Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage

  • Yasir Khudhair Abbas Department of Control and Systems Engineering/University of Technology
Keywords: Piezoelectric, Micropositioner, Genetic Algorithms, PID

Abstract

 In this paper, an intelligent tracking control system of both single- and double-axis Piezoelectric Micropositioner stage is designed using Genetic Algorithms (GAs) method for the optimal Proportional-Integral-Derivative (PID) controller tuning parameters. The (GA)-based PID control design approach is a methodology to tune a (PID) controller in an optimal control sense with respect to specified objective function. By using the (GA)-based PID control approach, the high-performance trajectory tracking responses of the Piezoelectric Micropositioner stage can be obtained. The (GA) code was built and the simulation results were obtained using MATLAB environment. The Piezoelectric Micropositioner simulation model with the (GA)-based PID control is illustrated to show the validity of the proposed control method for practical applications, such as scanning microscopy.

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Published
2012-12-31
How to Cite
Abbas, Y. (2012). Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage. Al-Khwarizmi Engineering Journal, 8(4), 40 -52. Retrieved from https://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/146
Section
Articles