Comparative study of various current controllers for the switched reluctance machine

Rain, Xavier; Hilairet, Mickaël; Béthoux, Olivier

doi:10.1109/vppc.2010.5729145

Cited by 15 publications

(6 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This process can be accomplished with hysteresis band control [26]. This control is characterized with a variable switching frequency because it is conditioned by the rate of change of the electric phase current [27].…”

Section: Controlmentioning

confidence: 99%

See 1 more Smart Citation

Control and Dynamic Simulation of Linear Switched Reluctance Generators for Direct Drive Conversion Systems

Mendes¹,

Calado²,

Mariano³

2020

Modelling and Control of Switched Reluctance Machines

View full text Add to dashboard Cite

This chapter addresses the dynamic simulation and control of linear switched reluctance generators for direct drive conversion systems. The electromechanical energy conversion principles of linear switched reluctance machines are briefly explained. A detailed mathematical model is developed for linear switched reluctance generators. The different types of control strategies adopted for switched reluctance generators are referred. The hysteresis controller is applied to control the conversion system with constant damping load. The proposed control strategy also includes a DC/ DC isolated converter to control the system DC bus voltage by adjusting the energy flow between the conversion system and the resistive load. The mathematical model is applied to simulate the behavior of a tubular linear switched reluctance generator as power takeoff system in an ocean wave point absorber device. To accomplish this task, the dynamic equations of the point absorber are presented and integrated with the linear switched reluctance generator dynamic model. In the simulation process, the system is driven by a regular ocean wave and operates with constant damping load. The system performance is evaluated for different load values, and the simulation results are presented for the optimal damping load case scenario.

show abstract

Section: Controlmentioning

confidence: 99%

“…In Eq. (27), m ∞ is the added mass for infinite frequencies, K r is the radiation velocity impulse response, and _ z is the floating body and generator movable part. The hydrostatic force is:…”

Section: Point Absorber Mathematical Modelmentioning

confidence: 99%

Control and Dynamic Simulation of Linear Switched Reluctance Generators for Direct Drive Conversion Systems

Mendes¹,

Calado²,

Mariano³

2020

Modelling and Control of Switched Reluctance Machines

View full text Add to dashboard Cite

show abstract

“…n > 3500 rpm), the mag netization period start despite the demagnetization period is not finish. Therefore, the machine enters in the un-controlled continuous conduction mode [9].…”

Section: B Firs T Solution : Self Switching 'S Anticipationmentioning

confidence: 99%

“…The current's controller implemented is an "hybrid" current controller [9], which is an association of a ON-OFF con troller and IP (Integral-Proportional) controller. Therefore, it combines the main advantages of both: high dynamics, good robustness for the ON-OFF controller and low current ripples for the IP controller.…”

Section: Introductionmentioning

confidence: 99%

“…The torque translation into a current reference is located in a look-up table. Linear data interpolation is performed on-line to compute the optimal control parame ters.Many classical SRM torque controllers use this approach and rely on look-up tables of the control parameters.The current's controller implemented is an "hybrid" current controller [9], which is an association of a ON-OFF con troller and IP (Integral-Proportional) controller. Therefore, it combines the main advantages of both: high dynamics, good robustness for the ON-OFF controller and low current ripples for the IP controller.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Reducing the sampling frequency for the control of the switched reluctance machine

Rain

Hilairet

Arias

2012

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

Self Cite

View full text Add to dashboard Cite

Ahstract-This paper presents two solutions for dramatically reduce the sampling frequency and therefore the CPU demand while keeping the same performance in terms of torque ripple and efficiency on a SRM. The problem of a low sampling frequency with a regular control is first highlighted. Then, two different solutions are proposed for the self switching's function. Such solutions tries to magnetize the stator phase at an accurate instant in order to reduce the inherent torque ripple. Simulations results on a 8/6 SRM corroborate the validity of the proposed solutions and show the improvements of its performance.Index Terms-Switched reluctance machine, sampling period enlargement, self switching, torque ripple, efficiency. IN TRODUCTIONT HE switched reluctance machines (SRM) had attracted many researchers over the last decade. This is certainly due to its numerous advantages such as simple and robust construction, high-speed and high-temperature performance, low costs, and fault tolerant control capabilities [1], [2]. The performance of SRM has been enhanced greatly due to ad vances in power electronics and computer science. Nowadays, SRM are under consideration in various applications requiring high performances such as in electric vehicle propulsion However, several disadvantages like acoustic noise genera tion, torque ripple, nonlinear electromagnetic characteristics, the strong dependence on the rotor position, requirement of a high powerful processor are limiting its utilization compared to other type of machines.For cost reasons, manufacturers usually try to use economic processors, i.e. with a low sampling frequency. Therefore, the aim of this paper is to show that it is possible to control an SRM with no degradation of its performances, using low powerful processors. This paper is organized in three sections as follows: in the first section, the paper recalls the SRM's control. In the second section, the influence of a low sampling frequency II. SRM's CONTROL Fig.1 illustrates a SRM's control strategy based on an average torque control [7], [8]. The SRM's control consists of 4 functions: speed control, torque control strategy, a switch control signal generator and current control. The last 3 blocks compose an open-loop average torque control. As with any type of electrical machine, the speed controller's output pro vides the electromagnetic required torque T:rn.In this strategy, the reference torque is considered as an average torque over one conducting period. It is controlled indirectly by adjusting the three fundamental variables, i.e., reference-phase current J*, tum-on angle eon, and tum-off angle eo ff. One important feature of this regular controller is that the reference-phase current is constant over one excitation period. Thereby, this control is also called "square wave control". Many combinations of these control variables are possible to control the SRM at one specific torque-speed operating point. However, one suitable combination for one speed-torque operating point should be chosen, based o...

show abstract

Switched reluctance machines control with a minimized sampling frequency

Rain

Hilairet

Arias

2014

Energy Conversion and Management

View full text Add to dashboard Cite

Comparative study of various current controllers for the switched reluctance machine

Cited by 15 publications

References 16 publications

Control and Dynamic Simulation of Linear Switched Reluctance Generators for Direct Drive Conversion Systems

Control and Dynamic Simulation of Linear Switched Reluctance Generators for Direct Drive Conversion Systems

Reducing the sampling frequency for the control of the switched reluctance machine

Switched reluctance machines control with a minimized sampling frequency

Contact Info

Product

Resources

About