A new fuzzy control system based on the adaptive immersion and invariance control for brushless DC motors

2020 ◽  
Author(s):  
Akram Sedaghati ◽  
Naser Pariz ◽  
Mehdi Siahi ◽  
Roohollah Barzamini
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Brushless Dc Motors ◽  
Fuzzy Control System ◽  
Brushless Dc ◽  
Immersion And Invariance ◽  
Dc Motors ◽  
Invariance Control

Design of the Quad-Redundant Generators Based on CAN-Bus and Nonlinear PID

2012 ◽  
Vol 591-593 ◽  
pp. 140-143
Author(s):  
Yong Zhou ◽  
Yu Feng Zhang ◽  
Qi Xun Zhou
Keyword(s):  
Communication Network ◽  
Control System ◽  
Control Strategy ◽  
Control Structure ◽  
Can Bus ◽  
Hardware Platform ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Pid Algorithm ◽  
Dc Motors

A novel control system of Quad-Redundant generators with the CAN-bus communication network and nonlinear PID algorithm is designed in this paper. To enhance the reliability of this power generating units, a control strategy for the multi-DSC control network of four Brushless DC Motors is presented. The hardware platform of this structure is composed of host-computer, master controller and slave-controllers, on this platform every generator could be driven independently via the CAN-bus communication network. And the principle of the nonlinear PID parameters is proposed. Using this system, the control structure of generators could be simplified and the speed of communicating could be improved. At the end of this paper, the experiment results verified that the control system is reliable, the control strategy is rational, and the system has better dynamic response.

Variable Structure Control of the Brushless DC Motor

2011 ◽  
Vol 345 ◽  
pp. 79-82
Author(s):  
Xu Gang Wang ◽  
Xin Hua Li
Keyword(s):  
Control System ◽  
Sliding Mode ◽  
Tracking Error ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Brushless Dc Motors ◽  
Structure Control ◽  
Brushless Dc ◽  
Dc Motors ◽  
Result Show

In order to increase the degree of the angular velocity tracking precision of the brushless DC motors control system, the controller is designed using the variable structure control with sliding mode. The mathematical model of the brushless DC motors is built. The sliding mode function includes tracking error and the differential coefficient of the tracking error. In order to alleviate the chattering, the saturation function replaces the sign function. The simulation result show the tracking precision is high and the controller output has not obvious chattering. The controller meets the tracking precision of he brushless DC motors control system.

Design of BLDCM Fuzzy Control System for Electric Vehicle Based on DSP

2013 ◽  
Vol 274 ◽  
pp. 363-368
Author(s):  
Jia Bin Wen ◽  
Bin Yang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Electric Vehicle ◽  
Digital Signal Processor ◽  
Torque Ripple ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Loop Control ◽  
Fuzzy Control System ◽  
Brushless Dc

In this paper, the design of BLDCM fuzzy control system for electric vehicle which bases on TMS320F2812 Digital Signal Processor (DSP) is given. The design methods of hardware and software of the control system are described in details. Using of brushless DC motor current and speed double closed loop control, meanwhile, the fuzzy self-tuning PI algorithm is applied in the control system, and achieve the intelligent control of brushless DC motor control system. In this paper, the PWM control of the overlapping commutation method to suppress torque ripple. Experimental results show that this system has such characteristics as sound controlling effects, obvious restrain of torque pulsation and reliable operation.

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