Title :
PID controller design based on FBR and two-degree-of-freedom optimal servomechanism
Author :
Ochi, Yoshimasa ; Tasaki, Katsuyuki
Author_Institution :
Dept. of Aerosp. Eng., Nat. Defense Acad., Yokosuka, Japan
Abstract :
The authors proposed a design method of a PID controller based on plant model reduction by fractional balanced reduction and integral-type optimal servomechanism (IOS), which was synthesized using the method proposed by Smith and Davison. In the IOS synthesis, the variables included in the cost function for controller design are not the plant inputs and outputs themselves but their first and second-order derivatives. Although the derivatives are given the physical meaning as frequency-weighted variables, the magnitude of the inputs and outputs is not evaluated in the control design. Another problem arises when the integral of the control error is included in the augmented state variables and hence in the cost function, i.e., the problem of indefiniteness of the steady-state value of the integral. Those inconveniences were resolved by the two-degree-of-freedom type optimal servo-system (2DOF-IOS). In this paper, the 2DOF-type IOS has been employed instead of the Smith-Davison type IOS to design a PID controller and then the resulting controller has been applied to flight control of the lateral-directional motion of the F-16.
Keywords :
MIMO systems; control system synthesis; optimal control; reduced order systems; servomechanisms; three-term control; 2DOF-IOS; FBR; IOS synthesis; PID controller design; Smith-Davison type IOS; augmented state variables; control error; cost function; design method; first-order derivatives; flight control; fractional balanced reduction; frequency-weighted variables; integral-type optimal servomechanism; lateral-directional motion; plant inputs; plant model reduction; plant outputs; second-order derivatives; steady-state value; two-degree-of-freedom optimal servomechanism; two-degree-of-freedom type optimal servo-system; Aerospace control; Control systems; Cost function; Design methodology; Reduced order systems; Stability analysis; Vectors; MIMO systems; PID control; linear quadratic regulator; model reduction;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1