A Fuzzy-based Sliding Mode Control Approach for Acceleration Slip Regulation of Battery Electric Vehicle

Shi, Qin; Wang, Mingwei; He, Zejia; Yang, Cheng; Wei, Yujiang; He, Lin

doi:10.1186/s10033-022-00729-w

Cited by 10 publications

(4 citation statements)

References 22 publications

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“…A multi-parameter mathematical formula including thermal effect is presented to describe the friction characteristics, and the influence of the variable friction coefficient on actual braking force control is proven via hardware-in-the-loop simulation (HILS). In [8], the pneumatic valve of a train pneumatic braking system is calculated via sliding mode control, and the wheel anti-skid control of the rail vehicle pneumatic braking system is designed and verified in HILS. In [9], for solving the wheel skidding problem of electric vehicles during acceleration when a vehicle starts, a sliding mode control method for acceleration and slip rate is designed.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Neural Network PID-Based Constant Deceleration Control for Automated Mine Electric Vehicles Using EMB System

Li,

Ma,

Jiang

2024

Sensors

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It is urgent for automated electric transportation vehicles in coal mines to have the ability of self-adaptive tracking target constant deceleration to ensure stable and safe braking effects in long underground roadways. However, the current braking control system of underground electric trackless rubber-tired vehicles (UETRVs) still adopts multi-level constant braking torque control, which cannot achieve target deceleration closed-loop control. To overcome the disadvantages of lower safety and comfort, and the non-precise stopping distance, this article describes the architecture and working principle of constant deceleration braking systems with an electro-mechanical braking actuator. Then, a deceleration closed-loop control algorithm based on fuzzy neural network PID is proposed and simulated in Matlab/Simulink. Finally, an actual brake control unit (BCU) is built and tested in a real industrial field setting. The test illustrates the feasibility of this constant deceleration control algorithm, which can achieve constant decelerations within a very short time and maintain a constant value of −2.5 m/s2 within a deviation of ±0.1 m/s2, compared with the deviation of 0.11 m/s2 of fuzzy PID and the deviation of 0.13 m/s2 of classic PID. This BCU can provide electric and automated mine vehicles with active and smooth deceleration performance, which improves the level of electrification and automation for mine transport machinery.

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Section: Introductionmentioning

confidence: 99%

Fuzzy Neural Network PID-Based Constant Deceleration Control for Automated Mine Electric Vehicles Using EMB System

Li,

Ma,

Jiang

2024

Sensors

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“…Besides, as control theory continues to advance, a series of control methods have been proposed, such as PID control [20,21], sliding model control [22,23] and adaptive robust control [24][25][26]. Some instances are as follow, in [27], a control method for nonlinear system was proposed based on the robust control and PID control, and it has been applied to solve the position tracking control of motor.…”

Section: Introductionmentioning

confidence: 99%

Constraint-following control for dynamic systems with comprehensive constraints: the generalized Udwadia–Kalaba approach

Yu,

Lu,

Zhu

et al. 2024

Meas. Sci. Technol.

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A novel Generalized Udwadia-Kalaba (GUK) control method is proposed in this paper to effectively deal with the constraint-following problem with comprehensive constraints, be it equality constraints or inequality constraints. Fully considering the complex application scenario in practice which encompassed both clear and feasible trajectory, the equality constraints and inequality constraints are simultaneously applied to design rational and reliable controller. Specifically, a state transformation function is introduced to describe the inequality constraints. Further, the dynamic model with comprehensive constraints is established based on the GUK theory. Then, a corresponding constraint-following control is presented to render the system performance, uniform boundedness and uniform ultimate boundedness. The effectiveness of the GUK control is verfied by the stability analysis based on Lyapunov minimax approach and experimental verification of unmanned underwater vehicle (UUV). The desired control performances of UUV, constraint-following and collision avoidance, can be achieved. As an illustrative application, the UUV is designed to navigate through narrow sea trenches. Meanwhile, through comparative analysis with the linear quadratic regulator (LQR) method and Udwadia-Kalaba (UK) method, the superiority of this approach is demonstrated.

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“…With the increasingly stringent requirement of achieving netzero emission, new-energy vehicles, such as electric vehicles (EVs), have garnered significant attention. Great efforts from both academia and industry have been invested in this field to improve the reliability of such vehicles, particularly EVs [1],…”

Section: Introductionmentioning

confidence: 99%

Rapid Online Fault Diagnosis of High-Resistance Connection in PMSM Drive System through Self-Developed Dynamic Simulation Test System

Guo

Yang

et al. 2023

Preprint

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High-resistance connections (HRC) in permanent magnet synchronous motor (PMSM) drive system is a precursor of uncontrollable overheating or fire. However, the current HRC test environment is typically founded on fixed resistors and lacks the capability to simulate the dynamic characteristics of real-world HRC faults in a manner of stepless regulation. To fill the gap, a flexible HRC injection strategy is proposed in this paper. This signal is stimulated by a high-frequency equivalent circuit regulated by closed-loop hardware feedback mechanism, which is then integrated into a self-developed HRC dynamic test system. Meanwhile, to reduce dependence on online resources, a rapid online diagnosis method for detecting HRC in PMSM is proposed. Based on the two-phase current, the negative-sequence currents are calculated and subjected to Fast Fourier Transform analysis, fulfilling the requirements of low computational burden and real-time performance. Furthermore, the fault indicators derived from the mathematical model of PMSM in abc framework are established to detect the HRC fault, obviating the need for additional voltage sensors. Finally, various experiments are conducted under different loads and rotational speeds. The experimental results show that the proposed simulation system can solve the problems of HRC simulation with quick responses, continuous control, and high robustness in high-power circuits. The results also prove that the proposed diagnosis method can not only effectively detect the location of HRC, but also can precisely calculate the resistance.

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A Fuzzy-based Sliding Mode Control Approach for Acceleration Slip Regulation of Battery Electric Vehicle

Cited by 10 publications

References 22 publications

Fuzzy Neural Network PID-Based Constant Deceleration Control for Automated Mine Electric Vehicles Using EMB System

Fuzzy Neural Network PID-Based Constant Deceleration Control for Automated Mine Electric Vehicles Using EMB System

Constraint-following control for dynamic systems with comprehensive constraints: the generalized Udwadia–Kalaba approach

Rapid Online Fault Diagnosis of High-Resistance Connection in PMSM Drive System through Self-Developed Dynamic Simulation Test System

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