Fail-Safe Control Strategy of Traction Motor in Electric Mobility with Sensorless Control Scheme

In this paper, a novel control strategy is presented for reinforcement learning with disturbance compensation to solve the problem of quadrotor positioning under external disturbance. The proposed control scheme applies a trained neural-network-based reinforcement learning agent to control the quadrotor, and its output is directly mapped to four actuators in an end-to-end manner. The proposed control scheme constructs a disturbance observer to estimate the external forces exerted on the three axes of the quadrotor, such as wind gusts in an outdoor environment. By introducing an interference compensator into the neural network control agent, the tracking accuracy and robustness were significantly increased in indoor and outdoor experiments. The experimental results indicate that the proposed control strategy is highly robust to external disturbances. In the experiments, compensation improved control accuracy and reduced positioning error by 75%. To the best of our knowledge, this study is the first to achieve quadrotor positioning control through low-level reinforcement learning by using a global positioning system in an outdoor environment.

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Fault Tolerant Sensorless Control Strategy With Multi-States Switching Method for In-Wheel Electric Vehicle

IEEE Access ◽

10.1109/access.2021.3072700 ◽

2021 ◽

Vol 9 ◽

pp. 61150-61158

Author(s):

Zihui Wang ◽

Jincai Shao ◽

Zhiyuan He

Keyword(s):

Electric Vehicle ◽

Control Strategy ◽

Fault Tolerant ◽

Sensorless Control ◽

Switching Method

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Stability analysis of adaptive control using fuzzy adapting rate neural emulator: Experimental validation on a thermal process

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651820988189 ◽

2021 ◽

pp. 095965182098818

Author(s):

Fatma Ezzahra Rhili ◽

Asma Atig ◽

Ridha Ben Abdennour ◽

Fabrice Druaux ◽

Dimitri Lefebvre

Keyword(s):

Adaptive Control ◽

Control Strategy ◽

Thermal Process ◽

Experimental Validation ◽

Experimental Simulation ◽

Neural Controller ◽

Control Scheme ◽

Stability Method ◽

Indirect Adaptive Control ◽

Adaptive Control Scheme

In this study, an adaptive control based on fuzzy adapting rate for neural emulator of nonlinear systems having unknown dynamics is proposed. The indirect adaptive control scheme is composed by the neural emulator and the neural controller which are connected by an autonomous algorithm inspired from the real-time recurrent learning. In order to ensure stability and faster convergence, a neural controller adapting rate is established in the sense of the continuous Lyapunov stability method. Numerical simulations are included to illustrate the effectiveness of the proposed method. The performance of the proposed control strategy is also demonstrated through an experimental simulation.

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Rotor Position Estimation Approaches for Sensorless Control of Permanent Magnet Traction Motor in Electric Vehicles: A Review

World Electric Vehicle Journal ◽

10.3390/wevj12010009 ◽

2021 ◽

Vol 12 (1) ◽

pp. 9

Author(s):

Yong Li ◽

Hao Wu ◽

Xing Xu ◽

Xiaodong Sun ◽

Jindong Zhao

Keyword(s):

Permanent Magnet ◽

Sensorless Control ◽

Position Estimation ◽

Control Technology ◽

Permanent Magnet Motor ◽

Traction Motor ◽

Position Information ◽

Rotor Position ◽

Control Techniques ◽

Speed Range

Permanent magnet traction motor has the advantages of high efficiency, high power density, high torque density and quick dynamic response, which has been widely used in the traction field of electric vehicle. The high-performance control of permanent magnet traction motor depends on accurate rotor position information, which is usually obtained by using mechanical position sensors such as hall sensor, encoder and rotary transformer. However, the traditional mechanical sensor has the disadvantages of high cost, large volume and poor anti-interference ability, which limits the application of permanent magnet motor. The sensorless control technology is an effective way to solve the above-mentioned problem. Firstly, the sensorless control techniques of permanent magnet motor are classified. The sensorless control techniques of permanent magnet motor for rotor initial position, zero-low speed range, medium-high speed range and full speed range are deeply described and compared. Finally, the development trend of sensorless control technology of permanent magnet traction motor is prospected.

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Control Strategy of AC Electrical Dynamometer Module in MTR Traction Motor Comprehensive Intelligent Test System

Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering ◽

10.1145/3452940.3452966 ◽

2020 ◽

Author(s):

Yongchao Xie

Keyword(s):

Control Strategy ◽

Test System ◽

Traction Motor

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Optimal control of a novel uninterrupted multi-speed transmission for hybrid electric mining trucks

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1177/0954407018821524 ◽

2019 ◽

Vol 233 (12) ◽

pp. 3235-3245 ◽

Cited By ~ 2

Author(s):

Weiwei Yang ◽

Jiejunyi Liang ◽

Jue Yang ◽

Nong Zhang

Keyword(s):

Dynamic Programming ◽

Real Time ◽

Control Strategy ◽

Dynamic Models ◽

Fuel Efficiency ◽

Real Time Control ◽

Traction Motor ◽

Time Control ◽

Power Split ◽

Shift Strategy

Considering the energy consumption and specific performance requirements of mining trucks, a novel uninterrupted multi-speed transmission is proposed in this paper, which is composed of a power-split device, and a three-speed lay-shaft transmission with a traction motor. The power-split device is adapted to enhance the efficiency of the engine by adjusting the gear ratio continuously. The three-speed lay-shaft transmission is designed based on the efficiency map of traction motor to guarantee the drivability. The combination of the power-split device and three-speed lay-shaft transmission can realize uninterrupted gear shifting with the proposed shift strategy, which benefits from the proposed adjunct function by adequately compensating the torque hole. The detailed dynamic models of the system are built to verify the effectiveness of the proposed shift strategy. To evaluate the maximum fuel efficiency that the proposed uninterrupted multi-speed transmission could achieve, dynamic programming is implemented as the baseline. Due to the “dimension curse” of dynamic programming, a real-time control strategy is designed, which can significantly improve the computing efficiency. The simulation results demonstrate that the proposed uninterrupted multi-speed transmission with dynamic programming and real-time control strategy can improve fuel efficiency by 11.63% and 8.51% compared with conventional automated manual transmission system, respectively.

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NEURAL MODELING AND CONTROL OF DYNAMIC SYSTEMS WITH HYSTERESIS

Transactions of the Canadian Society for Mechanical Engineering ◽

10.1139/tcsme-2007-0008 ◽

2007 ◽

Vol 31 (1) ◽

pp. 127-141

Author(s):

Yonghong Tan ◽

Xinlong Zhao

Keyword(s):

Dynamic Systems ◽

Control Strategy ◽

Neural Modeling ◽

Modeling And Control ◽

Control Scheme ◽

The Neural Networks ◽

Adaptive Control Strategy ◽

Set Up ◽

Modeling Strategy ◽

And Control

A hysteretic operator is proposed to set up an expanded input space so as to transform the multi-valued mapping of hysteresis to a one-to-one mapping so that the neural networks can be applied to model of the behavior of hysteresis. Based on the proposed neural modeling strategy for hysteresis, a pseudo control scheme is developed to handle the control of nonlinear dynamic systems with hysteresis. A neural estimator is constructed to predict the system residual so that it avoids constructing the inverse model of hysteresis. Thus, the control strategy can be used for the case where the output of hysteresis is unmeasurable directly. Then, the corresponding adaptive control strategy is presented. The application of the novel modeling approach to hysteresis in a piezoelectric actuator is illustrated. Then a numerical example of using the proposed control strategy for a nonlinear system with hysteresis is presented.

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