Genetic PI based model and path tracking control of four traction electrical vehicle

Doğan, Muhsin Uğur; Güvenç, Uğur; Elmas, Çetin

doi:10.1007/s00202-020-01015-5

Cited by 5 publications

(2 citation statements)

References 44 publications

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“…The research on the control of the motor torque of electric vehicles is relatively rich and adequate, but the research on the control of the motor speed is almost a blank up to now. Dogan et al 8 proposed a robust adaptive electric vehicle control model and position control method based on vehicle dynamics, which provided a reference for the mathematical modeling of this study. The bicycle model (also known as the monorail model) used by Park et al 9 in his thesis helped to model the entire 4WD electric vehicle for this study.…”

Section: Introductionmentioning

confidence: 99%

“…Dogan et al 8 proposed a robust adaptive electric vehicle control model and position control method based on vehicle dynamics, which provided a reference for the mathematical modeling of this study. The bicycle model (also known as the monorail model) used by Park et al 9 in his thesis helped to model the entire 4WD electric vehicle for this study.…”

Section: Introductionmentioning

confidence: 99%

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In-wheel motor control system used by four-wheel drive electric vehicle based on whale optimization algorithm-proportional–integral–derivative control

Zhai

Ping

Zhang

et al. 2022

Advances in Mechanical Engineering

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Aiming to more accurately control the wheel speed of an electric vehicle (EV) driven by four in-wheel motors, a developed whale optimization algorithm-proportional–integral–derivative (KW-WOA-PID) control algorithm is proposed herein. In this study, mathematical and simulation models are built for EVs by analyzing the mechanical structures of EVs driven by four in-wheel motors. Simulations are conducted, and the driving and control requirements for the in-wheel motors are obtained. Then, mathematical and simulation models are built for a specific in-wheel motor. The whale optimization algorithm (WOA) is optimized by kent mapping and the adaptive weight coefficient to improve the ability of the algorithm to jump out of the local optimum and the convergence speed and convergence accuracy of WOA. Then the further simulations are conducted. The simulation results display that the maximum overshoot and adjustment time of the motor under KW-WOA-PID control are significantly optimized. Then, a speed-control bench test system is built for the in-wheel motor, and real-life experiments were conducted. The experimental results verify that KW-WOA-PID has higher control accuracy and a better response performance; accordingly, the developed control algorithm can meet driving requirements. The handling stability of EVs is effectively improved by controlling the motor speed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

In-wheel motor control system used by four-wheel drive electric vehicle based on whale optimization algorithm-proportional–integral–derivative control

Zhai

Ping

Zhang

et al. 2022

Advances in Mechanical Engineering

View full text Add to dashboard Cite

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Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey

Khan

Ullah

et al. 2022

Expert Systems with Applications

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Electronic Differential Control System Based on Particle Swarm Optimization and PID Control

Dong-xue

Chenyan

2022

J. Phys.: Conf. Ser.

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For the front wheel steering, the control effect of the four-wheel hub-driven electric vehicle driven by the rear wheel is not accurate and stable. It is proposed to replace the traditional PID control system with the particle swarm algorithm to realize the online optimization of the PID regulator parameters. The simulation model of the improved system is built in MATLAB. Compared with the conventional PID control method, the results show that the improved four-wheel drive system has a smaller slip ratio between the left rear wheel and the right rear wheel, which improves the directional stability and braking efficiency of the wheel electric vehicle.

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Genetic PI based model and path tracking control of four traction electrical vehicle

Cited by 5 publications

References 44 publications

In-wheel motor control system used by four-wheel drive electric vehicle based on whale optimization algorithm-proportional–integral–derivative control

In-wheel motor control system used by four-wheel drive electric vehicle based on whale optimization algorithm-proportional–integral–derivative control

Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey

Electronic Differential Control System Based on Particle Swarm Optimization and PID Control

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