Title : 
Hardware Implementation of a Hybrid Intelligent Controller for a Twin Rotor MIMO
         
        
            Author : 
Juang, Jih-Gau ; Liu, Wen-Kai
         
        
            Author_Institution : 
Dept. of Commun. & Guidance Eng., Nat. Taiwan Ocean Univ., Keelung
         
        
        
        
        
        
            Abstract : 
This paper utilizes a fuzzy PID control scheme with a real-valued genetic algorithm (RGA) to a setpoint control problem. The objective of this paper is to control a twin rotor MIMO system (TRMS) to move quickly and accurately to the desired attitudes, both the pitch angle and the azimuth angle in cross-coupled condition. A fuzzy compensator is applied to the PID controller. In order to reduce total error and control energy, all parameters of the controller are obtained by a RGA with system performance index as fitness function. For real-time control, Xilinx Spartan II SP200 FPGA (field programmable gate array) is employed to construct a hardware-in-the-loop system through coding VHDL on this FPGA.
         
        
            Keywords : 
MIMO systems; aerospace components; aircraft control; avionics; controllers; field programmable gate arrays; fuzzy control; genetic algorithms; helicopters; intelligent control; rotors; three-term control; VHDL; Xilinx Spartan IISP200 FPGA; field programmable gate array; fitness function; fuzzy PID control scheme; fuzzy compensator; hardware-in-the-loop system; hybrid intelligent controller; real-time control; real-valued genetic algorithm; setpoint control problem; system performance index; twin rotor MIMO system; Attitude control; Control systems; Field programmable gate arrays; Fuzzy control; Fuzzy sets; Genetic algorithms; Hardware; MIMO; Three-term control; Transmission line measurements;
         
        
        
        
            Conference_Titel : 
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
         
        
            Conference_Location : 
Dalian, Liaoning
         
        
            Print_ISBN : 
978-0-7695-3161-8
         
        
            Electronic_ISBN : 
978-0-7695-3161-8
         
        
        
            DOI : 
10.1109/ICICIC.2008.301