Motor Control System Based on DSP Four-Bridge Arm Topology

2014 ◽  
Vol 644-650 ◽  
pp. 553-558
Author(s):  
Juan Feng
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Method ◽  
Dimensional Space ◽  
Asynchronous Motor ◽  
Speed Control ◽  
Torque Ripple ◽  
Space Vector ◽  
Speed Control System ◽  
Motor Control System

This paper proposes a space vector motor control system based on DSP four-legged bridge topology A three-dimensional space vector control principle based on four-bridge arm three-phase inverter is introduced with a MATLAB model using space vector Motor Control Algorithm instead of traditional Motor Control method. A DSP experimental setup is also carried out to verify the control theory and simulation result. The experiment and simulation results show that the speed control system helps the asynchronous motor to achieve the consistent response characteristics with separately excited DC machine. When the motor doesn't work or the load is unstable, asynchronous motor can still achieve excellent electrical characteristics with the proposed speed control system, such as quick start, small overshoot and static torque ripple.

Design of speed control system in biogas fuel generator set by using PID control method

2020 ◽  
Author(s):  
Arief Abdurrakhman ◽  
Bambang Lelono Widjiantoro ◽  
Herman Pratikno ◽  
Farida Iasha ◽  
Andi Rahmadiansyah
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Speed Control ◽  
Speed Control System

Optimization of the Elevator Speed Control System

2011 ◽  
Vol 101-102 ◽  
pp. 405-409
Author(s):  
Wen Yu ◽  
Li Xu ◽  
Shu Li Sun
Keyword(s):  
Control System ◽  
Social Development ◽  
Control Method ◽  
Speed Control ◽  
New Method ◽  
Speed Control System

In order to meet the demand of social development, improve the speed and comfort during elevator running process, the elevator speed control system is studied in this article. One new elevator speed control method is put forward. The implementing process of the new method and the design of elevator speed curve are elaborated in detail. The new control method has good utility in improving the running efficiency and the riding comfort for the elevator.

Single Neuron PID Adaptive Control for BLDCM Based on Algebraic Algorithm

2012 ◽  
Vol 220-223 ◽  
pp. 851-854
Author(s):  
Yan Diao ◽  
Hong Ping Jia ◽  
Tian Jun Geng
Keyword(s):  
Adaptive Control ◽  
Motor Control ◽  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Dc Motor Control ◽  
Motor Control System

The brushless DC motor control system often adopts the classic PID control, the advantages of which are as follows: simple to control, easy to adjust the parameter and a certain degree of control precision. But it relies on accurate mathematical model. The permanent magnet brushless DC motor control system is a multi-variable and nonlinear. As to the deficiencies of the classic PID control method, this thesis proposes a method called artificial neural network PID adaptive control method, which is based on algebraic algorithm and overcomes the shortcomings such as the slow convergence of BP algorithm, easy to trap in local minimum, and etc.

Simulation Research on Steering Electromotor Control for Electric Pallet Truck Based on Fuzzy Adaptive PID

2011 ◽  
Vol 101-102 ◽  
pp. 564-568
Author(s):  
Li Sheng Shu ◽  
Guo Ping Li
Keyword(s):  
Control System ◽  
Control Method ◽  
Speed Control ◽  
Control Device ◽  
Steering Control ◽  
Simulation Research ◽  
Brushless Dc ◽  
Speed Control System ◽  
Static Performance ◽  
Fuzzy Adaptive

According to the mathematical model of brushless DC motor (BLDCM), control equations of BLDCM speed control system and simulation model were established for steering control device in electric pallet truck based on transfer function in Matlab/Simulink. The fuzzy adaptive PID control method was introduced to speed control system, and it can realize PID parameter’s online adjustment. Simulation result shows that the designed speed controller based on fuzzy adaptive PID has better dynamic and static performance than the controller based on traditional PID, and the control accuracy is also greatly improved.

Decoupling Control for Bearingless Synchronous Reluctance Motor Based on Fuzzy Inverse Model

2014 ◽  
Vol 529 ◽  
pp. 524-528
Author(s):  
Zhang Li ◽  
Huang Qiu Zhu ◽  
Run Zhang Zeng
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Method ◽  
Dynamic Performance ◽  
Inverse Model ◽  
Decoupling Control ◽  
Dynamic Decoupling ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Motor Control System

For the bearingless synchronous reluctance motor (BSRM) is a multivariable, strong coupling, multi-input and multi-output system, based on the adaptive inverse control theory, a decoupling control method based on the T-S fuzzy inverse model identification is put forward in this paper. According to the input and output information of the system, a fuzzy inverse model of the motor control system is established, then making the inverse model and the original control system in series forms pseudo linear hybrid system to realize the approximate linearization and dynamic decoupling of the motor control system. Building the composite system and proceeding research in the Matlab/Simulink environment, the simulation results show that the control strategy can realize dynamic decoupling among the electromagnetic torque subsystem and the radial suspension force subsystem and among thex- andy-direction of the suspension force, and with excellent static and dynamic performance and adaptive ability.

Researching of Speed Regulation System for AC Permanent Magnet Synchronous Motor

2013 ◽  
Vol 303-306 ◽  
pp. 1204-1208 ◽  
Author(s):  
Bing Li ◽  
Yue Zhen Feng
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Regulation System ◽  
Pi Control ◽  
Adaptive Fuzzy ◽  
Speed Control System

In order to improve the speed performance of permanent magnet synchronous motor(PMSM) speed control system, and increase system reliability and adaptability, PMSM current-speed double close loop speed control system based vector control was designed. Current loop adopted traditional PI controller, speed controller adopted adaptive fuzzy PI control method which was based on traditional PI control method and fuzzy control method. Space voltage pulse width modulation (SVPWM) technology was used to control working condition of the inverter. The system simulation model was established in MATLAB/SIMULINK environment, and ran this simulation model.The simulation results show that: This system is feasible, and adaptive fuzzy PI control system has better dynamic and static characteristics than traditional PI control method.

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