Quantitative Controllability Analysis and Optimization in Attitude and Altitude Control of High Dynamic Flight Vehicles

As an extension of controllability theory, degree of controllability (DOC) gives a deeper insight into the quantitative performance of dynamical systems. In this article, to explore the engineering application of DOC, a definition of DOC from the energy perspective is introduced to analyze the controller performance of a high dynamic flight vehicle (HDFVs). The scenario of altitude and attitude control for HDFV with active disturbance rejection control is modeled. In particular, a quantitative indicator based on DOC is designed and embedded into particle swarm optimization (PSO) method to optimize controller parameters. Comparison between the proposed DOC-based indicator and traditional indicators based on error integration is made by numerical simulations. According to the results, the effectiveness of the proposed DOC-PSO approach is verified by satisfied state regulation performance and robust anti-disturbance capability, which behaviors better than the classical PSO method.