Using Controller Reduction Techniques for Efficient PID Controller Synthesis

2004 ◽  
Vol 126 (3) ◽  
pp. 692-696 ◽  
Author(s):  
Ukpai I. Ukpai ◽  
Suhada Jayasuriya

Balanced reduction relies on the internal balancing of the controllability and observability grammians to eliminate weakly observable and controllable modes. Weighting functions are often used to improve this procedure. Several benefits exist in implementing low-order rather than high-order controllers. It is, therefore, imperative to reduce any errors that result from using the infinite grammians in the controller reduction process. By fixing the structure of the high-order controller and choosing an appropriate frequency interval for the balanced reduction a system that assumes a second-order controller is obtained, forming the basis for an efficient approximation/optimization towards obtaining a robust PID controller. This paper establishes a procedure for choosing the weighting functions.

2005 ◽  
Vol 38 (1) ◽  
pp. 367-372 ◽  
Author(s):  
L.H. Keel ◽  
S.P. Bhattacharyya

Author(s):  
Vladimir Milic ◽  
Srecko Arandia-Kresic ◽  
Mihael Lobrovic

This paper is concerned with the synthesis of proportional–integral–derivative (PID) controller according to the [Formula: see text] optimality criterion for seesaw-cart system. The equations of dynamics are obtained through modelling a seesaw-cart system actuated by direct-current motor via rack and pinion mechanism using the Euler–Lagrange approach. The obtained model is linearised and synthesis of the PID controller for linear model is performed. An algorithm based on the sub-gradient method, the Newton method, the self-adapting backpropagation algorithm and the Adams method is proposed to calculate the PID controller gains. The proposed control strategy is tested and compared with standard linear matrix inequality (LMI)-based method on computer simulations and experimentally on a laboratory model.


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