This paper investigates the problem of helicopter dynamic modelling using time-domain system identification techniques. The paper begins with a brief introduction to the state-space form of the perturbation model for helicopters, based on which, system identification modelling is performed. Then the MOESP (Multivariable Output-Error State sPace) subspace identification method is described. Computer simulations are carried out to illustrate the operation and performance of the method using concatenated data sets. The method is then applied to real data from EH101 helicopter flight tests and some preliminary results of identifying an extended dynamic model about the cruise condition are presented
This paper introduces a new approach for the identification of linear state-space models of dynamica...
The availability of accurate models for helicopter aeromechanics is becoming more and more important...
This paper is concerned with the use of system identification and parameter estimation techniques in...
This paper investigates the problem of helicopter dynamic modelling using time-domain system identif...
Because most multivariable control methods are model-based, and the dynamic model for a particular s...
Subspace identification is a powerful tool due to its well-understood techniques based on linear alg...
The problem of rotorcraft system identification is considered and a novel, two-step technique is pro...
In this paper, the optimized predictor-based subspace identification (PBSIDopt) method is applied to...
Accurate dynamic modeling of helicopter aeromechanics is becoming increasingly important, as progres...
The problem of rotorcraft system identification is considered and a novel, two step technique is pro...
Accurate linear helicopter models are needed for control System development and simulation and can b...
Accurate linear helicopter models are needed for control system development and simulation and can b...
This paper is concerned with the development of methods for the validation of complex non-linear mod...
The unmanned helicopter Skeldar relies on model based control to per form its tasks. System identif...
The civil light helicopter domain has not fully benefited yet from the advantages system identificat...
This paper introduces a new approach for the identification of linear state-space models of dynamica...
The availability of accurate models for helicopter aeromechanics is becoming more and more important...
This paper is concerned with the use of system identification and parameter estimation techniques in...
This paper investigates the problem of helicopter dynamic modelling using time-domain system identif...
Because most multivariable control methods are model-based, and the dynamic model for a particular s...
Subspace identification is a powerful tool due to its well-understood techniques based on linear alg...
The problem of rotorcraft system identification is considered and a novel, two-step technique is pro...
In this paper, the optimized predictor-based subspace identification (PBSIDopt) method is applied to...
Accurate dynamic modeling of helicopter aeromechanics is becoming increasingly important, as progres...
The problem of rotorcraft system identification is considered and a novel, two step technique is pro...
Accurate linear helicopter models are needed for control System development and simulation and can b...
Accurate linear helicopter models are needed for control system development and simulation and can b...
This paper is concerned with the development of methods for the validation of complex non-linear mod...
The unmanned helicopter Skeldar relies on model based control to per form its tasks. System identif...
The civil light helicopter domain has not fully benefited yet from the advantages system identificat...
This paper introduces a new approach for the identification of linear state-space models of dynamica...
The availability of accurate models for helicopter aeromechanics is becoming more and more important...
This paper is concerned with the use of system identification and parameter estimation techniques in...