Reasearch On Flight Control Technology For Carrier Based Aircraft Landing

Automatic Carrier Landing System(ACLS)provides a fully automatic approach and landing capability for carrier-based aircrafts in all weather conditions.By integrating the aircraft Flight Control System(FCS),Throttle Control System(TCS),Inertial Navigation System(INS),Tracking Radar System(TRS)and so on,the ACLS can achieve online controlling and accurate tracking for all state variables of the aircrafts in unpredictable weather conditions,which can effectively improve the efficiency and safety in the aircraft landing process.This paper mainly focuses on the control synthesis and parameter design problems in the ACLS design process.Besides,several constructive proposals and methods are also presented.A 6 Degree-of-Freedom(6Do F)nonlinear carrier-based F-18 aircraft model is built.On the basis of the Proportion-Integral-Differential(PID)control structure of the ACLS,a Steigliz-Mc Bride(SM)structure based adaptive feedforward control strategy is presented and simulations are carried out to demonstrate the feasibility of the proposed algorithms;moreover,to deal with the Multi-Objective(MO)control surfaces allocation problems,a Modified Non-dominated Genetic Algorithm(MNGA)is studied;then a Hybrid Particle Swarm Algorithm(HPSA)is proposed for solving the global parameter optimization problems of the ACLS;finally a niche-technique based Modified Bacterial Forging Algorithm(MBFA)is developed to solve the Multi-Modal(MM)parameter design problems.The highlights of this paper are listed as follows:1.A lattice SM structure based feedforward adaptive control strategy is proposed to reduce adverse effect from various disturbances.A pre-filter based adaptive control strategy is used to guarantee global convergence of the algorithm.A lattice-structure is adopted to greatly reduce computational complexity.Besides,a step size update strategy is implemented to ensure fast convergence rate and strong robustness of the algorithm.2.An MNGA is proposed to illustrate the constrained control allocation optimization problems between different control surfaces with aerodynamic couplings.By mimicking the quantum-mechanical behaviour,a prior probability based quantum-rotation operator is built to improve the search efficiency of the algorithm and approach the Pareto frontier as close as possible.This algorithm can not only figure out the optimal control allocation relationships between different control surfaces,but also explore the changing trends of control parameters on the solution curves.3.To deal with the ACLS with multiple parameters and complex inner relationships,a HPSO is proposed for the global parameter design problems.Taking advantage of the gradient based trail-and-error method and the global optimized heuristic method,the HPSO can effectively simplify the ACLS design process to get a well-performed system.4.By mimicking the attractant and repellent behaviors among bacteria,an MM MBFA is proposed to solve the non-convex optimization problems with multiple constrains.Moreover,using the K-means clustering based niche-technique,several search groups are created to locate feasible solutions on different areas of the solution domain.Thus,the characteristics of the optimised parameters and the hidden properties of the solution domain can be revealed.