Experimental Stability Study of Modulated Model Predictive Current Controllers Applied to Six-Phase Induction Motor Drives

Ayala, Magno; Doval-Gandoy, Jesús; González, Osvaldo; Rodas, Jorge; Gregor, Raúl; Rivera, Marco

doi:10.1109/tpel.2021.3081347

Cited by 23 publications

(10 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Instead of discarding this controller due to its high harmonic distortion, several solutions based on enhancing its implicit modulators, such as multi-vector solutions as control actions, have been proposed. We can see from (Ayala et al, 2021a). Figure 12K,L show the trend charts of the maximum stable rotor speeds, which is defined as the rotor speed where the stator currents controller can no longer be appropriately regulated as more significant oscillations appear, destabilizing the system and average switching frequencies for classic MPC, M2PC and N-M2PC at different sampling frequencies.…”

Section: Experimental Assessmentmentioning

confidence: 99%

See 1 more Smart Citation

Recent Advances in Model Predictive and Sliding Mode Current Control Techniques of Multiphase Induction Machines

et al. 2021

Self Cite

View full text Add to dashboard Cite

Multiphase machines have attracted the attention of the research and industrial communities due to their advantages, namely better power distribution and fault-tolerant capabilities without extra hardware. However, the multiphase machine requires high-performance control strategies to take advantage of these features. From this perspective, the field-oriented control with the inner current control loop that uses using an explicit modulation stage has been considered the benchmark solution thanks to the reduced harmonic distortion obtained with this regulation strategy. Nevertheless, nonlinear controllers, thanks to their inherent nature, allow exploiting the extra multiphase capabilities in a simplified manner. Consequently, this paper aims to concentrate and discuss the latest developments on nonlinear current control of two of the most popular multiphase electric drive configurations, five-phase and six-phase. Then, this paper covers mainly finite-control-set model predictive control and their variations. Moreover, sliding-mode control is also explained. Finally, this paper includes experimental assessments of the most recent nonlinear current control techniques considering steady-state and transient conditions, stability and performance analysis.

show abstract

Section: Experimental Assessmentmentioning

confidence: 99%

“…Therefore, in the FOC technique, the outer speed Proportional-Integral (PI) loop is combined with multiple inner PI current controllers. More sophisticated nonlinear control techniques recently replaced conventional linearized control methods to improve the system's performance and stability (Ayala et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Model Predictive and Sliding Mode Current Control Techniques of Multiphase Induction Machines

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…While traditional methods for achieving maximum torque at high speeds in three-phase machines, such as the stator flux method [20][21][22][23], have been extensively studied, this has not been the case for FCS-MPC applied to multiphase machines. Despite stability analyses considering the maximum achievable rotation speed with the controller sampling frequency being performed in some studies, such as [24], the effects of FW on multiphase machines have yet to be thoroughly investigated. As previously reported, induction machines aim to achieve the maximum possible torque at higher speeds than the nominal speed while accounting for electromagnetic FW.…”

Section: Introductionmentioning

confidence: 99%

Field-Weakening Strategy with Modulated Predictive Current Control Applied to Six-Phase Induction Machines

Ayala,

Doval-Gandoy,

Rodas

et al. 2024

Machines

Self Cite

View full text Add to dashboard Cite

The predictive current controller has arisen as a practicable technique for operating multiphase machines due to its fast dynamic response, control flexibility, and overall good performance. However, this type of controller has limitations, e.g., it tends to suffer from steady-state tracking errors in (d−q) currents; high computational burden; and high (x−y) currents, which become more pronounced at higher speeds, thereby worsening its sustainability. While some proposals have addressed these limitations by incorporating modulation stages and new cost functions, there is still room for improvement, particularly at higher speeds. In line with the pursuit of sustainable advancements, this article explores the integration of a field-weakening strategy with a modulated predictive current controller applied to a six-phase induction machine to improve its performance at current tracking for higher speed ranges. Experimental tests were conducted to validate the effectiveness of the proposed controller, assessing stator current tracking, reduction in the (x−y) currents, and the total harmonic distortion.

show abstract

“…Through this algorithm the deviations between desired currents and predicted currents can be minimized. Apart from single or three phase IM, predictive mechanism has also provided a genuine control algorithm for multi-phase machines such as five phase or six phase [19][20][21] to optimize the machine performances. To regulate the phase angles of stator phase currents a predictive phase angle controller has been assigned [22] and overall machine characteristics have been analyzed.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of Three Phase Inverter Fed Induction Motor Drive By FCS And I-FCS Based Predictive Current Controllers

Chirantan

Pati

2023

Preprint

View full text Add to dashboard Cite

In modern control system dilemma Model Predictive Control (MPC) mechanism is the widely used optimization tool. This scheme predicts the upcoming behavior of a plant parameter by defining a mathematical model in terms of present state variables. In this paper Predictive Current Control (PCC) techniques of a Three Phase Inverter fed Induction Motor (IM) Drive have been proposed. The predictive control action is categorized in to Finite Control Set (FCS) and Integral Finite Control Set (IFCS) approach. FCS-MPC control algorithm is based on evaluation of a cost function and selecting the control signal from a finite set of signals which satisfies minimum value of the cost function, which is formulated by calculating the square error, i.e. the reference current against the stator measured current. But in IFCS-MPC method cascade feedback structure is employed with appropriate controller gain to obtain an optimal set of control variables. With the direction in minimization of principle, these methods provide the control of the switching states for inversion, to the inverter and inverter generates actuating voltage signals to the induction motor. In these methods, finite numbers of vectors of voltages are considered to achieve the switching states for operation. The electromagnetic torque and load currents of IM obtained from each of the implemented control techniques have been compared to identify the most flexible and robust predictive strategy. All these control methods have been investigated using MATLAB/Simulink environment.

show abstract

Experimental Stability Study of Modulated Model Predictive Current Controllers Applied to Six-Phase Induction Motor Drives

Cited by 23 publications

References 43 publications

Recent Advances in Model Predictive and Sliding Mode Current Control Techniques of Multiphase Induction Machines

Recent Advances in Model Predictive and Sliding Mode Current Control Techniques of Multiphase Induction Machines

Field-Weakening Strategy with Modulated Predictive Current Control Applied to Six-Phase Induction Machines

Dynamics of Three Phase Inverter Fed Induction Motor Drive By FCS And I-FCS Based Predictive Current Controllers

Contact Info

Product

Resources

About