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In the paper a gain-scheduled Linear-Quadratic (LQR) control system for the model of Hybrid Excitation Synchronous Machine (HESM) is presented. A special design feature of the hybrid excitation synchronous machines is an additional control loop which allows to control the resultant magnetic flux. From the control synthesis perspective hybrid excitation synchronous machines can be described as Multi-Input...
The paper presents algorithms for parameter identification of linear vessel models being in force for the current operating point of a ship. Advantages and disadvantages of gradient and genetic algorithms in identifying the model parameters are discussed. The study is supported by presentation of identification results for a nonlinear model of a drilling vessel.
The paper presents a gain-scheduled LQR control system for a nonlinear model of permanent magnet synchronous motor (PMSM). The most popular cascade FOC (Field Oriented Control) structure including a few single-loop PI control systems is replaced with a single multivariable state feedback controller. Due to a nonlinear nature of the PMSM dynamics equations the developed gain-scheduled controller is...
In the paper an adaptive Linear-Quadratic (LQR) control system for Multi-Input, Multi-Output (MIMO) nonlinear dynamic plants is presented. A nonlinear four-Degrees-of-Freedom (4-DoF) mathematical model of a singlescrew, high-speed container vessel is used as a MIMO plant. The main task of the proposed system is control the course angle and forward speed of the ship according to the changing hydrodynamic...
In the paper a multicontroller-based switchable control system structure is proposed to control nonlinear MIMO plants. The considered structure contains a set of linear feedback controllers operating together with an additional, statically decoupled loop of the control system. The nonlinear model of a drilling vessel in three degrees of freedom (3DOF) on the sea surface is used as a MIMO plant to...
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