This paper develops a novel data-driven modeling strategy and predictive controller for
boiler-turbine unit using subspace identification and multimodel method. To deal with the …

This paper studies the load reduction potential of a prototyped “smart” rotor. This is, a rotor
where the blades are equipped with a number of control devices that locally change the lift …

A novel recursive predictor-based subspace identification method is presented to identify
linear time-invariant systems with multi inputs and multi outputs. The method is implemented …

Controllers synthesized using H∞ methods provide good disturbance attenuation for active
magnetic bearing spindles. The synthesized controllers are often unstable when the spindle …

In this paper, the previous work of the authors on Subspace Predictive Control (SPC) in the
context of spacecraft roto-translational relative motion is pursued, and the introduced novel …

Active Magnetic Bearing (AMB) spindles are often subject to synchronous vibrations due to
mass-imbalances. The frequency of these vibrations is equal to the rotational speed of the …

Active magnetic bearings (AMBs) are widely applied in high-speed rotating machinery,
especially in special environments. In designing and adjusting an AMB system, the …

This paper presents a practical approach to identify a global model of a wind turbine from
operational data, while it operates in a turbulent wind field with a varying mean wind speed …

Gas bearings are popular for their high speed capabilities, low friction and clean operation,
but suffer from poor damping, which poses challenges for safe operation in presence of …

In this paper, the proof of concept of a smart rotor is illustrated by aeroelastic simulations on
a small‐scale rotor and comparison with wind tunnel experiments. The application of …