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The forward model may be used in controller evaluation and design.
Thus, it is important to model the friction properly so that it can be used in controller design.
The resulting simplified model is easily implemented into existing codes and is thought to give estimates that can be used in controller design or stability analysis.
This work aims to develop and determine the appropriate model of a process with stiction, which can be used in controller design to mitigate the undesirable effect of the stiction.
Because detailed nonlinear mathematical models are too complex to be used in controller design, the present approach uses a simple linear model of the process which describes its most important properties in combination with an advanced control algorithm which takes into account the model uncertainties, the disturbances and command signal limitations.
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The linear-quadratic-Gaussian algorithm is used in controller design.
In this design, estimation of a virtual state ("disturbance") is carried out online with state observer and these states are used in controller to nullify the effects of actual disturbances and uncertainties in the plant.
The model can be used in the controller design for thermal power plant during FCB.
The obtained results showed that the proposed model can be used to describe refrigeration machine dynamics and that this information can be used in the controller design.
The work of the state estimator is to provide the state compositions that are required to be used in the controller for necessary action.
For noisy measurements and for practical implementation, the moving average filtering and Kalman estimation approaches that provide the required state temperatures to be used in the controller are discussed.
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