EPE 2014 - LS1c: Drive Control | ||
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2014 ECCE Europe - Conference > EPE 2014 - Topic 04: Electrical Machines and Drive Systems > EPE 2014 - LS1c: Drive Control | ||
![]() | [return to parent folder] | |
![]() | Advanced Sensorless Control System for PMSM-based Automotive Application
By Luca VOLA GERA, Gianluca BOTTO, Lester SUAREZ CABRERA, Marcello CHIABERGE | |
Abstract: Electrical drives are widely used in industrial applications like energy production, management and recovery.In this paper the control of PM motors for high speed automotive applications is investigated.Here, an improved DQ Control with a Sliding Mode Observer is implemented to guarantee high efficiency. As a result, comparisons are made between simulation and experimental test, illustrating theperformance of the drive technique and the control design approach.
| ||
![]() | Conventional control with nested loops including an acceleration loop
By Pierre-Philippe ROBET, Maxime GAUTIER | |
Abstract: For haptic applications, the control of the effort around a position requires to minimize the effect of non-linearity of the viscous friction coefficient. The rejection capacity of this disturbance is therefore of great importance. It has been shown that introducing an acceleration loop decreases the position error significantly with torque perturbations. We propose to make a very simple control law with acceleration loop from a conventional control with nested loops.
| ||
![]() | Model predictive direct torque control of induction machines using a two-fold state approximation strategy
By Amin MAHDIZADEH, ELHAM MOHAMMADALIPOUR TOFI, Mohammad Reza FEYZI | |
Abstract: This paper presents a novel method for adopting the concept of Model Predictive Control (MPC) in Direct Torque Control (DTC) of Electrical machines. The proposed algorithm enhances the performance of a DTC controller by keeping the motors electromagnetic torque and stator flux magnitude within predefined hysteresis bounds while minimizing the switching power losses. The MPC controller predicts the output trajectories using an explicit model of the drive. A two-fold state approximation policy limits the quantity of the admissible outputs in drawing the tree of feasible trajectories over the prediction horizon. The chains of switching sequences and relevant switching losses are identified and a dynamic programming algorithm chooses the chain of switching sequences that minimizes a cost function on power losses in the inverter. Using receding horizon policy, only the first component of this chain is applied to the machine as the input signal at every sampling instant. The simulations are performed a small-sized induction motor-drive unit. The outcomes verify the advantages of this method in comparison with classic DTC.
| ||
![]() | Sensorless Torque control of induction machine in low speed and low torque region
By ANNO YOO, Chanook HONG, Young-doo YOON | |
Abstract: This paper proposes a control strategy for a sensorless torque control when an induction machine isdriven with the adaptive full-order observer. In low speed and low torque reference region, themagnitudes of stator voltage and current which are the inputs of the adaptive full-order observer forthe sensorless control are too small. And, the frequency is too low to obtain the high performancesensorless torque control. In order to enhance the control performance of the sensorless torque control,the proposed strategy modifies the d- and q-axis current references in the synchronous reference frameconsidering the current limit, voltage limit, the rated slip frequency and the magnetizing currentconditions. Even though the current reference is modified for the better performance, the generatedtorque is kept as a constant value. Based on the proposed strategy, the performance of sensorlesstorque mode control can be improved remarkably even in the low speed and low torque operation.Validation of the proposed strategy is evaluated at 7.5kW experimental setup.
| ||