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Purpose Taking into account the factors of torque saturation and angular velocity limitation during the actual attitude maneuver of the satellite, as well as the difficulty of parameter selection in the design of attitude control algorithm, the purpose of this paper is to propose a satellite magnetic/momentum wheel attitude control technology based on pigeon-inspired optimization (PIO) cascade-saturation control law optimization. Design/methodology/approach The optimal parameters are calculated through the PIO algorithm and then the parameters are used in the cascade-saturation control law to control the actuator findings-mathematical simulation results show that the cascade-saturation control law optimization algorithm based on PIO can shorten the adjustment time and reduce the steady-state error. Findings Compared with traditional attitude maneuver control with given parameters, the PIO algorithm can accurately calculate the optimal parameters needed to achieve the control objective and this method has better stability and higher accuracy. Originality/value The innovative PIO algorithm is used to calculate the optimal parameters, and the cascade saturation control law is used to control the actuator. Compared with the traditional algorithm, the regulation time is shortened and the steady-state error is reduced.

This paper introduces a novel gecko-inspired gripper for flat surfaces based on mushroom-shaped adhesive microstructure. Attachment and detachment model is established according to the adhesion mechanism of gecko. The influence of different physical parameters on adhesion are analyzed. On the basis of this, an adhesion unit model is proposed, and a micro gripper with controllable adhesion is developed. Furthermore, the grasping ability of the gripper in different conditions is tested. This work provides new insights into the application of bio-inspired adhesives to grippers.