For the performance of position servo system of three-phase permanent magnet AC synchronous motor is always influenced by the disturbance and changes in the parameters, the adaptive inverse control strategy will be applied to its precise position control. And for adaptive filtering algorithms to be improved, a novel variable step size LMS adaptive filter algorithm is proposed for inverse model and model of the magnet synchronous servo motor position control system. The result shows that LMS algorithm could resolve the contradiction among convergent speed, trace speed of the time-varying system and convergent accuracy. The position control system based on adaptive inverse control is robust to disturbance and the parametric variation of motor.
Based on the theory of PMSM vector control, a PMSM speed control system which modulated on TMS320F2812 DSP chips is proposed in this article. System hardware design which includes DSP control circuits, power driver circuit, the signal detection circuit and protection circuit are introduced. This article describes the system software design and the software flow chart as well. Results show that the system has excellent control performance, which is significant for the application of high precision serve system.
This paper presents a means to make the model for nonlinear systems based on Radial Basis Function Neural Network (RBFNN).As a example, the high power DC graphitizing furnace is analyzed, and the RBF model of the system is constructed from experiments or simulations. The procedures for training the model are described along with discussions on error. All the simulated results show that the discussed approaches are effective.
Drive technology and Control System of Electric Vehicle with TMS320LF2407A DSP as microcontroller are mentioned in this paper.The system takes permanent magnet syncronous generator as the driving motor, utilizing the direct torque control technology of SVPWM. Electric Vehicle are rearly driven by two wheels, which only needs to control one permanent magnet syncronous generator, and then it will be driven by mechanical differential and gearing. Direct torque control technology utilizes torque(current), control scheme of the double closed-loop of speed and Fuzzy Pi control algorithm, which shall have a better static and dynamic performance.
The paper introduces the basic principles of space vector pulse width modulation (SVPWM) and SVPWM algorithm. According to the permanent magnet synchronous motor (PMSM) servo system, basing on the analysis of PMSM mathematical model and the principle of vector control, it builds a permanent magnet synchronous motor vector control system simulation model and carries out the simulation analysis. According to the detection of permanent magnet synchronous motor rotor initial position, it brings out the tiny displacement type proposed detection method. The simulation result shows the feasibility, high reliability and effectiveness of control methods, so it has important significance in achieving high precision control of permanent magnet synchronous motor.
As an important part of the high-frequency switching power supply, the control accuracy of the phase-shift full-bridge converter directly affects the efficiency of the switching power supply. To improve the stability and antidisturbance ability of phase-shift control systems, this article presents a dual closed-loop control system based on Self-Coupling PID (SC-PID) control and applies the SC-PID control strategy to the voltage control of the phase-shift full-bridge converter. To begin with, in response to the contradiction of traditional PID, SC-PID breaks the limitation of PID control by introducing a new control idea instead of weighted summation of each gain, which fundamentally solves the contradiction between overshoot and rapidity. Then, using the dimension attributes between gains to develop new tuning rules to solve the system load disturbance, output voltage deviation from the reference value, and other problems, the purpose is to ensure the stability of the output voltage and improve the control effect. At the same time, the stability of the whole control system is analyzed in the complex frequency domain. Finally, with the same main circuit and parameters, three types of controllers are built separately, and using MATLAB for simulation comparison, the simulation results show that the control system based on SC-PID has better steady-state accuracy, faster response, and better robustness, which proves the feasibility of the SC-PID control idea.
Aiming at the nonlinear characteristics of copper electrolytic system, this paper designs high-power thyristor electrolytic power supply current control system based on auto-disturbance rejection controller, the internal disturbance and external disturbance of system can be observed, and use them to offset the system using auto disturbance rejection controller. It improves the stability of the electrolytic rectifier system and control precision. The engineering practice shows that the rectification systems improve the quality of copper electrolysis well and reduce the energy consumption of the whole system.
For the three-phase PWM rectifier under the conventional model predictive direct power control, the accuracy of the prediction objective function is not precise, and problems such as large fluctuations in the predicted power and DC side output voltage. This paper presents a novel optimization method, which uses lagrangian interpolation to optimize the model's predicted power. At the same time, fuzzy adaptive control is used to adjust the active power reference value of the voltage outer loop. Finally, the SVPWM technology is applied to control the switching of the power tube. The simulation results show that the optimized system has a stellar performance and the strong robustness of the system in transient state.
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