Title: Frequency-domain identification of a small-scale unmanned helicopter with harmony search algorithm
Authors: Jiali Yang; Guanlin Wang; Jihong Zhu
Addresses: Department of Computer Science and Technology, Tsinghua University, Haidian District, Beijing City 100084, China ' Department of Computer Science and Technology, Tsinghua University, Haidian District, Beijing City 100084, China ' Department of Computer Science and Technology, Tsinghua University, Haidian District, Beijing City 100084, China
Abstract: This paper presents a new method to identify the model of a small-scale helicopter in frequency domain using harmony search (HS) algorithm. The dynamics of the small-scale helicopter are simplified to four single-input/single-output (SISO) linear subsystems near the hover point, and the HS optimisation algorithm is used to identify each subsystem's parameters. Time-domain verification is made to check the validity of the identified models. The verification results show that the identified models are accurate and effective enough to describe the dynamics of the helicopter. The identified models show that the dynamics of the roll, pitch and yaw channels are mainly dominated by the lightly damped second-order modes. Identification and verification results show that the application of HS algorithm in system identification is suitable and useful.
Keywords: helicopter identification; harmony search; frequency domain identification; unmanned helicopters; small-scale helicopters; model identification; modelling; helicopter dynamics; optimisation; roll; pitch; yaw; system identification.
International Journal of Computer Applications in Technology, 2014 Vol.49 No.2, pp.141 - 149
Available online: 18 Apr 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article