Optimal placement of actuators for active vibration control using a novel adaptive cuckoo search

Actuator configuration and optimization play a vital role in active control of vibration. This article formulates an actuator position optimization strategy for active control system of solar panel using the solid propellant microthruster arrays. In order to reduce the control spillover effect and improve the control quality, an optimal placement method based on optimization criterion and a novel adaptive cuckoo search named dynamic adaptive evaluation cuckoo search is proposed. The optimization criterion is designed with the consideration of desired control performance and efficiency of each contributed and undesired mode; thus, the control force applied to solar panel is mostly utilized by the desired modes. In optimization procedure, the finite element model is used to analyze the configuration problems of the actuators, which can be converted into the constraints of decision in integer programming, and then, the dynamic adaptive evaluation cuckoo search can be used to optimize the solution. Finally, simulation results demonstrate the feasibility and effectiveness of optimization criterion, and the statistical analyses for comparisons demonstrate competitive performance of dynamic adaptive evaluation cuckoo search with respect to recent algorithms for solving placement problems.