Reliable decentralized integral-action controller design for multi-channel systems

Author(s):  
A.N. Gundes
2001 ◽  
Vol 46 (2) ◽  
pp. 296-301 ◽  
Author(s):  
A.N. Gundes ◽  
M.G. Kabuli

2002 ◽  
Vol 47 (12) ◽  
pp. 2084-2088 ◽  
Author(s):  
A.N. Gundes ◽  
A.B. Ozguler

2021 ◽  
pp. 002029402198975
Author(s):  
Igor Bélai ◽  
Mikulas Huba ◽  
Damir Vrancic

This paper compares three different position controllers of electrical drives equipped by binomial [Formula: see text] th order filters, which are offering filtering properties important in a quantization noise attenuation. To demonstrate their impact, a non-filtered P-PI control is considered, as a reference. The comparative framework includes a filtered P-PI control, a filtered linear pole assignment PD controllers with a disturbance observer (DO) based integral action and its constrained modification. In terms of a total variation, depending on noise and process properties, all filtered controllers are capable to bring down the undue controller activity at the plant input from 10 to more than 100 times. Furthermore, thanks to the applied disturbance observer, the constrained control derived for a double integrator is shown to fully exploit the closed loop capabilities without any trajectory generation, taking into account the control constraints. Thus, the simplified controller design may focus on other important aspects.


2018 ◽  
Vol 22 (Suppl. 5) ◽  
pp. 1337-1348
Author(s):  
Milan Ristanovic ◽  
Goran Petrovic ◽  
Zarko Cojbasic ◽  
Maja Todorovic

In this paper a radiator heating system of a building is considered. For the purpose of the heating system optimization, a mathematical model of the system is developed. The linear quadratic algorithm with integral action is proposed and analyzed. This solution has proven to be expensive. Further analysis of the model is done and a reduction of the order of the system is proposed. An inverse-based controller design approach for minimum-phase first order system is used to provide realizable controller in the form of proportional integral controller. Optimal parameters of the control algorithm parameters have been chosen by integral of time absolute error criterion, and also by metaheuristic optimization. According to the real heating demand, a simulation of the plant is performed. Proposed controllers were tested by numerical simulation for a typical winter day for geographical region of the building. It is shown that advanced performance can be achieved with optimized control systems, and that by controller optimization a significant reduction of the energy consumption is obtained without losing the in-door comfort. This has also proved to be more economical solution.


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