Finite control set and modulated model predictive flux and current control for induction motor drives

Abstract

-The paper presents a new implementation of direct flux and current vector control of an induction motor drive using the techniques of model predictive control. The advantages offered by predictive control are used to enhance the dynamics of direct flux vector control. To minimize the problems of variable switching frequency inherent to finite control set predictive control, an alternative approach using pulse width modulation is studied for command execution as occurs in the so-called modulated model predictive control. A comparison between finite control set and modulated model predictive control is presented and the results are also compared with the control implementation through traditional proportional-integral regulators to highlight the advantages and drawbacks of predictive control based strategies. Apart from a greater harmonic content in stator currents, the predictive control can offers control dynamics comparable with proportional-integral control while maintaining immunity against machine parameter variations and excluding the need for controller tuning.

Indirect predictive control techniques for a matrix converter operating at fixed switching frequency

“…Both the variable switching frequency operation and the application of a single vector during the sampling period lead to high ripples in controlled variables which affects system performance. Modulated MPC (M2PC) has become one of the most popular techniques which emulates SVM by using MPC [4], [5]. This aproach keeps the advantages of traditional MPC techniques such as fast dynamic response, multi objective control and easy inclusion of nonlinearities and constraints.…”

“…As indicated in (2), the relationship between the input voltage v i and load voltage v o depends on the state of the switching matrix T. Based on the fictitious definition, the load voltage v o is given as indicated in (15). At the same time, the fictitious dc-link voltage v dc is given by (5). In summary,…”

Model Predictive Direct Flux Vector Control of Multi-three-Phase Induction Motor Drives

“…In this context, a relevant development has been reached in the predictive torque control [1][2][3][4][5][6] that presents several advantages. Its most salient feature is the improvement of the dynamic torque response, generally better than traditional feedback controls [3].…”

“…Its most salient feature is the improvement of the dynamic torque response, generally better than traditional feedback controls [3]. Another aspect is a less demanding calibration of the control parameters and settings [6]. On the other hand, the use of predictive algorithms requires a good estimation of the machine's parameters and, in general, a greater computational power with respect to traditional control strategies.…”

Indirect model predictive control strategy with active damping implementation for a direct matrix converter operating at fixed switching frequency

“…One of the most famous strategy is modulated MPC (M2PC) where the cost function is used for the adequate selection of adjacent vectors and duty cycles in one sampling instant to be applied in the next period to the converter. The concept consists in to use MPC to emulate SVM [8], [9]. With this technique, it is possible to maintain the characteristics of traditional MPC methods such as multi objective control, fast dynamic response, simple inclusion of nonlinearities and constrains but ensuring a fixed switching operation, mitigating the ripple of the controlled variables and improving the system behaviour.…”