Finite control set model predictive direct current control strategy with constraints applying to drive three-phase induction motor

Abstract

In this, work the finite control set (FCS) model predictive direct current control strategy with constraints, is applied to drive three-phase induction motor (IM) using the well-known field-oriented control. As a modern algorithm approach of control, this kind of algorithm decides the suitable switching combination that brings the error between the desired command currents and the predicated currents, as low as possible, according to the process of optimization. The suggested algorithm simulates the constraints of maximum allowable current and the accepted deviation, between the desired command and actual currents. The new constraints produce an improvement in system performance, with the predefined error threshold. This can be applied by avoiding the switching combination that exceeds the limited values. The additional constraints are more suitable for loads that require minimum distortion in harmonic and offer protection from maximum allowable currents. This approach is valuable especially in electrical vehicle (EV) applications since its result offers more reliable system performance with low total harmonics distortion (THD), low motor torque ripple, and better speed tracking.

Dynamics of Three Phase Inverter Fed Induction Motor Drive By FCS And I-FCS Based Predictive Current Controllers

“…Where ∆𝑡 is assumed as the sampling interval, 𝑖 𝑑 (𝑡 𝑖+1 ) and 𝑖 𝑞 (𝑡 𝑖+1 ) are predicted values of current in d-q frame, 𝑖 𝑑 * and 𝑖 𝑞 * are the desired values of current in d-q frame. Now by using Equations ( 17) & (18) in Equations ( 1) & ( 2) respectively,…”

“…The adaptability, robustness and flexibility of FCS technique has been compared with classical controllers [15] and a sliding mode based MPC method has been introduced for torque and flux control of induction motor [16][17]. Field oriented control of a three phase induction motor by constraints incorporated FCS-MPC method with direct current control strategy is demonstrated in [18]. Through this algorithm the deviations between desired currents and predicted currents can be minimized.…”