Comparative Study Among Different Control Techniques For Stabilized Platform | ||||
| Journal of Engineering Science and Military Technologies | ||||
| Article 6, Volume 2, Issue 1, January 2018, Page 44-48 PDF (575.96 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ejmtc.2017.409.1005 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Ahmed Gamal Mostafa Habashy; Mahmoud Mohamed Ashry  ; Mohamed Hussien Mabrouk; Gamal Ahmed Ahmed elnashar
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| Military Technical College | ||||
| Abstract | ||||
| The controlling of the Line of Sight (LOS) for inertially stabilization platform system, which is subjected to uncertainty, is considered as a challenging problem where the mission capabilities of stabilized platform depend on its performance improvement. The work presented in this paper is based on performance comparative study among five different types of controllers designed to attain an improved accuracy and a reduced stabilized error for controlling the line of sight stabilization system. The designed controllers for the case study are Proportional-Integral (PI) controller tuned classically, genetically tuned PI controller, Linear Quadratic Regulator (LQR) controller, Linear Quadratic Gaussian (LQG) controller, and H∞ controller. The controllers’ ability of disturbance rejection as well as their ability to attenuate the outer noise are compered. The simulations results show the remarkably improved pointing accuracy for the case study under the presence of both outer disturbances, induced by vehicle running, and measuring noise which is derived from feedback sensors. | ||||
| Keywords | ||||
| Classical proportional-integral (PI) controller; disturbance rejection; genetically tuned pi controller; h∞ controller; Linear Quadratic Regulator (LQR) controller; linear quadratic gaussian (LQG) controller; noise attenuation | ||||
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