Controller Design And Simulation Research For A Class Of Nonlinear Helicopter Model

As the emergency medical treatment fields and scale of ascension in the modernwar,the flight quality requirement and task performance of helicopter is improved daily,the current modeling and flight control technology has become the hub link in thedevelopment of modern helicopter technology. In this paper, the CE-150helicopterexperiment system model for the design target, with the method of fuzzy LQG controlscheme and dual mode control method to control the helicopter flight and simulation, soas to implement the helicopter flight control under different flight state. This paper mainresearch work is as follows:1. we mainly introduce the research status and related technology of helicoptermodeling and control technology in the domestic and overseas, discussing the twoaspects research in this paper the significance, then introduce the fuzzy control in thedomestic and foreign development present situation.2. we introduce CE-150helicopter flight characteristics model and establish asystem dynamics model which is based on the system of flight force, then list thespecific corresponding parameters of the system.3. According to CE-150helicopter flight control system we design the target tocalculate objective function, adopting the Fuzzy-LQG controller design scheme basedon Fuzzy control method to design the flight controller, this paper USES the Fuzzycenter of gravity method, and the simulation verify its feasibility, compared with PIDand LQG simulation rendering scheme, and the results are analyzed. Results show thatthe proposed controller is better than PID in time and overshoot and LQG controllerscheme, implements the parameter self-tuning, But there’s still a lot of control limits onthe shortcomings.4. Using the dual mode controller to control the CE-150helicopter nonlinearempirical model, the controller is a fuzzy prediction and the PID control aircraft, caneffectively control the helicopter flight and can effectively reduce the coupling,comparing with the fuzzy control in the existing literature, on the adjusting time andovershoot volume significantly due to the latter, its effectiveness was verified.5. The paper’s main work summary, and points out the prospect in this field and theproblem to be solved.