MAV Flight Controller Design Approach Based On Multidisciplinary Synthesis And Optimization

Because of strict limitation to volume and weight, it is especially important for Micro Air Vehicle(MAV) to synthesize and integrate multi disciplines from the point of system integration during design process. As a sub-discipline which has most coupling and most close connection among disciplines, flight control system has extremely important influence on aircraft's performance. There exist two key problems in multidiscipline optimization design. One is how to consider mutual influence among disciplines to ensure robustness of control performance; The other is how to take control discipline into account to ensure optimization of overall performance. With MAV flight control system design as background, robust control theory as guidance and multidiscipline synthesis as basis, the research of multidiscipline optimization design method is carried out in this paper. The main contents and results are as follows:Firstly, the MAV multidisciplinary system analysis model is built. And the coupling relationship among multidisciplinary design parameters is analized. Beginning with MAV nonlinear differential equations, this paper studied the uncertainty expression method in status space model and the general expression of MAV generalized object is deduced. To the question of strucrual and nonstructual uncertain problems such as parameter coupling, parameter variation and unmodelled dynamics, the multidisciplinary design method for MAV flight control system is brought forward in this paper.Taking fixed-wing MAV as object, the multidiscipline optimization research is carried out with the aim of minimum size. MAV prototypes are developed. Flight performance of different configure MAV is studied with both theory analysis and flight test. Furthermore, method and process of founding the MAV uncertainty modeling using experimental design method under multidisciplinary integration environments is illustrated. The longitudinal and lateral channel robust flight controllers are designed and evaluated.In this paper, multidisciplinary design optimization method with control discipline in the loop is studied. Beginning with response surface approach model, the uncertainty model usingmultidisciplinary design parameters as perturbations is deduced, which not only decreases conservative characteristics of uncertainty expression, but also reduces computational complexity for control discipline, thus improves the convergency degree of optimization algorithum. After that, the parallel design and optimization between control discipline and other disciplines is realized and applied successfully to parallel optimization design of aerodynamics and control discipline for a given tailess MAV.Taking the problem of MAV geometrical optimization placement controlled by shape-change blisters as example, the problem of discret optimization in the process of parallel design is solved using genetic algorithum by combining aerodynamics and control discipline in the frame of MAV multidisciplinary design. Research of a new aerodynamic control scheme is also carried out in this paper.Considering characteristics of MAV flight controller, method of both mathematic simulation and hardware in the loop simulation is studied. Framework of simulation validation platform for MAV flight controller is also built.Finally, a MAV flight controller design method based on multidisciplinary collabration and optimization is developed. Such method realize the cooperation and optimization design between control discipline and other disciplines, which not only ensure the opimal integrative performance and robustness of MAV flight control system.but also provide an effective and practical theory and method for further studying of MAV flight control problem with good prospective for use.