The Use of Adaptive Inverse Control in Cascade STATCOM Modulated by PAM+PWM

2013 ◽  
Vol 448-453 ◽  
pp. 2175-2179
Author(s):  
Luan He ◽  
Xin Wang ◽  
Li Dan Zhou ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
...  
Keyword(s):  
Control System ◽  
Control Method ◽  
Mathematic Model ◽  
Time Varying ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Switching Losses ◽  
Harmonic Elimination ◽  
Harmonic Ratio

In order to lower the switching losses and harmonic ratio, improve the precision of the STATCOM in the same time, the adaptive inverse control based on PAM+PWM method is proposed in this paper. The combination of PAM+PWM method is presented to enable the system to achieve the quality of low switching losses and good harmonic elimination effect. Furthermore, considering the nonlinear and time-varying characteristics which are caused by the introduction of the PAM and PWM method, an adaptive inverse control method is designed to adjust the parameters of the nonlinear mathematic model constantly to improve the precision of the control system. The results of simulation show the correctness of the proposed method.

Study on Vibration Controller Based on Adaptive Inverse Method

2013 ◽  
Vol 765-767 ◽  
pp. 1979-1983
Author(s):  
Hao Li ◽  
Long Lei Dong ◽  
Wen Zhe Zhao
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Digital Signal Processor ◽  
Control Method ◽  
Least Mean Square ◽  
Layer System ◽  
Software Environment ◽  
Hardware Platform ◽  
Adaptive Inverse Control ◽  
Inverse Control

In this paper, study of adaptive inverse controller based on nonlinear multi-degree-of-freedom (NLMDF) algorithm has been carried out. A vibration control system with TMS320F2812 as the hardware platform has been developed, which can realize waveform reproduction and spectrum control. An improved least mean square algorithm-NLMDF has been introduced to design the filter parameters in the adaptive inverse control and simulations have been carried out in Matlab software environment. Accordance with the requirements of the adaptive inverse control method, hardware platform of the vibration control system based on dual-Digital Signal Processor (DSP) architecture, has been designed; through abstraction of the driver layer, system layer and application layer of the vibration control system , software platform has been developed. The experiment results show that functionality and performance indicators of the system have reached the design requirements.

scholarly journals Permanent Magnet Synchronous Motor Speed Control System Based on Adaptive Inverse Control Method

2019 ◽  
Vol 37 (4) ◽  
pp. 824-829
Author(s):  
Zhe Chen ◽  
Zhao Xue ◽  
Haiyi Fang ◽  
Guangzhao Luo
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Control Method ◽  
External Disturbance ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Least Mean Square ◽  
Motor Speed ◽  
Adaptive Inverse Control ◽  
Inverse Control

The classical feedback control method for the permanent-magnet synchronous motor cannot fulfill the dynamic requirement and anti-interference requirement at the same time. In this paper, an adaptive inverse control method with disturbance elimination is proposed based on the vector control including speed and current loops. It avoids the system instability and the anti-disturbance performance of the system can be enhanced as well. Firstly, the speed loop adopts the adaptive inverse controller possessing a feed forward control structure, and a normalized least-mean square filtering algorithm accelerates the speed error convergence. The inverse model of the approximately linearized system is obtained by modifying the weighting factor online. Secondly, in order to suppress and eliminate the influence of motor parameter perturbation and external disturbance on the control system, an extended state observer is designed to observe and compensate the disturbance of the system. Thus, the dynamic performance and anti-disturbance performance of the system can be improved simultaneously. Finally, the effectiveness of the proposed method is verified by experiment and simulation.

The Study of Parameter Robustness of Induction Motor Variable Frequency Speed Regulation Adaptive Inverse Control System

2013 ◽  
Vol 313-314 ◽  
pp. 3-6
Author(s):  
Guang Rui Zhang ◽  
Jian Xue
Keyword(s):  
Control System ◽  
Induction Motor ◽  
Regulation System ◽  
Variable Frequency ◽  
Time Varying ◽  
Motor Speed ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Speed Regulation ◽  
Parameter Robustness

Aiming at the problem that the existence of the time varying parameter in the induction motor variable frequency speed regulation system influence the induction motor speed control performances through influences on the vector control decoupling performances, the author puts forward the solution that is to apply the adaptive inverse control scheme to the induction motor speed control system. Research findings suggest that adaptive inverse control is of high parameter robustness to both gradient parameter perturbation and mutational parameter robustness, which effectively reduces induction motor time varying parameters influences on dynamic and static performances of the frequency speed regulation system.

The Intelligent Scheduling Method of Elevator Group Control Based on Fuzzy Neural Network

2012 ◽  
Vol 155-156 ◽  
pp. 653-657
Author(s):  
Yu Lin Dong ◽  
Xiao Ming Wang
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Neural Network ◽  
Control Method ◽  
Scheduling Algorithm ◽  
Mathematic Model ◽  
Group Control ◽  
Fuzzy Neural ◽  
And Performance ◽  
Elevator Group Control

Elevator group control system (EGCS) is a complex optimization system, which has the characteristics of multi-objective, uncertain, stochastic random decision-making and nonlinear. It is hard to describe the elevator group control system in exact mathematic model and to increase the capability of the system with traditional control method. In this paper, we aim at the characters of elevator group control system and intelligent control, introduce the system's control fashion and performance evaluate guidelines and propose an elevator group control scheduling algorithm based on fuzzy neural network.

scholarly journals Adaptive Inverse Control Based on Kriging Algorithm and Lyapunov Theory of Crawler Electromechanical System

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Guanyu Zhang ◽  
Yitian Wang ◽  
Yiyao Fan ◽  
Chen Chen
Keyword(s):  
Electromechanical Coupling ◽  
Control Method ◽  
Coupling Model ◽  
Virtual Prototype ◽  
Lyapunov Theory ◽  
Electromechanical System ◽  
Prototype Model ◽  
Control Effect ◽  
Adaptive Inverse Control ◽  
Inverse Control

The electromechanical system of a crawler is a multi-input, multioutput strongly coupled nonlinear system. In this study, an adaptive inverse control method based on kriging algorithm and Lyapunov theory is proposed to improve control accuracy during adaptive driving. The electromechanical coupling model of the electromechanical system is established on the basis of the dynamic analysis of the crawler. In accordance with the kriging algorithm, the inverse model of the electromechanical system of the crawler is established by offline data. The adaptive travel control law of the crawler is obtained on the basis of Lyapunov theory. Combined with the kriging algorithm, the adaptive driving reverse control method is designed, and the online system is used to update and perfect the inverse system model in real time. Finally, the virtual prototype model of the crawler is established, and the control effect of the adaptive inverse control method is verified by theoretical analysis and virtual prototype simulation.

Adaptive Inverse Fuzzy Decoupling Control of Bearingless Asynchronous Motor

2014 ◽  
Vol 703 ◽  
pp. 327-330
Author(s):  
Jian Dong Sun ◽  
Yu Xin Sun ◽  
Huang Qiu Zhu ◽  
Xian Xing Liu
Keyword(s):  
Control Method ◽  
Asynchronous Motor ◽  
Poor Performance ◽  
Decoupling Control ◽  
Matlab Simulation ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Highly Nonlinear ◽  
Static Performance ◽  
Control Of Linear Systems

The traditional control has good performance in the control of linear systems while has poor performance in the control of nonlinear systems. The bearingless asynchronous motor is a multivariable nonlinear system with high coupling. In this paper, the method of adaptive inverse control is proposed for these reasons. Firstly, the mathematical model of the bearingless asynchronous motor is built, and the possibility of the existence of the bearingless asynchronous motor system inverse model is explored. Secondly, since the object to be controlled is highly nonlinear and has high variability. In this paper, adaptive inverse fuzzy decoupling control is used to make up the deficiency of traditional adaptive inverse control. Finally, the Matlab simulation model is established. The simulation results show that the control method has good dynamic and static performance.

Improved Model of an Intermediate Point Enthalpy Control System for Enhancing Boiler Efficiency

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Zihao Yang ◽  
Yanping Zhang ◽  
Wei Gao
Keyword(s):  
Control System ◽  
Control Method ◽  
Control Object ◽  
Stable Operation ◽  
Feed Water ◽  
Intermediate Point ◽  
Control Quality ◽  
Boiler Efficiency ◽  
Improved Model

Control quality of an once-through boiler’s water-fuel ratio (WFR) and main-steam temperature are heavily influenced by the control quality of the once-through boiler’s intermediate point enthalpy (IPE), and it is also related to the economic and stable operation of the a once-through boiler. In order to control the IPE in a better way and to increase boiler efficiency, an improved model of IPE control system was built in this paper, matlab/simulink is used to build the IPE control system model based on a 600 MW supercritical unit, and the mechanism model of the control object is built in the same time. The feedforward of the feed-water temperature is brought to this model to increase the control rate. The control method of amendments to the amount of coal and the control method of amendments to the amount of feed-water are combined by the means of fuzzy control to solve the problem of the contradiction of the responding speed of the IPE and the separation interface’s stability of the steam-water separator. The simulation results show that the improved control method has better control effect and higher boiler efficiency was obtained as well.

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