A genetic algorithm based lookup table approach for optimal stepping sequence of open-loop stepper motor systems

• Published in: Journal of control theory and applications 2013-02, Vol.11 (1), p.35-41
• Main Authors: Banihani, Suleiman, Al-Widyan, Khalid, Al-Jarrah, Ahmad, Ababneh, Mohammad
• Format: Article
• Language: English
• Subjects: Complexity; Computational Intelligence; Control; Control and Systems Theory; Dynamical systems; Dynamics; Engineering; Genetic algorithms; Lookup tables; Mechatronics; Motors; Optimization; Robotics; Steppers; Systems Theory; Vibration; 工业应用; 开环系统; 查找表; 步进电机; 残余振动; 速度性能; 遗传算法; 驱动系统
• ISSN: 1672-6340; 1993-0623
• DOI: 10.1007/s11768-013-1165-4

Stepper motor driven systems are widely used in industrial applications. They are mainly used for their low cost open-loop high performance. However, as dynamic systems need to be increasingly faster and their motion more precise, it is important to have an open-loop system which is accurate and reliable. In this paper, we present a novel technique in which a genetic algorithm （GA） based lookup table approach is used to find the optimal stepping sequence of an open-loop stepper motor system. The optimal sequence objective is to minimize residual vibration and to accurately follow trajectory. A genetic algorithm is used to find the best stepping sequence which minimizes the error and improves the system performance. Numerical simulation has showed the effectiveness of our approach to improve the system performance for both position and velocity. The optimized system reduced the residual vibration and was able to follow the trajectory with minimal error.