Measurement: Sensors (Apr 2023)
A new thrust vector-controlled rocket based on JOA using MCDA
Abstract
A thrust vector-controlled rocket model consists of army science board model responsible for computing the angles of the gravity center with a directivity of trajectory positions (x, z). A thrust vector-controlled rocket model is known to be #TVCASB for fall trajectory correction solving, but the falling issue of the trajectory correction is a hard when restricted to ASB model. In this work, we study TVCASB model, a mathematical model of TVCASB calculating which involves ASB variables in addition to position variables, and refer to this question: Why falling issue of the trajectory and correction of TVC is a hard on ASB model? Depend on MCDM results from JOA cases, we show that four MCDM methods can choose the better case for a two pieces of fractional order proportional integral derivative controller when set tuning process for TVC model on ASB with a suitable falling of trajectory correction whether be limited or specified for a high or low distance for the rocket motion. Our multi criteria decision making methods are based on mathematical calculations via three cases were proposed by JOA for rocket parameter estimation with a behavior of it, and in the following MCDM methods involving, MCDM normalization, MCDM WSM and WPM, MCDM VIKOR, are gave case 3 lower and upper bounds (0–100) is specified for a high distance and MCDM TOPSIS is gave case one lower and upper bounds (0–1) is limited for a lower distance, and pose this question: Why the MCDM methods are gave different results of JOA cases for TVCASB model? and which one between cases is better? The first reason, there is a different in mathematical calculation for weights assign. The second reason, three mentioned above methods are used for a high and specified distance for fall trajectory correct and MCDM TOPSIS is used for a limited distance, the better case between cases depends on our need whether a high (specified) or a limited (lower) distance.
