Missile Attitude Control via a Hybrid LQG-LTR-LQI Control Scheme with Optimum Weight Selection

TL;DR

This paper introduces a hybrid missile attitude control scheme combining LQG, LTR, and LQI techniques, optimized via Nelder-Mead to enhance stability and tracking performance in noisy environments.

Contribution

It presents a novel hybrid control approach with optimized weight selection for improved missile attitude control performance.

Findings

Enhanced stability margins demonstrated in simulations

Improved set-point tracking accuracy

Faster response achieved through optimized weighting

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.