Session: 07-02-02: Nonlinear Dynamics, Control, and Stochastic Mechanics

Paper Number: 146791

146791 - Controlling the Position of a Stepper Motor Using Conventional Control Approach Embedded in a Plc 

In this paper, a non-conventional control strategy is integrated with a Programmable Logic Controller (PLC) for the precise position control of an integrated stepper motor. Special function modules were used to generate the pulses and to read the encoder signal from the motor. IEC 61131-3 programming code was incorporated in the form of ladder logic diagram, function blocks, and structured text. This research focuses on the control of position and speed of the motor, leveraging the capabilities of control strategies embedded within a PLC. Proportional Integral Derivative (PID) which is one of the traditional control strategies used in industrial automation processes is implemented within PLC next engineer. This research integrates control strategy into PLC platforms to achieve superior control accuracy. The study uses a combination of simulation, experimentation, and real-world application to validate the proposed approach's effectiveness. The inbuilt PID block within PLC was implemented and later a Proportional Derivative (PD) controller developed and compiled in Simulink was integrated with PLC. The study shows that importance of sampling time and micro stepping in achieving precise positioning. The findings demonstrate that there was successful integration of Simulink with PLC for implementing control strategies. Detailed analyses of motor position and speed under varying conditions highlight the system's adaptability and responsiveness. PD control approach showed effective results in controlling the position by minimizing the overshoot. This research concludes that the integration of Simulink with PLCs offers a robust solution for achieving precise and dynamic control over motor position.

Presenting Author: Ma'moun Abu-Ayyad Penn State Harrisburg

Presenting Author Biography: Ph.D. in Mechanical Engineering from the University of New Brunswick (UNB)-Canada. Post Doctoral Fellow in the Advanced Manufacturing Laboratory at UNB for two years to develop advanced predictive controllers for industrial systems. Dr. Abu-Ayyad joined the department of mechanical engineering at Pennsylvania State University-Harrisburg as an assistant professor in August 2008. Coinventor of “Multi-Dimensional Nonlinear Controller” patent in 2009. Dr. Abu-Ayyad research includes modeling of nonlinear processes, predictive control, mechatronics, biomedical applications, and advanced system identification techniques. Received the School of Science and Engineering Excellence Teaching Award in 2017. Supervised more than 20 Master students, 60 industrial capstone projects and received more than $400K in research grants. Strong collaborative relationship with industry in central south Pennsylvania-USA. Currently, Dr. Abu-Ayyad is a visiting scholar in radiation oncology - school of medicine at John Hopkins University. The main project of this visit is to build a mechatronic setup for a model predictive control algorithm for controlling the temperature of tumor tissues using a magnetic nanoparticles hyperthermia treatment.

Authors:

Anshul Jaswal Penn State Harrisburg
Ma'moun Abu-Ayyad Penn State Harrisburg
Yash Lad Penn State Harrisburg
Anilchandra Attaluri Penn State Harrisburg