Braking Torque Closed-Loop Control of Switched Reluctance Machines for Electric Vehicles

Cheng, He; Chen, Hao; Zhou, Yang; Huang, Weilong

doi:10.6113/jpe.2015.15.2.469

Cited by 11 publications

(9 citation statements)

References 20 publications

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“…Since the final control object is current, the method of transforming torque error to the reference current is designed. The instantaneous torque is introduced to compensate for the reference current in advance, and the PD controller is used to compensate [31]. The structure designed is shown in Figure 3.…”

Section: Relationship Between Reference Torque and Instant Torquementioning

confidence: 99%

“…Reference torque, instant torque deviation, and rotor angle are input into the fuzzy controller to obtain compensation current [30]. The feed-forward plus torque compensation can reduce the dynamic response time and improve the steady-state accuracy of electromagnetic torque [31]. The fuzzy compensator adjusts the torque error, and the torque ripple can also be reduced by compensating the result to the reference torque [32].…”

Section: Introductionmentioning

confidence: 99%

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Torque Ripple Suppression of Switched Reluctance Motor with Reference Torque Online Correction

et al. 2023

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High torque ripple dramatically affects the switched reluctance motor (SRM) application. To reduce the torque ripple, a reference torque neural network (RTNN) is proposed to adjust the reference torque online. Firstly, the RTNN is built on the torque sharing function (TSF) method. Furthermore, the RTNN is designed as a single-input and -output network. As the periodic relationship between the torque ripple and the rotor angle, the rotor angle constitutes the central node parameter of the implicit function in RTNN. Therefore, one-step adjustment of the RTNN can perform well at restraining reference torque. Lastly, the torque error is used to adjust the parameters of RTNN to reduce the torque ripple. In the MATLAB environment, through the simulation comparison with fuzzy torque and PD current compensation method, the effectiveness of RTNN at torque ripple suppression is proven with different loads and speeds.

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Section: Relationship Between Reference Torque and Instant Torquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Torque Ripple Suppression of Switched Reluctance Motor with Reference Torque Online Correction

et al. 2023

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“…Jin and Feng et al [9] built an EMB bench and tested both the openloop control method and the single close-loop force control method on this bench. For the purposes of improving the tracking control ability of the braking force, He Cheng et al [10] designed a braking torque closed-loop control method based on a switch reluctance motor (SRM), which can achieve fast close-loop regulation. For the purposes of solving the nonlinear and disturbance problems of EMB systems, Soohyeon Kwon et al [11] considered EMB to be affected by both linear and nonlinear aspects and designed a force estimator based on the Kalman filter (KF).…”

Section: Introductionmentioning

confidence: 99%

Variable Universe Fuzzy–Proportional-Integral-Differential-Based Braking Force Control of Electro-Mechanical Brakes for Mine Underground Electric Trackless Rubber-Tired Vehicles

Li,

Jiang

2024

Sensors

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Currently, the main solution for braking systems for underground electric trackless rubber-tired vehicles (UETRVs) is traditional hydraulic braking systems, which have the disadvantages of hydraulic pressure crawling, the risk of oil leakage and a high maintenance cost. An electro-mechanical-braking (EMB) system, as a type of novel brake-by-wire (BBW) system, can eliminate the above shortcomings and play a significant role in enhancing the intelligence level of the braking system in order to meet the motion control requirements of unmanned UETRVs. Among these requirements, the accurate control of clamping force is a key technology in controlling performance and the practical implementation of EMB systems. In order to achieve an adaptive clamping force control performance of an EMB system, an optimized fuzzy proportional-integral-differential (PID) controller is proposed, where the improved fuzzy algorithm is utilized to adaptively adjust the gain parameters of classic PID. In order to compensate for the deficiency of single-close-loop control and adjusting the brake gap automatically, a cascaded three-closed-loop control architecture with force/position switch technology is established, where a contact point detection method utilizing motor rotor angle displacement is proposed via experiments. The results of the simulation and experiments indicate that the clamping force response of the proposed multi-close-loop Variable Universe Fuzzy–PID (VUF-PID) controller is faster than the multi-closed-loop Fuzzy–PID and cascaded three-close-loop PID controllers. In addition, the chattering of braking force can be suppressed by 17%. This EMB system may rapidly and automatically finish the operation of the overall braking process, including gap elimination, clamping force tracking and gap recovery, which can obviously enhance the precision of the longitudinal motion control of UETRVs. It can thus serve as a BBW actuator of mine autonomous driving electric vehicles, especially in the stage of braking control.

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“…Among various types of motor drives for EVs, a permanent magnet synchronous motor (PMSM) drive is attractive due to its commercial merits, such as its high efficiency and high power density [1][2][3][4]. In terms of PMSM drive technologies, traditional control techniques mainly consist of vector control (VC) and direct torque control (DTC) [5,6].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Predictive Current Control of a Permanent Magnet Synchronous Motor Powered by a Three-Level Inverter

Zhou

Zhu

et al. 2021

Applied Sciences

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Permanent magnet synchronous motors and their relevant control techniques have become more and more prevalent in electric vehicle driving applications because of their outstanding performance. This paper studies a simple and effective sensorless scheme based on a current observer for a permanent magnet synchronous motor powered by a three-level inverter, which avoids the injection of a high-frequency signal and the observation of back-electromotive force. In this way, a current observer is constructed to observe d–q-axes currents by relying on an extended-current model. Thereafter, the position and speed of the machine can be extracted from two PI controllers associated with the d–q-axes current-tracking errors. Meanwhile, it takes into account the model predictive current control with neutral-point voltage balance to maintain the stability of the three-level inverter system. In general, this scheme realizes sensorless operation in a full-speed domain and is no longer limited by the types of inverter and method used.

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Braking Torque Closed-Loop Control of Switched Reluctance Machines for Electric Vehicles

Cited by 11 publications

References 20 publications

Torque Ripple Suppression of Switched Reluctance Motor with Reference Torque Online Correction

Torque Ripple Suppression of Switched Reluctance Motor with Reference Torque Online Correction

Variable Universe Fuzzy–Proportional-Integral-Differential-Based Braking Force Control of Electro-Mechanical Brakes for Mine Underground Electric Trackless Rubber-Tired Vehicles

Sensorless Predictive Current Control of a Permanent Magnet Synchronous Motor Powered by a Three-Level Inverter

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