Performance improvement of a switched reluctance machine with segmental rotors for hybrid electric vehicles

Proceedings of the Institution of Mechanical Engineers, Part I:

et al. 2020

Self Cite

A novel four-phase 16/10 belt-driven starter generator segmented switched reluctance motor has been proposed in a previous work to reduce torque ripple and increase the fault tolerance ability. Based on the previous research, the segmented switched reluctance motor digital control system is designed and presented. The digital control system including a power converter, detection circuits, and protection circuits is introduced in detail. For detection circuits, the half-detection method is employed to decrease the cost of the system. In addition, based on MicroAutoBox DS1401, a rapid control prototype platform is established. With this software system, it is easy to transfer control models and realize real-time control directly. Then, the speed closed closed-loop control for the segmented switched reluctance motor is applied to verify the proposed system. It contains current chopper control at a low speed and angle position control at a high speed. The simulation results are given, including the flux, current, torque, and efficiency range over the entire speed range of the segmented switched reluctance motor. Finally, the experimental results are presented to verify the simulation results and the effectiveness of the system. It can be found that the simulation and experimental results are consistent and acceptable, which means that the proposed digital system can operate naturally and accurately under speed closed loop control. Hence, the proposed digital system has high compatibility and practicability.

Section: Design Of the Digital Control Systemmentioning

confidence: 99%

Development of a digital control system for a belt-driven starter generator segmented switched reluctance motor for hybrid electric vehicles

Chen

Wang

Proceedings of the Institution of Mechanical Engineers, Part I:

et al. 2020

Self Cite

“…Energy conversion device plays a significant role in the process of generation. Compared with the rotational permanent-magnet generator [1], the linear permanent-magnet generator has obvious superiority such as less transmission loss, no excitation current, simple structure and high generation efficiency [2][3][4][5][6][7]. Linear motors can be divided into many categories, such as the permanent magnet type, magnetic resistance type, induction type and so on.…”

Section: Aim and Difficultiesmentioning

confidence: 99%

High‐performance control for a permanent‐magnet linear synchronous generator using state feedback control scheme plus grey wolf optimisation

IET Electric Power Applications

Yang

et al. 2020

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This study proposes an optimal control scheme for a permanent-magnet linear synchronous generator (PMLSG) using the state feedback control (SFC) method plus the grey wolf optimisation (GWO) algorithm. First, A novel state-space model of linear PMLSG is established in order to obtain desired dynamics and enough power when used for the smooth wave energy. Second, the GWO algorithm is adopted to acquire weighting matrices Q and R in the process of optimising linear quadratic regulator (LQR). What is more, a penalty term is brought into the fitness index to reduce the overstrike of output voltage and keep the rate of work more stable. Finally, optimal LQR-based SFC with and without penalty term and proportionalintegral (PI) controllers are compared both in simulations and in experiments. Results clearly prove that the proposed optimal control strategy performs a better response when compared to other strategies.

“…The goal of SVM is to calculate the suitable voltage vector and action time [43], [44]. The control makes the BIM stator flux linkage reach a given position within a specified time.…”

Section: B Target Svmmentioning

confidence: 99%

Direct Torque and Suspension Force Control for Bearingless Induction Motors Based on Active Disturbance Rejection Control Scheme

Cheng

et al. 2019

IEEE Access

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The bearingless induction motor (BIM) system has the characteristics of non-linear, strongly coupled, and highly accurate. To achieve the stable and accurate control of BIM, the methods of direct torque control (DTC) and direct suspension force control (DSFC) based on space vector modulation (SVM) are introduced first. However, the dynamic performance and uncertain anti-jamming robustness of the system need to be further researched. Based on the BIM control system, the active disturbance rejection control (ADRC) technology is selected in this paper. The total disturbance of the system is estimated in real time by using the extended state observer (ESO). According to the estimated value of the ESO, the disturbance can be compensated by the ADRC in time to eliminate the steady-state tracking error to achieve good anti-interference performance. The ADRC-based direct torque and suspension force control system for the BIM is designed and simulated by the MATLAB software. The simulation and experiment results show that the ADRC technology can effectively suppress the impact of load disturbance, reduce the overshoot, and have strong robustness. INDEX TERMS Bearingless induction motor, active disturbance rejection control, space vector modulation, direct torque control, direct suspension force control.