Abstract
This paper presents a new parametric optimization design to solve a class of reaction control system (RCS) problem with discrete switching state, flexible working time, and finite-energy control for maneuverable reentry vehicles. Based on basic particle swarm optimization (PSO) method, an exponentially decreasing inertia weight function is introduced to improve convergence performance of the PSO algorithm. Considering the PSO algorithm spends long calculation time, a suboptimal control and guidance scheme is developed for online practical design. By tuning the control parameters, we try to acquire efficacy as close as possible to that of the PSO-based solution which provides a reference. Finally, comparative simulations are conducted to verify the proposed optimization approach. The results indicate that the proposed optimization and control algorithm has good performance for such RCS of maneuverable reentry vehicles.
Highlights
Nowadays, hypersonic maneuverable reentry vehicles have received considerable attention from various countries, owing to its promising application in civilian and military aspects [1]
Pulse width pulse frequency (PWPF) modulator is a popular technique used in reaction control system (RCS) nozzle control [36, 37], which is designed by combining a first-order filter and a Schmitt trigger in the feedforward loop (Figure 5) [5, 38]
Considering particle swarm optimization (PSO) algorithm spends long calculation time, a suboptimal control and guidance scheme is developed for online practical design
Summary
Hypersonic maneuverable reentry vehicles have received considerable attention from various countries, owing to its promising application in civilian and military aspects [1]. Rahimi et al proposed a novel PSO method to solve the optimal control problem of spacecraft reentry orbit, which avoided the computational burden of common analytical methods [24]. Erefore, a new method of solving RCS problem of maneuverable reentry vehicles with discrete and flexible time intervals by using improved particle swarm optimization (PSO) method is proposed in this paper. Aiming at the optimal setting of RCS control for maneuverable reentry vehicles, the structure and parameter design of the controller are discussed On this basis, a suboptimal control guidance law based on PSO is proposed, which can be used in real-time designs. E results indicate that the proposed optimization and control algorithm has good performance for such RCS of maneuverable reentry vehicles.
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