Data-based modal space control for active damping

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Abstract

This research presents a novel data-based modal control method for actively dampening the flexible mode in a multi-input multi-output (MIMO) system. Traditional passive damping methods add significant mass to the system, making recent advances in sensor and actuator technology, such as lightweight piezoelectric materials, a more appealing solution. The key contribution of this research is a novel modal decoupling method for active damping that uses the MIMO frequency response function to circumvent the need for a parametric model. This method facilitates the design of a single-input, single-output (SISO) controller that actively dampens a flexible mode using all available sensors and actuators. This approach significantly reduces the complexity of the controller design and tuning effort compared to the conventional decentralized control architecture. Experimental validation is carried out on a cantilever beam, which shows near-perfect isolation of the mode of interest. The study's findings may offer critical insights for future mechatronics systems, enabling the creation of more efficient and powerful machines.