Matrix converter (MC), an embryonic stage AC-AC converter with dynamic potentialities which is well suitable for the efficient propulsion and better maneuverability of marine vehicles with ensured power quality. The increased number of voltage vectors in MC facilitates a vibrant control over the propulsion motor and also the compactness in MC structure is a desirable aspect. The MC fed finite control set-model predictive control (FCS-MPC) is an attractive and effective modern concept of motor control. However, the industrial implementation of MC fed FCS-MPC is immature due to its necessity of powerful and expensive processors, as it employs more prediction voltage vectors which correspondingly increase the execution duration of the control algorithm. Hence, this paper presents an efficient 12 sector based lookup table for the optimization and reduction of prediction voltage vectors in the FCS-MPC without complicating the computation processing, which is suitable for the permanent magnet synchronous motor drive embedded in the marine propulsion unit. The effectiveness of the proposed algorithm is analyzed using the MATLAB environment and its steady state, dynamic and transient performances are investigated and validated using the real time OPAL RT lab system in comparison to the conventional methods. The significant idea behind this article is to propose a superior MC fed FCS-MPC concept for the marine propulsion motors with diminished torque and flux ripples, which can be easily implemented with economically feasible processors.
The Matrix Converter–fed Finite Control Set–Model Predictive Control is an efficient drive control approach that exhibits numerous advantageous features. However, it is computationally expensive as it employs all the available matrix converter voltage vectors for the prediction and estimation. The computational complexity increases further with respect to the inclusion of additional control objectives in the cost function which degrades the potentiality of this technique. This paper proposes two computationally effective switching tables for simplifying the calculation process and optimizing the matrix converter active prediction vectors. Here, three prediction active vectors are selected out of 18 vectors by considering the torque and flux errors of the permanent magnet synchronous motor. In addition, the voltage vector location segments are modified into 12 sectors to boost the torque dynamic control. The performance superiority of the proposed concept is analyzed using the MATLAB/Simulink software and the real-time validation is conducted by implementing in the real-time OPAL-RT lab setup.
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