We present a new approach for the synthesis of robust fault detection filters for the model based diagnosis of actuator faults. The underlying synthesis model is a linear pa- rameter varying (LPV) description obtained...
详细信息
Permanent magnet synchronous motors (PMSMs) produce a parasitic oscillating torque due to several reasons. This contribution cancels the oscillating torque with adaptive control algorithms. Therefore a mathematical mo...
详细信息
Permanent magnet synchronous motors (PMSMs) produce a parasitic oscillating torque due to several reasons. This contribution cancels the oscillating torque with adaptive control algorithms. Therefore a mathematical model of the PMSM is necessary. A model with nonlinear dynamics and a Fourier approach for the ripples is used as a mathematical description. Through comparisons between measured data and simulated data it is shown that the model assumptions are valid. The adaptive algorithm is implemented as an add-on controller to the already existing control system which consists of a feedforward part and a basis controller. The challenge is that the closed loop system has a resonant frequency and the algorithm should have the same performance for all frequencies. Experimental results show the performance and convergence of the adaptive algorithm at constant and non constant velocity.
Abstract Robots are often run with permanent magnet synchronous motors (PMSM) with a high ratio gearbox. Both parts can produce parasitic oscillations (ripples), which let the robot shake at tool center point. The gea...
Abstract Robots are often run with permanent magnet synchronous motors (PMSM) with a high ratio gearbox. Both parts can produce parasitic oscillations (ripples), which let the robot shake at tool center point. The gearbox ripple problem is more complicated to be solved with control theory because only motor side sensors should be used. Due to the internal model principle gearbox side information is necessary to solve the problem. The first algorithm uses an observer to get gearbox side information where the second algorithm uses a gearbox side rate sensor. The algorithms are tested with a nonlinear SISO problem and with a nonlinear MIMO system. In both cases the ripples are canceled with an adaptive controller which estimates the phase and magnitude of the ripple. This adaptive controller is designed separately and is added to the existing basis controller. The algorithms are tested in simulation and on a testbed, which is an industrial application.
This paper introduces a multi-level power quality assessment approach towards virtual testing of more electric aircraft. Three levels with increasing accuracies are rough, approximated and exact power quality assessme...
详细信息
This paper introduces an optimization based approach towards steady-state analysis of switched power electronic systems. The convergence performance of the optimization is improved by the estimation of the state varia...
详细信息
ISBN:
(纸本)9781424474639
This paper introduces an optimization based approach towards steady-state analysis of switched power electronic systems. The convergence performance of the optimization is improved by the estimation of the state variables in steady-state. Accurate state variable estimation can be achieved by previously simulating a set of multi-resolution approximations - averaged models of the original topological model using generalized averaging technique. An unified harmonic state space representation for a wide class of power electronic systems is presented to allow automatical generation of the averaged models with selective approximation accuracy. The proposed approach that has been implemented in Dymola is demonstrated by a pulse width modulated buck converter.
In this paper, a health monitoring problem for the electrical network of more electric aircraft is addressed. To undertake the health monitoring task, the multi‐model detection technique is applied. Multi‐model base...
In this paper, a health monitoring problem for the electrical network of more electric aircraft is addressed. To undertake the health monitoring task, the multi‐model detection technique is applied. Multi‐model based approach associates to each health status a corresponding linear time invariant model which is derived by adjusting appropriately the non‐faulty system model to a particular fault situation. The original health monitoring problem can be therefore formulated as a model detection problem. Besides the introduction of the theoretical preliminary of multi‐model based approach, the computer‐aided design process, right‐sized modelling and realtime simulation based validation for residual generator with Dymola and Matlab are also discussed. Health monitoring for an input filter of an DC motor drive serves as an application case to illustrate the proposed scheme. The designed residual generators are validated on the original nonlinear system with time‐domain simulation.
The evolution equation describing the propagation of one-dimensional waves in a microstructured material has the form of an extended Korteweg-de Vries equation, where the additional term reflects the influence of micr...
详细信息
The evolution equation describing the propagation of one-dimensional waves in a microstructured material has the form of an extended Korteweg-de Vries equation, where the additional term reflects the influence of micrononlinearity. As shown by lanno and Engelbrecht (J. Phys. A: Math. Gen., 2005, 38, 5159-5172), solitary waves in a microstructured material become asymmetric if nonlinearities are taken into account in both macro- and microscale. The present paper generalizes previous results to periodic waves which, in the KdV case, have the form of cnoidal waves. It is shown that, due to the nonlinearity in microscale, these waves become inclined in the same manner as solitary waves, while the relations between the period, amplitude, and velocity are not affected.
The development of future more electric aircraft systems is a challenging process: The respective subsystems are highly integrated to achieve an optimum efficiency and performance both at aircraft and at systems level...
详细信息
The development of future more electric aircraft systems is a challenging process: The respective subsystems are highly integrated to achieve an optimum efficiency and performance both at aircraft and at systems level. For master this multi-disciplinary challenge, the use of powerful modeling and simulation technologies such as Modelica in all phases of the system development process is a key success factor. In this paper, a novel Modelica signal analysis tool-Modelica Scope that is suitable for the virtual testing activities in the verification and validation phase is presented. The Modelica Scope tool is implemented in the Modelica language incorporating diverse signal measurement and analysis capabilities and can be easily integrated in all simulation environments supporting Modelica such as Dymola, SimulationX etc. The motivation, design concept as well as implementation and distinct features of the tool are discussed and illustrated.
The development of future more electric aircraft systems is a challenging process: The respective subsystems are highly integrated to achieve an optimum efficiency and performance both at aircraft and at systems level...
详细信息
The development of future more electric aircraft systems is a challenging process: The respective subsystems are highly integrated to achieve an optimum efficiency and performance both at aircraft and at systems level. For master this multi-disciplinary challenge, the use of powerful modeling and simulation technologies such as Modelica in all phases of the system development process is a key success factor. In this paper, a novel Modelica signal analysis tool - Modelica Scope that is suitable for the virtual testing activities in the verification and validation phase is presented. The Modelica Scope tool is implemented in the Modelica language incorporating diverse signal measurement and analysis capabilities and can be easily integrated in all simulation environments supporting Modelica such as Dymola, SimulationX etc. The motivation, design concept as well as implementation and distinct features of the tool are discussed and illustrated.
This paper introduces an optimization based approach towards steady-state analysis of switched power electronic systems. The convergence performance of the optimization is improved by the estimation of the state varia...
详细信息
This paper introduces an optimization based approach towards steady-state analysis of switched power electronic systems. The convergence performance of the optimization is improved by the estimation of the state variables in steady-state. Accurate state variable estimation can be achieved by previously simulating a set of multi-resolution approximations - averaged models of the original topological model using generalized averaging technique. An unified harmonic state space representation for a wide class of power electronic systems is presented to allow automatical generation of the averaged models with selective approximation accuracy. The proposed approach that has been implemented in Dymola is demonstrated by a pulse width modulated buck converter.
暂无评论