| 초록 |
In recent years, several researchers have applied some advanced control strategies to simulated moving bed (SMB) units to treat the dynamic operation of SMB processes, ranging from the nonlinear control strategies such as the input-output linearizing control [4] to the repetitive model predictive control [5]. One of the shortcomings of these control strategies is that they use the first principles model. Although these controllers may be effective to treat various control problems, it may be difficult to implement them to actual SMB processes because of their heavy computational load and complex design procedure.In this study we identify an SMB process using the conventional subspace identification method. The well-known input/output data-based prediction model is also used to obtain a prediction equation which is indispensable for the design of a predictive controller. The discrete variables such as the switching time are kept constant to construct the artificial continuous input-output mapping. With the proposed predictive controller we perform simulation studies for the control of the SMB process and demonstrate that the controller performs quite satisfactorily for both the disturbance rejection and the setpoint tracking. |
