Abstract
As a complex system with multiple variables, nonlinearity, and strong coupling, the BLDCM (Brushless Direct Current Motor) has many problems, such as bad parameter tuning, poor adaptability, low control accuracy, and weak anti-interference ability by using the double closed loop traditional PI (Proportional Integral) control algorithm. In order to obtain good control performance, a fuzzy parameter adaptive PI algorithm based on speed loop was designed by combining fuzzy control with traditional PI control. This paper analyzes the mathematical model and operating characteristics of the BLDCM and designs a fuzzy system that takes the deviation e and deviation change rate ec of the reference speed and feedback speed as input and takes the corresponding PI adjustment parameters as output. The step response of the BLDCM at different reference speeds is analyzed. The variable speed response with the initial speed of 4000 r/min under different control algorithms and the changes in the three-phase current, back electromotive force, and electromagnetic torque in this state are compared. The results show that the designed fuzzy parameter adaptive PI algorithm based on the speed loop can make the motor have a faster response time, a smaller overshoot, and a steady-state error when the motor achieves the stable operation. The proposed algorithm also has better control effect, robustness, and stable operation under variable speed conditions.
Highlights
With the rapid development of modern power electronics and computer technology, the BLDCM (Brushless Direct Current Motor) has been widely used in electric automotive, military, aerospace, robotics, precision machine tools, and industrial fields due to its simple structure, low noise, good mechanical properties, and high efficiency.1–4 It is generally considered that a trapezoidal wave/square wave motor with a series-excited DC (Direct Current) motor starting characteristic and a synchronous DC motor speed regulation characteristic is called a BLDCM.5,6 The BLDCM owes its origin to an attempt to invert the brush DC machine to remove the need for the commutator and brush gear
This paper presents a fuzzy parameter adaptive PI control algorithm that used in the BLDCM control system, which combines the fuzzy control with the traditional PI algorithm
The mathematical model of the BLDCM, the principle of the fuzzy parameter adaptive PI control algorithm, and the comparative analysis of the performance of various parameters for the step response of the motor speed are introduced in this paper, respectively
Summary
With the rapid development of modern power electronics and computer technology, the BLDCM (Brushless Direct Current Motor) has been widely used in electric automotive, military, aerospace, robotics, precision machine tools, and industrial fields due to its simple structure, low noise, good mechanical properties, and high efficiency. It is generally considered that a trapezoidal wave/square wave motor with a series-excited DC (Direct Current) motor starting characteristic and a synchronous DC motor speed regulation characteristic is called a BLDCM. The BLDCM owes its origin to an attempt to invert the brush DC machine to remove the need for the commutator and brush gear. With the rapid development of modern power electronics and computer technology, the BLDCM (Brushless Direct Current Motor) has been widely used in electric automotive, military, aerospace, robotics, precision machine tools, and industrial fields due to its simple structure, low noise, good mechanical properties, and high efficiency.. The commutator in the brush DC machine converts the input DC into approximately rectangular shaped currents of variable frequency By applying this rectangular shaped current directly to the stator of the BLDCM and transferring the field excitation to the rotor in the form of a permanent magnet, an inversion of the brush DC machine has taken place with the advantage that the new inverted machine does not have a mechanical commutator and brush gear, the name “brushless DC machine.” High performance drive control is the basis for the stable operation of the motor. It is difficult to achieve the desired control effect using conventional linear control methods. it has motivated many works to develop tuning and adaptation techniques to cope with nonlinear industrial processes
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