scholarly journals Application of a multi-input multi-output (MIMO) nonlinear non-minimum phase system control method to hydro turbine unit

2019 ◽  
Vol 1303 ◽  
pp. 012057
Author(s):  
Wancheng Wang ◽  
Song Qiu ◽  
Jiao Xu
Keyword(s):  
Turbine Unit ◽  
Control Method ◽  
Phase System ◽  
System Control ◽  
Minimum Phase ◽  
Hydro Turbine

Adaptive Inverse Control of Hydro Electric Unit Based on Wavelet Neural Networks

2012 ◽  
Vol 591-593 ◽  
pp. 1200-1203
Author(s):  
Zhong Liao ◽  
Bin Yuan Ye
Keyword(s):  
Neural Networks ◽  
Control Method ◽  
Phase System ◽  
Minimum Phase ◽  
Wavelet Neural Networks ◽  
Adaptive Inverse Control ◽  
New Approach ◽  
Inverse Control ◽  
Unit System ◽  
Phase Systems

Due to the nonlinear, time-variable and non-minimum phase character of hydro electric unit system integrated with water, motor and power, a new adaptive inverse control method of hydro electric unit based on the function approximation ability of the wavelet analysis and the learning characteristic of neural network is presented. The algorithm and formulas and method of adaptive inverse control is studied. It approximates the model and its inversion of hydro electric unit by wavelet neural networks(WNN), and then through constructing an aim function of broad sense, which is effective to the nonlinear non-minimum phase system. Theory and simulation to for hydro electric unit system demonstrate that the control strategy can more effective improve the dynamic and stationary performance than those based on neural networks. It gives a new approach in control for hydro electric unit system besides offer a beneficial reference to the control of non-minimum phase systems.

Process Control Method of Complex Product Multidisciplinary Collaborative Design System

2013 ◽  
Vol 712-715 ◽  
pp. 2888-2893
Author(s):  
Hai Qiang Liu ◽  
Ming Lv
Keyword(s):  
Information Sharing ◽  
Product Design ◽  
Design Process ◽  
Collaborative Design ◽  
Control Method ◽  
Integrated System ◽  
Design System ◽  
System Control ◽  
Complex Product ◽  
Product Design Process

In order to realize information sharing and interchange of complex product multidisciplinary collaborative design (MCD) design process and resources. The Process integrated system control of product multidisciplinary collaborative design was analyzed firstly in this paper, then design process of complex product for supporting multidisciplinary collaborative was introduced, a detailed description is given of the organization structure and modeling process of MCD-oriented Integration of Product Design Meta-model ; and concrete implement process of process integrated system control method was introduced to effectively realize information sharing and interchange between product design process and resources.

The Application of Intelligent Industrial Robotic Control System Based on PLC in Mechanical Automation

2013 ◽  
Vol 738 ◽  
pp. 272-275
Author(s):  
Dun Chen Lan
Keyword(s):  
Control System ◽  
Control Method ◽  
Control Function ◽  
Industrial Robot ◽  
Interface State ◽  
Research Field ◽  
Normal Operation ◽  
System Control ◽  
Experiment Platform ◽  
Excellent Control

In the field of mechanical automation, intelligent industrial robot technology is an important branch in the research field of robot; it is always the hot spots of the world robot research, and it being used to get the application in the industry today. Robot experiment platform of PLC and motor control technology, it based on the control method used by the robot control system improvements to make it more perfect run more precise, reasonable. In the same time, the man-machine interface state run monitoring, to ensure the normal operation of the system. Improved control method of the improvement of the work efficiency, reduce the work of the workers a duplication degree have a significant effect, and the system control at the scene, especially PLC control has excellent control function and good cost performance .

Multiple models direct adaptive controller for a stochastic non-minimum phase system

2010 ◽  
Vol 15 (5) ◽  
pp. 578-586
Author(s):  
Yi-hui Zheng ◽  
Xin Wang ◽  
Shao-yuan Li ◽  
Jian-guo Jiang
Keyword(s):  
Adaptive Controller ◽  
Multiple Models ◽  
Phase System ◽  
Minimum Phase

Fuzzy stable inversion-based output tracking for nonlinear non-minimum phase system and application to FAHVs

2015 ◽  
Vol 352 (12) ◽  
pp. 5529-5550 ◽  
Author(s):  
Xiaoxiang Hu ◽  
Yang Guo ◽  
Lixian Zhang ◽  
Ahmed Alsaedi ◽  
Tasawar Hayat ◽  
...  
Keyword(s):  
Phase System ◽  
Minimum Phase ◽  
Output Tracking ◽  
Stable Inversion

scholarly journals Research on Anti-saturation Feedback Control Method for UAV Avionics System

2018 ◽  
Vol 232 ◽  
pp. 04008
Author(s):  
Xiao-Jun Zhang
Keyword(s):  
Steady State ◽  
Control Method ◽  
Control Process ◽  
System Control ◽  
State Control ◽  
Saturation Control ◽  
Disturbance Rejection Control ◽  
Feedback Control Method ◽  
Equivalent Control ◽  
Steady State Control

UAV avionics system is prone to saturation distortion under unsteady conditions, so anti-saturation control is needed. A control method of UAV avionics system based on anti-saturation feedback compensation is proposed. The anti-saturation control process of UAV avionics system is a multi-objective optimization process with multi-variables. The constrained parameter model of UAV avionics system control is constructed. Electromagnetic loss, torque, output power and other parameters are taken as constraint indexes, the original control information of UAV avionics system is treated with self-stabilization, the equivalent control circuit is designed, and the magnetic resonance transmission mode of avionics system is analyzed. An anti-saturation feedback tracking control method is used for steady-state control of the output voltage of the avionics system. The error compensation function is constructed to adjust the output adaptive parameters of the avionics system and the static anti-saturation compensator is constructed to compensate the power gain. The yaw error and the output steady-state error of the avionics system are reduced. The simulation results show that the proposed method has better output stability, lower output error, better real-time performance and better linear auto-disturbance rejection control performance.

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