Helicopter trim research based on hybrid genetic algorithm

Helicopter trim models are nonlinear equations with lots of variables in fact, and the state of each variable is quite hard to determine. It’s quite difficult to solve such nonlinear equations in numerical compute field so far. Combining the traditional numerical algorithms’ (such as quasi-Newton Method) quick convergent ability, and the genetic algorithm’s 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 algorithm’s 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.