Adaptive control for a hypersonic vehicle based on evolutionary algorithm and convex optimization

摘要

The dynamic model of hypersonic vehicle is nonlinear in nature because of time conditions and probabilities of occurrences. The dynamic model differs from the real-time model because of the uncertainties and degradation of performances. Moreover, an effective feedback system is used to transform the matched and unmatched possibilities and certainties. To solve these issues and develop an efficient model in hypersonic system, this proposed model utilizes an evolutionary algorithm, along with convex optimization. In this, the control system tracks the inputs and controls by using dynamic convex control system (DCCS). During the process of DCCS, the input matrix gain is adapted with the algorithm and adaptive elements with saturation factors that are handled with ultimate boundaries based on the results of the existing work. The tracking error and the utilization dead zone errors are rectified at the most using the proposed model. Finally, the numerical real-time simulations are performed, and the effectiveness of the proposed model is demonstrated.