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Performance Evaluation Between SMPTC and PTC for PMSM Drives
Cristian Garcia,Jose Rodriguez,Margarita Norambuena,S. Alireza Davari,Fengxiang Wang,Yongchang Zhang 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
Finite-set model predictive torque control (PTC) has been proposed as an attractive control strategy for drives, presenting high dynamic performance and a simple implementation. Its simplicity is due to the evaluation of single cost function based on the mathematical model prediction, however, the cost function needs a weighting factor to normalize and/or increase the importance of one of them control objectives, in this case torque and flux. Nowadays these weighting factors are a problem because there is no analytical method to determine its value, only there are some recommendations or suggestions for some specific applications. This paper validates the sequential model predictive torque control (SMPTC), which is a new strategy that does not need weighting factors, in a permanent magnet synchronous machine (PMSM) drives and compares its performance with the PTC standard. Simulation results are presented to demonstrate the good performance of SMPTC for PMSM and make the comparison with the PTC standard.
Garcia, Ana Flavia Quiles Marques,Murakami, Alice Eiko,Do Amaral Duarte, Cristiane Regina,Ospina Rojas, Ivan Camilo,Picoli, Karla Paola,Puzotti, Maira Mangili Asian Australasian Association of Animal Productio 2013 Animal Bioscience Vol.26 No.3
The objective of this experiment was to assess the use of different vitamin D metabolites in the feed of broiler chickens and the effects of the metabolites on performance, bone parameters and meat quality. A total of 952 one-day-old male broiler chicks were distributed in a completely randomised design, with four treatments, seven replicates and 34 birds per experimental unit. The treatments consisted of four different sources of vitamin D included in the diet, $D_3$, $25(OH)D_3$, $1,25(OH)_2D_3$, and $1{\alpha}(OH)D_3$, providing 2000 and 1600 IU of vitamin D in the starter (1 to 21 d) and growth phases (22 to 42 d), respectively. Mean weight, feed:gain and weight gain throughout the rearing period were less in animals fed $1{\alpha}(OH)D_3$ when compared with the other treatments (p<0.05). No significant differences were noted among the treatments (p>0.05) for various bone parameters. Meat colour differed among the treatments (p>0.05). All of the metabolites used in the diets, with the exception of $1{\alpha}(OH)D_3$, can be used for broiler chickens without problems for performance and bone quality, however, some aspects of meat quality were affected.
Multi-Domain Model for Electric Traction Drives Using Bond Graphs
Silva, Luis I.,De La Barrera, Pablo M.,De Angelo, Cristian H.,Aguilera, Facundo,Garcia, Guillermo O. The Korean Institute of Power Electronics 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.4
In this work the Multi-Domain model of an electric vehicle is developed. The electric domain model consists on the traction drive and allows including faults associated with stator winding. The thermal model is based on a spatial discretization. It receives the power dissipated in the electric domain, it interacts with the environment and provides the temperature distribution in the induction motor. The mechanical model is a half vehicle model. Given that all models are obtained using the same approach (Bond Graph) their integration becomes straightforward. This complete model allows simulating the whole system dynamics and the analysis of electrical/mechanical/thermal interaction. First, experimental results are aimed to validate the proposed model. Then, simulation results illustrate the interaction between the different domains and highlight the capability of including faults.
S. Rasul Eftekhari,S. Alireza Davari,Peyman Naderi,Cristian Garcia,Jose Rodriguez 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
Across the different variety of loss decreasing methods, the loss-model-based methods (LMM) show a fast response and a low torque pulsation. Despite all the mentioned advantages, the approach needs the precise loss model and the knowledge of the motor parameters. Furthermore, the application of the model-based method is direct torque, and flux control is more complicated because the magnetic coefficients of the motor should accurately identify. In this paper, To solve the LMM’s issues, a new model based approach has presented. The inaccuracy problem has fulfilled by dividing the homogenous parameters by each other. Via using this technique, the need for magnetic coefficient identification and the effect of inaccurate parameters have dwindled. Coupled with this, the requirement for computation of iron core loss coefficients have omitted by replacing of iron core loss resistance, which by this deed, in a manner, the estimation precision of iron core loss will enhance. At last, the proposed method had verified by simulation and the results are presented in table format, withal, the parameters of the simulated motor have identified by analyzing an induction motor (IM) in ANSYS Maxwell.
Multi-Domain Model for Electric Traction Drives Using Bond Graphs
Luis I. Silva,Pablo M. de la Barrera,Cristian H. De Angelo,Facundo Aguilera,Guillermo O. Garcia 전력전자학회 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.4
In this work the Multi-Domain model of an electric vehicle is developed. The electric domain model consists on the traction drive and allows including faults associated with stator winding. The thermal model is based on a spatial discretization. It receives the power dissipated in the electric domain, it interacts with the environment and provides the temperature distribution in the induction motor. The mechanical model is a half vehicle model. Given that all models are obtained using the same approach (Bond Graph) their integration becomes straightforward. This complete model allows simulating the whole system dynamics and the analysis of electrical/mechanical/thermal interaction. First, experimental results are aimed to validate the proposed model. Then, simulation results illustrate the interaction between the different domains and highlight the capability of including faults.