Title :
Helicopter trim research based on hybrid genetic algorithm
Author :
Dai, Jiyang ; Wu, Guohui ; Wu, Yinhua ; Zhu, Guomin
Author_Institution :
Key Lab. of Nondestructive Test, Nanchang Hangkong Univ., Nanchang
Abstract :
Helicopter trim models are nonlinear equations with lots of variables in fact, and the state of each variable is quite hard to determine. Itpsilas quite difficult to solve such nonlinear equations in numerical compute field so far. Combining the traditional numerical algorithmspsila (such as quasi-Newton Method) quick convergent ability, and the genetic algorithmpsilas advantages such as global convergency and mass searing. Developing a new hybrid genetic algorithm which can converge quickly in large scale. The following examples verified the algorithmpsilas feasibility and high efficiency, so it develops a new approach for triming helicopter. meanwhile, makes a successful attempt in how to combine the traditional mathematical method with the modern intelligent evaluation algorithm effectively.
Keywords :
convergence; genetic algorithms; helicopters; nonlinear equations; global convergency; helicopter trim; hybrid genetic algorithm; mass searing; nonlinear equations; quick convergent ability; Algorithm design and analysis; Automatic testing; Automation; Genetic algorithms; Gradient methods; Helicopters; Intelligent control; Laboratories; Nondestructive testing; Nonlinear equations; float genetic algorithm; helicopter trim; hybrid genetic algorithm; nonlinear equations;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593232