dc.contributor.author | Das, S | |
dc.contributor.author | Halder, K | |
dc.date.accessioned | 2018-01-19T14:58:14Z | |
dc.date.issued | 2014-05-01 | |
dc.description.abstract | This paper proposes a new strategy for missile attitude control using a hybridization of Linear Quadratic Gaussian (LQG), Loop Transfer Recovery (LTR), and Linear Quadratic Integral (LQI) control techniques. The LQG control design is carried out in two steps i.e. firstly applying Kalman filter for state estimation in noisy environment and then using the estimated states for an optimal state feedback control via Linear Quadratic Regulator (LQR). As further steps of performance improvement of the missile attitude control system, the LTR and LQI schemes are applied to increase the stability margins and guarantee set-point tracking performance respectively, while also preserving the optimality of the LQG. The weighting matrix (Q) and weighting factor (R) of LQG and the LTR fictitious noise coefficient (q) are tuned using Nelder-Mead Simplex optimization technique to make the closed-loop system act faster. Simulations are given to illustrate the validity of the proposed technique. | en_GB |
dc.identifier.citation | 2014 First International Conference on Automation, Control, Energy and Systems (ACES), Hooghy, India, 1-2 February 2014 | en_GB |
dc.identifier.doi | 10.1109/ACES.2014.6807996 | |
dc.identifier.uri | http://hdl.handle.net/10871/31101 | |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_GB |
dc.rights | © 2014 IEEE | en_GB |
dc.subject | Missiles | en_GB |
dc.subject | Noise | en_GB |
dc.subject | Kalman filters | en_GB |
dc.subject | Optimization | en_GB |
dc.subject | Covariance matrices | en_GB |
dc.subject | Noise measurement | en_GB |
dc.subject | Attitude control | en_GB |
dc.title | Missile Attitude Control via a Hybrid LQG-LTR-LQI Control Scheme with Optimum Weight Selection | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-01-19T14:58:14Z | |
dc.description | This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record. | en_GB |