A Hybrid Genetic-Fuzzy Controller for a 14-Inch Astronomical Telescope Tracking

Abstract

The performance of on telescope depend strongly on its operating conditions. During pointing, the telescope can move at a relatively high velocity, and the system can tolerate trajectory position errors higher than during tracking. On the contrary, during tracking, Alt-Az telescopes generally move slower but still in a large dynamic range. In this case, the position errors must be as close to zero as possible. Tracking is one of the essential factors that affects the quality of astronomical observations. In this paper, a hybrid Genetic-Fuzzy approach to control the movement of a two-link direct-drive Celestron telescope is introduced. The proposed controller uses the Genetic algorithm (GA) for optimizing a fuzzy logic controller (FLC) to improve the tracking of the 14-inch Celestron telescope of the Kottamia Astronomical Observatory (KAO). The fuzzy logic input is a vector of the position error and its rate of change, and the output is a torque. The GA objective function used here is the Integral Time Absolute Error (ITAE). The proposed method is compared with a conventional Proportional-Differential (PD) controller, an optimized PD controller with a GA, and a Fuzzy controller. The results show the effectiveness of the proposed controller to improve the dynamic response of the overall system.

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“…The Fuzzy Logic Controller (FLC) method was also used because it can handle the uncertainty and variability inherent in many real world situations. FLC is able to process uncertain information and convert it into actions that correspond to different levels of data distribution [19]. In addition, the prototype data will be tested using the Unified Theory of Acceptance and Use of Technology (UTAUT) model to test the relationship between the constructs that have been designed.…”