Increasing demands of positioning accuracy of satellites with high-precision payloads together with growing structural flexibility of their hulls, calls for active vibration isolation techniques to mitigate the impact of microvibrations on the payload. The aim of this article is to develop an linear parameter-varying (LPV) modeling and control design methodology for attenuation of frequency-varying disturbances. Application of the developed approach to a realistic space-capable multivariable vibration isolation test-bench setup shows a significant attenuation of microvibration disturbances, well-demonstrating the capabilities and deployability of the proposed method.

Control of systems with operating condition-dependent dynamics, including control moment gyroscopes (CMGs), often requires operating condition-dependent controllers to achieve high control performance. The aim of this brief is to develop a frequency response data-driven linear parameter-varying (LPV) control design approach for single-input single-output (SISO) systems, which allows improved performance for a CMG. A stability theory using a closed-loop frequency response function (FRF) data is developed, which is subsequently used in a synthesis procedure that guarantees local stability and performance. Experimental results on a CMG demonstrate the performance improvements.

The linear parameter-varying framework enables systematic control design approaches to meet increasing performance requirements and complexity of systems. The aim of this paper is to develop local frequency response data-based analysis and synthesis conditions for multiple-input multiple-output linear parameter-varying systems to facilitate fast tuning. Key advantages are local stability and performance guarantees and a global controller parameterization. The effectiveness of the proposed methods are evaluated based on a simulation example.