Chapter

Neural Information Processing

Volume 4234 of the series Lecture Notes in Computer Science pp 654-663

Hybrid Intelligent PID Control for MIMO System

  • Jih-Gau JuangAffiliated withCarnegie Mellon UniversityDepartment of Communications and Guidance Engineering, National Taiwan Ocean University
  • , Kai-Ti TuAffiliated withCarnegie Mellon UniversityDepartment of Communications and Guidance Engineering, National Taiwan Ocean University
  • , Wen-Kai LiuAffiliated withCarnegie Mellon UniversityDepartment of Communications and Guidance Engineering, National Taiwan Ocean University

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Abstract

This paper presents a new approach using switching grey prediction PID controller to an experimental propeller setup which is called the twin rotor multi-input multi-output system (TRMS). The goal of this study is to stabilize the TRMS in significant cross coupling condition and to experiment with set-point control and trajectory tracking. The proposed scheme enhances the grey prediction method of difference equation, which is a single variable second order grey model (DGM(2,1) model). It is performed by real-value genetic algorithm (RGA) with system performance index as fitness function. We apply the integral of time multiplied by the square error criterion (ITSE) to form a suitable fitness function in RGA. Simulation results show that the proposed design can successfully adapt system nonlinearity and complex coupling condition.