This paper investigates the problem of improving control performance during flexible spacecraft maneuvers, hampered by system uncertainties, environmental disturbances and flexible vibrations. A fixed-time disturbance observer-based prescribed performance predictive control method is proposed. Firstly, a nonlinear second-order fully actuated (NSOFA) discrete system model is introduced to characterize the dynamic behavior and nonlinearities of the spacecraft attitude control system. The fixedtime disturbance observer is employed to estimate and compensate for the lumped disturbances. Subsequently, an incremental secondorder fully actuated (ISOFA) predictive model is established using a Diophantine equation to replace reduced-order equations. Further, an optimal controller is obtained through multi-step ahead prediction, which considers constraints on attitude tracking performance and prescribed performance. Additionally, a necessary and sufficient condition is provided to analyze the tracking performance and stability of the closed-loop system. Finally, numerical simulations of flexible spacecraft maneuvering and attitude tracking validate the effectiveness.

Vehicles are developing in the direction of energy-saving and electrification. suspension has been widely developed in the field of vehicles as a key component. Traditional hydraulic energy-supply suspensions dissipate vibration energy as waste heat to suppress vibration. This part of the energy is mainly generated by the vehicle engine. In order to effectively utilize the energy of this part, the energy-regenerative suspension with energy recovery converts the vibrational energy into electrical energy as the vehicle’s energy supply equipment. This article reviews the hydraulically powered suspension of vehicles with energy recovery. The importance of such suspension in vehicle energy recovery is analyzed. The main categories of energy-regenerative suspension are illustrated from different energy recovery methods, and the research status of hydraulic energy-regenerative suspension is comprehensively analyzed. Important factors that affect the shock-absorbing and regenerative characteristics of the suspension system are studied. In addition, some unresolved challenges are also proposed, which provides a reference value for the development of energy-regenerative suspension systems for hybrid new energy vehicles

In this study, an improved eliminate particle swarm optimization (IEPSO) is proposed on the basis of the last-eliminated principle to solve optimization problems in engineering design. During optimization, the IEPSO enhances information communication among populations and maintains population diversity to overcome the limitations of classical optimization algorithms in solving multiparameter, strong coupling, and nonlinear engineering optimization problems. These limitations include advanced convergence and the tendency to easily fall into local optimization. The parameters involved in the imported “local-global information sharing” term are analyzed, and the principle of parameter selection for performance is determined. The performances of the IEPSO and classical optimization algorithms are then tested by using multiple sets of classical functions to verify the global search performance of the IEPSO. The simulation test results and those of the improved classical optimization algorithms are compared and analyzed to verify the advanced performance of the IEPSO algorithm.

The operating mechanism of the CuBr₂/MoO₃anode buffer layer using the transport-recombination behavior of the impedance spectroscopy was investigated.