Jindong Sha¹ and Jonathan Sahagun², ¹USA, ²California State Polytechnic University, USA

This paper addresses the challenge of designing an automated system for precise motor control, focusing on enhancing accuracy and adaptability in dynamic environments [1]. The project integrates advanced feedback mechanisms with cost-effective sensors and control algorithms to improve system reliability [2]. Two main experiments were conducted: one tested the precision of stepper motors in reaching designated positions, while the other examined the system's response to unexpected input variations. The results indicated that while the system generally performed well, there were areas for improvement, particularly in feedback mechanisms. The paper also compares the project's methodology with other existing approaches, highlighting the balance between precision, adaptability, and cost-effectiveness [3]. Despite certain limitations, the project successfully demonstrates a functional automated system with potential applications in various fields. This solution is particularly relevant for scenarios where cost-effective, reliable automation is required, making it a valuable contribution to the field.

Automated Motor Control, Feedback Mechanisms, Precision and Adaptability, Cost-Effective Sensors