An Efficiency Optimized Direct Model Predictive Control of Induction Machine Drive
Presented in this paper is a direct model predictive control (MPC) for directly controlling the rotor speed and flux of an inverter-fed induction motor, which is also applicable to induction generators. Discrete dynamic model of the induction machine is applied in stationary reference frame with pr...
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middle technical university
2024-09-01
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| Series: | Journal of Techniques |
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| Online Access: | https://journal.mtu.edu.iq/index.php/MTU/article/view/2598 |
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| author | Adeola Balogun Sodiq Agoro Sunday Adetona Ayobami Olajube Frank Okafor |
| author_facet | Adeola Balogun Sodiq Agoro Sunday Adetona Ayobami Olajube Frank Okafor |
| author_sort | Adeola Balogun |
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Presented in this paper is a direct model predictive control (MPC) for directly controlling the rotor speed and flux of an inverter-fed induction motor, which is also applicable to induction generators. Discrete dynamic model of the induction machine is applied in stationary reference frame with pre-set present and past reference values of the speed and rotor flux for generating the stator current references The uniqueness of the MPC proposed herein is that it does not require outer cascade proportional plus integral (PI) controllers used for regulating rotor speed and flux. Elimination of the outer loop cascade is made possible in this article by the introduction of a unique four-term cost function comprising of weighted magnitudes of the errors between four measured state variables and their reference commands. The four state variables in the unique cost function are the rotor speed, the rotor flux linkage, quadrature axis and direct axis stator currents. The MPC minimizes the cost function at every switching instance by selecting the switching states that gives the least cost function. Consequently, the selected optimal switching states are used to switch optimal inverter output voltages across the machine’s stator terminals. As a precursor for obtaining an optimal rotor flux command in the MPC for every torque output, another unique efficiency improvement scheme is developed, which uniquely determines the stator angular velocity and the rotor flux that minimizes the core and copper losses while maintaining a constant slip operation. Therefore, efficacy of the proposed direct model predictive control scheme is verified by comparing its results to results obtained from equivalent vector control on equivalent machine. Results presented show lower loss regime with MPC on optimal stator angular velocity and rotor flux than vector control.
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| format | Article |
| id | doaj-art-1b9d548dd6e44872829cd4cc53e237de |
| institution | Kabale University |
| issn | 1818-653X 2708-8383 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | middle technical university |
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| series | Journal of Techniques |
| spelling | doaj-art-1b9d548dd6e44872829cd4cc53e237de2025-01-19T10:56:28Zengmiddle technical universityJournal of Techniques1818-653X2708-83832024-09-016310.51173/jt.v6i3.2598An Efficiency Optimized Direct Model Predictive Control of Induction Machine DriveAdeola Balogun0Sodiq Agoro1Sunday Adetona2Ayobami Olajube3Frank Okafor4University of Lagos, Akoka, NigeriaCorporate Research Center, ABB Inc., Raleigh, North Carolina, USAUniversity of Lagos, Akoka, NigeriaFlorida State University, Tallahassee, Florida, USAUniversity of Lagos, Akoka, Nigeria Presented in this paper is a direct model predictive control (MPC) for directly controlling the rotor speed and flux of an inverter-fed induction motor, which is also applicable to induction generators. Discrete dynamic model of the induction machine is applied in stationary reference frame with pre-set present and past reference values of the speed and rotor flux for generating the stator current references The uniqueness of the MPC proposed herein is that it does not require outer cascade proportional plus integral (PI) controllers used for regulating rotor speed and flux. Elimination of the outer loop cascade is made possible in this article by the introduction of a unique four-term cost function comprising of weighted magnitudes of the errors between four measured state variables and their reference commands. The four state variables in the unique cost function are the rotor speed, the rotor flux linkage, quadrature axis and direct axis stator currents. The MPC minimizes the cost function at every switching instance by selecting the switching states that gives the least cost function. Consequently, the selected optimal switching states are used to switch optimal inverter output voltages across the machine’s stator terminals. As a precursor for obtaining an optimal rotor flux command in the MPC for every torque output, another unique efficiency improvement scheme is developed, which uniquely determines the stator angular velocity and the rotor flux that minimizes the core and copper losses while maintaining a constant slip operation. Therefore, efficacy of the proposed direct model predictive control scheme is verified by comparing its results to results obtained from equivalent vector control on equivalent machine. Results presented show lower loss regime with MPC on optimal stator angular velocity and rotor flux than vector control. https://journal.mtu.edu.iq/index.php/MTU/article/view/2598Induction MachinesPI ControllerDirect Model Predictive ControlCost Function MinimizationState Variables |
| spellingShingle | Adeola Balogun Sodiq Agoro Sunday Adetona Ayobami Olajube Frank Okafor An Efficiency Optimized Direct Model Predictive Control of Induction Machine Drive Journal of Techniques Induction Machines PI Controller Direct Model Predictive Control Cost Function Minimization State Variables |
| title | An Efficiency Optimized Direct Model Predictive Control of Induction Machine Drive |
| title_full | An Efficiency Optimized Direct Model Predictive Control of Induction Machine Drive |
| title_fullStr | An Efficiency Optimized Direct Model Predictive Control of Induction Machine Drive |
| title_full_unstemmed | An Efficiency Optimized Direct Model Predictive Control of Induction Machine Drive |
| title_short | An Efficiency Optimized Direct Model Predictive Control of Induction Machine Drive |
| title_sort | efficiency optimized direct model predictive control of induction machine drive |
| topic | Induction Machines PI Controller Direct Model Predictive Control Cost Function Minimization State Variables |
| url | https://journal.mtu.edu.iq/index.php/MTU/article/view/2598 |
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