Enhanced pid vs model predictive control applied to bldc motor

2017 2nd International Conference on Functional Materials and Metallurgy

材料科学;冶金学

Gaya, M.S.^1 ; Muhammad, Auwal^2 ; Abdulkadir, Rabiu Aliyu^1 ; Salim, S.N.S.^3 ; Madugu, I.S.^1 ; Tijjani, Aminu^1 ; Aminu Yusuf, Lukman^4 ; Dauda Umar, Ibrahim^2 ; Khairi, M.T.M.^5

Dept of Electrical Engineering, Kano University of Science and Technology, Wudil, Nigeria^1

Dept of Physics, Kano University of Science and Technology, Wudil, Nigeria^2

Dept of Industrial Automation and Robotic, Universiti Teknikal Malaysia, Melaka, Malaysia^3

Dept of Electrical Engineering, Bayero University, Kano, Nigeria^4

Dept of Control and Mechatronics, Universiti Teknologi Malaysia, Skudai, Nigeria^5

关键词: Advanced control strategy;    Brushless direct current motor;    Complex nonlinear system;    Conventional algorithms;    Internal parameters;    Multi variables;    Performance comparison;    Reference signals;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/303/1/012017/pdf
DOI  :  10.1088/1757-899X/303/1/012017

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

BrushLess Direct Current (BLDC) motor is a multivariable and highly complex nonlinear system. Variation of internal parameter values with environment or reference signal increases the difficulty in controlling the BLDC effectively. Advanced control strategies (like model predictive control) often have to be integrated to satisfy the control desires. Enhancing or proper tuning of a conventional algorithm results in achieving the desired performance. This paper presents a performance comparison of Enhanced PID and Model Predictive Control (MPC) applied to brushless direct current motor. The simulation results demonstrated that the PSO-PID is slightly better than the PID and MPC in tracking the trajectory of the reference signal. The proposed scheme could be useful algorithms for the system.