Integrated Structure and Control Design for Servo System Based on Genetic Algorithm and Matlab

2011 ◽  
Vol 6 (9) ◽  
Author(s):  
Dingzhen Li ◽  
Ruimin Jin
Keyword(s):  
Genetic Algorithm ◽  
Control Design ◽  
Servo System ◽  
And Control

Integrated Design of Airborne Radar Servo System Based on MATLAB/SIMULINK

2011 ◽  
Vol 204-210 ◽  
pp. 17-20
Author(s):  
Ding Zhen Li ◽  
Rui Min Jin
Keyword(s):  
Optimization Model ◽  
Electromechanical Coupling ◽  
Integrated Design ◽  
Control Design ◽  
Servo System ◽  
Coupling Model ◽  
Transmission System ◽  
Airborne Radar ◽  
Matlab Simulink ◽  
And Control

This thesis is according to the pitching part of airborne radar servo system. The electromechanical coupling model and optimization model which includes structure parameters and control parameters are built up based on model of mechanism transmission system and electricity control system. The dynamics model of mechanism transmission system includes the nonlinearity of backlash and is considered the influence of parameters for dynamics properties in structure of the mechanism transmission system. The method of integrated structure and control design is applied on the optimization model using GA. Simulation is done based on MATLAB/SIMULINK. Simulation results show that the method of integrated structure and control design is feasible and effective in servo system.

GA BASED SENSOR PLACEMENT AND CONTROL DESIGN FOR REACTIVE NAVIGATION OF MOBILE ROBOTS

2005 ◽  
Vol 02 (02) ◽  
pp. 77-91 ◽  
Author(s):  
XIAOCHUAN WANG ◽  
SIMON X. YANG ◽  
MAX Q.-H. MENG
Keyword(s):  
Genetic Algorithm ◽  
Mobile Robots ◽  
Control Structure ◽  
Controller Design ◽  
Sensor Placement ◽  
Control Design ◽  
Simulation Studies ◽  
Optimal Sensor Placement ◽  
Reactive Navigation ◽  
And Control

In this paper, a novel genetic algorithm based approach is proposed for optimal sensor placement and controller design of a mobile robot to facilitate its reactive navigation and obstacle avoidance in unknown environments. The mobile robots considered in this paper have flexible sensor and control structure. A genetic algorithm is developed to evolve the parameters of optimal sensor placement and controller design simultaneously. The effectiveness of the proposed GA based co-evolution approach to robot sensor placement and control design is demonstrated by simulation studies.

Structure-specified IIR filter and control design using real structured genetic algorithm

2009 ◽  
Vol 9 (4) ◽  
pp. 1285-1295 ◽  
Author(s):  
Chih-Wei Tsai ◽  
Ching-Huei Huang ◽  
Chun-Liang Lin
Keyword(s):  
Genetic Algorithm ◽  
Control Design ◽  
Iir Filter ◽  
And Control
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