2020
DOI: 10.15632/jtam-pl/122205
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Modified linear-quadratic regulator used for controlling anti-tank guided missile in vertical plane

Abstract: The paper concerns the issue of optimum control of the strongly non-linear dynamic system, i.e. Anti-Tank Guided Missile (ATGM). The linear-quadratic regulator (LQR) was used to provide control capabilities. In order to use the classic LQR, the dynamics of the object must be presented in the form of a linear-stationary model. This is not possible in the case of the considered missile, mostly due to mass changing in time (intensive consumption of fuel) and varying aerodynamic conditions depending on the Mach nu… Show more

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Cited by 5 publications
(5 citation statements)
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“…where Q ∈ R n×n and R ∈ R k×k are symmetric, positive (semi-positive) definite matrices of weighting parameters for the state vector x ∈ R n×1 and the control vector u ∈ R k×1 , respectively. In general, there are no unified methods of selecting the Q and R entries; however, several approaches can be found in the literature [21,[27][28][29][30][31][32][33][34][35][36], usually based on modified (e.g., time-varying) Bryson principle or "trial and error" methods. The main problem connecting all of these is the need to define the values of Q and R to find the solution of the feedback gain matrix K. In this study, determining the entry values of matrix Q is not necessary.…”
Section: Problem Formulationmentioning
confidence: 99%
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“…where Q ∈ R n×n and R ∈ R k×k are symmetric, positive (semi-positive) definite matrices of weighting parameters for the state vector x ∈ R n×1 and the control vector u ∈ R k×1 , respectively. In general, there are no unified methods of selecting the Q and R entries; however, several approaches can be found in the literature [21,[27][28][29][30][31][32][33][34][35][36], usually based on modified (e.g., time-varying) Bryson principle or "trial and error" methods. The main problem connecting all of these is the need to define the values of Q and R to find the solution of the feedback gain matrix K. In this study, determining the entry values of matrix Q is not necessary.…”
Section: Problem Formulationmentioning
confidence: 99%
“…The field of linear systems has been declared many times to be exploited and obsolete from a research point of view, but interest has repeatedly been renewed due to new viewpoints and the introduction of new theories [9,10]. Recently, an interest in linear adaptive control in missile and space technology can be observed, where adaptive-tuned PID [11][12][13][14], FPID [11,[15][16][17] and linear-quadratic regulator (LQR) [18][19][20][21][22][23][24][25] controllers are widely proposed.…”
Section: Introductionmentioning
confidence: 99%
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“…Relatively few scholars at home and abroad have studied piston manometer balancing control methods, but for quadrotors [4,5], inverted pendulums [6][7][8], balancing vehicles [9,10], permanent-magnet synchronous motors [11,12], and other such similar balancing systems, there are many modern control algorithms currently applied, such as proportional-integralderivative (PID) control [13][14][15], linear quadratic regulator control (LQR) [16,17], robust control [18,19], fuzzy control [20][21][22][23], adaptive control [24,25], sliding mode control [26][27][28], etc. Theoretically, the control methods applied to these equilibrium systems can also be applied to piston manometers.…”
Section: Introductionmentioning
confidence: 99%
“…Te efective range of an unguided, man-portable, antiarmor weapon such as rocket-propelled grenades is generally within 500 m. Although these devices are inexpensive to build, they have a small efective range with accuracies that decrease signifcantly over distance. In comparison, manportable antitank missiles, such as the "Javelin" missile of the United States, can strike fxed or moving targets within 2000 m with high precision using infrared imaging guides and four movable rudder blades [1]. However, because of its high cost, this type of weapon is only suitable to attack highvalue targets.…”
Section: Introductionmentioning
confidence: 99%