The stabilization, tracking and pointing systems are essential features of modern fire control and surveillance systems. The criteria for precision stabilization may vary from a few hundred micro-radians to few nano-radians for achieving jitter free image depending upon the application scenario. The Line of sight (LOS) is stabilized by mounting the optical payload on a gimbal platform and designing the control system around them. The paper describes a choquet fuzzy integral based control algorithm developed for LOS controlling and stabilizing application. In this approach, q-measure is estimated to simplify the computation of λ-measure that aggregates the information from the weighted inputs. The output of fuzzy rules, which are formulated by defining the product of weighted inputs are required to compute the fuzzy measure in the form of Choquet fuzzy integral.
The design, operation and control of stabilizationtracking systems has been a challenging task for the scientists and engineers with the present day requirements of modern aged sophistication of these systems. The conventional control concepts have been outplayed by the optimal control techniques with the evolution of the modern control theory. Moreover, due to the problems associated with modern control techniques have motivated the engineers to apply intelligent technique to circumvent these difficulties. An attempt has been made to design and feasibility of an adaptive Particle Swarm Optimization (PSO) based fuzzy logic controller for stabilization-tracking system. The simulation results obtained in the study demonstrate the feasibility of the designed controllers.
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