Fuzzy Logic-Based Self-Tuning PID Controllers Using Parameters Adaptive Method for Stabilization of a Two-Axis Seeker Gimbal

Abstract

In guided missiles, the major function of a seeker is to track a target continuously. In target tracking process most seekers employ a gimbal system, usually a two-axis, on which a tracking device and a rate gyroscope are mounted. For such guided missiles, the stabilization of gimbal is essential for maintaining the tracking device directing towards the target. Various control methods have been developed for the gimbal stabilization to make the gimbal to respond faster for a rate command input so that the gimbal follows the rate input in the presence of disturbances. Here, a fuzzy self-tuning proportional, integral, derivative (PID) type controller based on parameters adaptive method is proposed for two-axis gimbal stabilization which can be applicable for most guided missiles. The controller gains in the proposed control technique are made of input and output scaling factors used in fuzzification and defuzzification processes. The scaling factors are tuned online based on the missile rotation rate and the gimbal rate response. The response of the gimbal in the stabilization loop with the proposed controller has been analyzed in MATLAB for various missile rotation rates and the simulation results are compared with a traditional PID controller. The results prove the efficiency of the proposed control method which gives a better and faster response with zero steady-state error than the traditional control method.

Keywords:

• Adaptive fuzzy
• Fuzzy PID
• Parameter adaptive method
• Self-tuning fuzzy
• Stabilization loop
• Two-axis gimbal

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

S. Senthil Kumar

S Senthil Kumar received the BE degree in computer science from the College of Engineering Guindy, Chennai, India, in 2005, the ME degree in avionics from Madras Institute of Technology, Chennai, India, in 2007, and pursuing his PhD degree in aerospace engineering Department, Madras Institute of Technology, Chennai, India. From September 2007 to December 2009, he was a design engineer with Data Patterns (India) Private Limited, Chennai, India. From 2010 to 2012, he was an assistant professor with Hindustan Institute of Technology and Science, Chennai, India. In June 2012, he joined the Kumaraguru College of Technology, Coimbatore, India, where he is currently an assistant professor. His research interests are in the mathematical modeling and design of controllers for unmanned aerial vehicles.

G. Anitha

G Anitha received the BE degree in electrical and electronics from ACCET, Karaikudi, India, the MTech degree in control and instrumentation from Indian Institute of Technology Madras, Chennai, India, and PhD degree in Avionics from Madras Institute of Technology, Chennai, India. She is working with the Division of Avionics, Department of Aerospace Engineering, Madras Institute of Technology, Anna University, Chennai, India. Her research areas of interest are in avionics, aircraft navigation, guidance and control, and image processing. Email: [email protected]