Abstract
Brushless DC motors (BLDC) have many advantages, such as simple structure and high reliability, and are now widely used in various fields. However, the nonlinear characteristics of the BLDC motor make it difficult for the traditional PID controller to meet the requirements of the motor control system. In this paper, a fuzzy PID-based control method is proposed to optimize the conventional PID control by intelligent fine-tuning of the control parameters. To verify the effectiveness of the proposed method, simulation experiments are carried out under various operating conditions using MATLAB/Simulink. The results of the simulations show a significant improvement in the control performance, with a reduction in the final rise time \(\left( {{\text{t}}_{{\text{r}}} } \right)\) by approximately 0.002 S, a significant reduction in the peak time \(\left( {{\text{t}}_{{\text{p}}} } \right)\), and the current can be smoothed out much faster. The results show that the motor control system designed in this paper has good responsiveness and robustness and high application value.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kim N-H, Yang O, Kim M-H (2007) BLDC motor control algorithm for industrial applications using a general purpose processor. J Power Electr 7(2):132–139
Ansari U, Alam S (2011) Modeling and control of three phase BLDC motor using PID with genetic algorithm. In: 2011 UkSim 13th international conference on computer modelling and simulation. IEEE, pp 189–194
Kommula BN, Kota VR (2022) Design of MFA-PSO based fractional order PID controller for effective torque controlled BLDC motor. Sustain Energy Technol Assess 49:101644
Mohanraj D, Aruldavid R, Verma R, Sathyasekar K, Barnawi AB, Chokkalingam B, Mihet-Popa L (2022) A review of BLDC motor: state of art, advanced control techniques, and applications. IEEE Access
Kommula BN, Kota VR (2022) An integrated converter topology for torque ripple minimization in BLDC motor using an ITSA technique. J Amb Intell Hum Comput 1–20
Hidayat N, Samman FA, Sadjad RS (2022) FPGA based controller of BLDC motor using trapezoid control. In: 2022 14th International conference on information technology and electrical engineering (ICITEE). IEEE, pp 58–63
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Hongqiang, Z., Ishak, D. (2024). A Novel Fuzzy PID Control Algorithm of BLDC Motor. In: Ahmad, N.S., Mohamad-Saleh, J., Teh, J. (eds) Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications. RoViSP 2021. Lecture Notes in Electrical Engineering, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-99-9005-4_9
Download citation
DOI: https://doi.org/10.1007/978-981-99-9005-4_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-9004-7
Online ISBN: 978-981-99-9005-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)