EPE Association: EPE 1995 - 24 - Lecture Session L6d: SERVO DRIVES AND ACTUATORS

EPE 1995 - 24 - Lecture Session L6d: SERVO DRIVES AND ACTUATORS
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1995 - Conference > EPE 1995 - 24 - Lecture Session L6d: SERVO DRIVES AND ACTUATORS

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   MODELLING AND CLOSED-LOOP EXPERIMENTS WITH A PRECISION BRUSHLESS DC DRIVE FOR VIDEO RECORDING APPLICATIONS
By Henk Huisman; Maarten Steinbuch [View]
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Abstract: The Video Cassette Recorder has become a well-known consumer product. In order to enhance the quality of the reproduced pictures, precise control of the capstan and scanner servo loops is needed. The paper treats the detailed modelling of the servo loop, both using a classic Brush DC Motor model and an advanced Brushless DC Motor (BLDCM) model. For the case of the BLDCM, a simulation package with the ability to handle state-driven events has been used. Simulations of the two models are compared to measured data, and excellent agreement between the models and the real system is found.

   POSITIONING ACCURACY OF A SENSORLESS CONTROLLED SERVO DRIVE SYSTEM
By A. Broesse; G. Henneberger; Th. Klepsch [View]
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Abstract: An indirect position controlled drive system without mechanical position sensor can be realized using a sensorless operating permanent excited synchronous machine. The pole-position and the rotor speed of the machine are estimated by an extended Kalman filter using only the line voltages and currents. The actual position of the load is indirectly determined form the estimated pole-position. At standstill a small sinusoïdal current, impressed into the d-axis of the motor, enables the Kalman filter to determine the pole-position independent of the load of the drive. The practical results show, that especially at standstill the operating range of such a drive is not limited by the replacement of the mechanical sensors. The achievable position accuracy of the sensorless drive system is measured arid evaluated.

   PARAMETER ESTIMATION IN A GEARED FLEXIBLE MECHANICAL SYSTEM USING A COMPOSITE NEURAL NETWORK-CONVENTIONAL APPROACH
By J.G. O' Donovan; RC. Kavanagh; J.M.D. Murphy; P.J. Roche; M.G. Egan [View]
[Download]

Abstract: This paper introduces a novel approach to parameter identification for nonlinear systems. A typical system to which the technique may apply is a drive motor coupled to a load in a nonlinear fashion. The algorithm includes iterative use of recursive least squares and neural net filtering of sensor quantisation noise. The effectiveness of the proposed method is tested by considering a geared mechanical system with flexible transmission dynamics in which the gear coupling exhibits a bard non-linearity in the form of backlash. The governing system parameters, which include those of the gear, drive motor, shaft and load parameters are determined sequentially.

   DYNAMICAL BEHAVIOUR OF A BRUSHLESS DC MOTOR. DIRECT FINITE ELEMENT PREDICTION AND PARAMETERS DETERMINATION
By Daho Taghezout; Patrick Lombard [View]
[Download]

Abstract: Variable speed drives using electronically commutated PM synchronous machines are becoming popular for such applications as machine tools spindle, hard disk drives, vehicle propulsion and pumps. In order to reduce the development costs, their design must increasingly rely on powerful simulation tools capable of accurateiy predicting the behaviour of the drive system (supply converter, control circuitry, motor and mechanical load). The finite element method has long been used to derive accurate lumped parameter models of the motor. Using these models the prediction and optimisation of the system behaviour is conducted with the help of a circuit simulation software. New and powerful features, namely the coupling of circuit equations to the finite element problem and the integration of the rotor motion within the problem resolution have opened new ways for finite element software to directly and accurately model the drive system dynamical behaviour. This paper will present these new features and an application to an electronically commutated PM motor.

EPE 1995 - 24 - Lecture Session L6d: SERVO DRIVES AND ACTUATORS
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1995 - Conference > EPE 1995 - 24 - Lecture Session L6d: SERVO DRIVES AND ACTUATORS
	[return to parent folder]

	MODELLING AND CLOSED-LOOP EXPERIMENTS WITH A PRECISION BRUSHLESS DC DRIVE FOR VIDEO RECORDING APPLICATIONS By Henk Huisman; Maarten Steinbuch	[View] [Download]
Abstract: The Video Cassette Recorder has become a well-known consumer product. In order to enhance the quality of the reproduced pictures, precise control of the capstan and scanner servo loops is needed. The paper treats the detailed modelling of the servo loop, both using a classic Brush DC Motor model and an advanced Brushless DC Motor (BLDCM) model. For the case of the BLDCM, a simulation package with the ability to handle state-driven events has been used. Simulations of the two models are compared to measured data, and excellent agreement between the models and the real system is found.

	POSITIONING ACCURACY OF A SENSORLESS CONTROLLED SERVO DRIVE SYSTEM By A. Broesse; G. Henneberger; Th. Klepsch	[View] [Download]
Abstract: An indirect position controlled drive system without mechanical position sensor can be realized using a sensorless operating permanent excited synchronous machine. The pole-position and the rotor speed of the machine are estimated by an extended Kalman filter using only the line voltages and currents. The actual position of the load is indirectly determined form the estimated pole-position. At standstill a small sinusoïdal current, impressed into the d-axis of the motor, enables the Kalman filter to determine the pole-position independent of the load of the drive. The practical results show, that especially at standstill the operating range of such a drive is not limited by the replacement of the mechanical sensors. The achievable position accuracy of the sensorless drive system is measured arid evaluated.

	PARAMETER ESTIMATION IN A GEARED FLEXIBLE MECHANICAL SYSTEM USING A COMPOSITE NEURAL NETWORK-CONVENTIONAL APPROACH By J.G. O' Donovan; RC. Kavanagh; J.M.D. Murphy; P.J. Roche; M.G. Egan	[View] [Download]
Abstract: This paper introduces a novel approach to parameter identification for nonlinear systems. A typical system to which the technique may apply is a drive motor coupled to a load in a nonlinear fashion. The algorithm includes iterative use of recursive least squares and neural net filtering of sensor quantisation noise. The effectiveness of the proposed method is tested by considering a geared mechanical system with flexible transmission dynamics in which the gear coupling exhibits a bard non-linearity in the form of backlash. The governing system parameters, which include those of the gear, drive motor, shaft and load parameters are determined sequentially.

	DYNAMICAL BEHAVIOUR OF A BRUSHLESS DC MOTOR. DIRECT FINITE ELEMENT PREDICTION AND PARAMETERS DETERMINATION By Daho Taghezout; Patrick Lombard	[View] [Download]
Abstract: Variable speed drives using electronically commutated PM synchronous machines are becoming popular for such applications as machine tools spindle, hard disk drives, vehicle propulsion and pumps. In order to reduce the development costs, their design must increasingly rely on powerful simulation tools capable of accurateiy predicting the behaviour of the drive system (supply converter, control circuitry, motor and mechanical load). The finite element method has long been used to derive accurate lumped parameter models of the motor. Using these models the prediction and optimisation of the system behaviour is conducted with the help of a circuit simulation software. New and powerful features, namely the coupling of circuit equations to the finite element problem and the integration of the rotor motion within the problem resolution have opened new ways for finite element software to directly and accurately model the drive system dynamical behaviour. This paper will present these new features and an application to an electronically commutated PM motor.