurate, and the nonlinear sliding-mode control is reliable on valves control signal regulation.

A new sliding-mode controller design methodology with derivative switching function for anti-lock brake system

2013 ◽  
Vol 227 (11) ◽  
pp. 2487-2503 ◽  
Author(s):  
Ahmet Okyay ◽  
Ender Cigeroglu ◽  
S Çağlar Başlamışlı
Keyword(s):  
Controller Design ◽  
Sliding Mode ◽  
Brake System ◽  
Design Parameters ◽  
Switching Function ◽  
System Control ◽  
Sliding Mode Controller ◽  
Optimized Design ◽  
Sliding Surface ◽  
Integral Sliding Surface

In this study, anti-lock brake system control using sliding-mode controller is investigated. Different alternatives for the switching function and the sliding surface, involved in the structure of the sliding-mode controller, are explored. It was aimed to reach a better controller performance with less chattering and robustness to actuator imperfections. Regarding applicability, tire force response was modeled as a uniformly distributed uncertain parameter during controller designs. Controllers are simulated for both constant and varying coefficient of friction roads, with optimized design parameters. The effects of actuator first-order dynamics and transportation delay, which come up in practical implementations, were considered. The sliding-mode control structure which employs derivative switching function with integral sliding surface is originally proposed in this study. It is found to produce less chattering and provide more robustness, which could not be achieved side by side using former designs.

scholarly journals State of Charge Estimation for Power Lithium-Ion Battery Using a Fuzzy Logic Sliding Mode Observer

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2491 ◽  
Author(s):  
Wenhui Zheng ◽  
Bizhong Xia ◽  
Wei Wang ◽  
Yongzhi Lai ◽  
Mingwang Wang ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode ◽  
Estimation Error ◽  
Equivalent Circuit Model ◽  
Lithium Ion ◽  
Sliding Mode Observer ◽  
State Of Charge ◽  
Battery Management System ◽  
Test Results ◽  
Soc Estimation

State of charge (SOC) estimation is of vital importance for the battery management system in electric vehicles. This paper proposes a new fuzzy logic sliding mode observer for SOC estimation. The second-order resistor-capacitor equivalent circuit model is used to describe the discharging/charging behavior of the battery. The exponential fitting method is applied to determine the parameters of the model. The fuzzy logic controller is introduced to improve the performance of sliding mode observer forming the fuzzy logic sliding mode observer (FLSMO). The Federal Urban Driving Schedule (FUDS), the West Virginia Suburban Driving Schedule (WUBSUB), and the New European Driving Cycle (NEDC) schedule test results show that the average SOC estimation error of FLSMO algorithm is less than 1%. When the initial SOC estimation error is 20%, the FLSMO algorithm can converge to 3% error boundary within 2400 s. Comparison test results show that the FLSMO algorithm has better performance than the sliding mode observer and the extended Kalman filter in terms of robustness against measurement noise and parameter disturbances.

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