Simplified simulation methods for polyphase brushless DC motors

https://doi.org/10.1016/j.matcom.2003.07.002Get rights and content

Abstract

This paper presents a simulation method for brushless DC motors. The purpose of this method is to provide a solution to the initial design process, where the simulation speed is important due to the numerous variables that have to be considered. The method requires a reduced number of parameters in order to simplify it and to facilitate the design process. It is applicable to polyphase motors regardless of its connection or phase number. The simulation method can simulate the phase current control system or a DC bus current feedback system. The later control system is widely used in low-cost brushless DC motors. The simulation method is based upon the average value modelling of the inverter leg, at the PWM scale, in different modulation conditions, modelling almost all the inverter structures with transistors as active elements. The experimental results from a seven-phase brushless DC motor with one uncontrolled phase validate the modelling method. The comparison of the average torque, the current, voltage and torque waveforms in several operating conditions shows that the simulation method can predict the comportment of a brushless DC motor without an excessive computational burden, so it can be readily used as a design tool for this kind of motor.

Introduction

The time constants involved in the operation of a drive are varying on a wide range. For example, the thermal time constants used to study the thermal behaviour of the drive under specific application operation cycles can be up to 105 times higher than the time steps witch are necessary to study the detailed commutation of the inverter switches. A global simulation approach taking account of all the thermal, mechanical and electrical transient operations of the drive is not applicable because the simulation speed will be totally inefficient. Suitable simplifying assumptions must be adopted to model the system on a frequency range adapted to the kind of specific behaviour to study. When a simulation tool is used as a part of a global optimisation process with a lot of iterations, it is very important to use specific methods which present a good compromise between precision and computation speed.

According to these problems, this paper presents a general simulation method for an efficient computation of the torque-speed characteristics of the drives using polyphase brushless DC motors fed by a PWM inverter with a current regulation. The method is based upon an estimation of the average value of voltages and currents on each PWM period to improve the simulation speed. The use of average variables has been widely used for the simulation of static converters or for the design of their control system [4], [6]. The averaging method has been extended to resonant converters [7], [12], to study of the discontinuous conduction operation mode [9] and even for SPICE equivalent circuits [1], [11].

Several methods have been proposed in the literature for the modelling of brushless motor drives by use of the average variables. In [5], an analytical approach is developed with some numerical approximations. The model is using the abc variables, and the neutral-point voltage to determine the motor phase voltages. In [10], a model with Park variables adapted to three phase machines and square wave currents is presented. In this paper, the authors report that there are several problems to predict the behaviour with a phase angle advance. This motor model assumes that there is no zero sequence of emf and it calculates the neutral voltage to obtain the individual phase voltage. Reference [2] shows that it is possible to use the neutral voltage in the control system to improve the performance. Another approach to the polyphase brushless DC motor modelling is presented in [3] with an exhaustive approach for a five-phase motor. It is possible to model a hysteresis controller using an optimisation process as in [4]. Reference [8] presents a combined simulation system with variable degrees of complexity.

The simulation method presented in this paper is using a linear function to approximate the non-linear behaviour of the voltage inverter. When it is compared to the previously developed approaches, the proposed model is different.

  • It is independent of the number of phases and of the machine winding connections.

  • It can be used to simulate many modulation and control strategies like the DC bus current control strategy widely used in brushless DC drives.

  • It takes into account the commutation of the phase currents and the electromagnetic torque pulsations.

Section snippets

Objectives of the modelling method

The simulation method must respect specific constraints, like a minimal computation time, a reduced complexity of the model structure, a minimal number of parameters, and the ability to study different systems structures with the same simulation process.

The minimisation of the simulation time is important if several structures need to be iteratively compared during the optimal design process. The simplicity of the modelling is useful to test efficiently different methods with a reduced number

Electrical model

The model of the brushless PM DC machine is represented by a matrix differential equation like Eq. (1). The inductance matrix can or cannot possess non-diagonal terms representing the magnetic couplings between the phase windings. This characteristic depends upon the structure of the machine.V=RI+pΩdL(θ)dθI+LdIdt+pΩdλ(θ)dθV is the vector of the phase to phase voltages; I the phase current vector; L the inductance matrix; R the resistance matrix; p the pole number; Ω the mechanical speed; λ the

Inverter modelling

The PWM modulation is neglected to improve the simulation speed. The method is using the average value of the output voltages and currents on one modulation period. The study is limited to the structures which use transistors as active elements.

A piecewise linear function is used to model the inverter leg. It presents one linear transition region between two saturation regions. The average value response of an ideal inverter leg composed of ideal transistors and diodes, determines the two

Control model

Several control strategies can be used in brushless DC motors. In the simulation, all the variables describing the inverter and motor behaviour can be used as inputs of the control system, because they are already accessible. However, some control strategies can require some additional assumptions for simplifying the implementation.

A complete state feedback control strategy is using one current controller per phase. The system is controlling the phase voltages by sensing the terminal currents (

DC bus current sensor model

Most low cost controllers for brushless DC machines use a DC bus current sensor. They need only one current sensor. The phase current signal is extracted from the signal of the DC bus sensor by a specific circuit (Fig. 10). In three phase machines, there are only two phases in series at the same time. The controlling of the DC bus current is then equivalent to the control of the phase current. If more than two phases are in series at the same time, the extracted signal corresponds to the

Experimental validation

A prototype of seven-phase DC brushless motor drive has been designed and realised to validate the proposed simulation method (Fig. 11). The system is composed of a seven-phase machine and a current controlled voltage inverter, with programmable current reference signals. The programmed reference signals are sinusoidal waveforms sampled at 14 times the fundamental frequency. These signals can be easily generated from seven Hall effect rotor position sensors. The machine parameters are presented

Conclusion

In this paper, we have presented an average value model for brushless DC motors drives which is applicable to a wide range of systems with different phase numbers and winding connections. The precision and efficiency of the simulation method has been validated by the experimental tests on several prototypes.

References (12)

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