Author(s)

Jiangyao Lei ¹

Affiliation(s)

¹ College of Internet of Things Engineering, Jiangnan University, Jiangsu, Wuxi, 214122, China

Corresponding Author

Jiangyao Lei

ABSTRACT

At present, new energy automobiles has become the main trend and research direction of auto industry development. The traditional servo brushless DC motors have trouble controlling the speed because of its low motor efficiency, power factor and power density. In order to improve the control performance, a new energy vehicle control algorithm based on particle swarm optimization PID is proposed. According to the nonlinear and multi-variable characteristics of the brushless DC motor control system,the motor is modeled and analyzed, and then the PID method based on speed loop is adopted to realize the speed control of joints. Finally, the PSO algorithm is used to adjust the PID control to improve the control performance. Through Simulink simulation, it is proved that the performance of PSO-PID control is better than traditional PID control, and it has great practical significance in the new energy vehicle control of high and low speed, acceleration and deceleration and other aspects.

KEYWORDS

Brushless DC motor; Speed loop control; Simulink simulation; PSO algorithm

CITE THIS PAPER

Jiangyao Lei, Research on control of electric energy Vehicle based on PID optimized by PSO. Journal of Electrotechnology, Electrical Engineering and Management (2022) Vol. 5: 12-20. DOI: http://dx.doi.org/10.23977/jeeem.2022.050103.

REFERENCES

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