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

TL;DR

This paper introduces a hybrid Genetic-Fuzzy controller for a 14-inch astronomical telescope that optimizes tracking accuracy by combining genetic algorithms with fuzzy logic, outperforming traditional control methods.

Contribution

It presents a novel hybrid Genetic-Fuzzy control approach specifically designed for telescope tracking, optimizing fuzzy controller parameters with a genetic algorithm for improved performance.

Findings

The hybrid controller significantly reduces tracking errors.

It outperforms conventional PD and fuzzy controllers in dynamic response.

The method enhances telescope tracking accuracy at Kottamia Observatory.

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 affect 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-inches 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 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.