Model-Based Approach with PID Controllers

Author(s):  
Thivaharan Albin Rajasingham
Keyword(s):  
2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Xiaoli Luan ◽  
Qiang Chen ◽  
Pedro Albertos ◽  
Fei Liu

The aim of this paper is to determine the stabilizing PID parametric region for multivariable systems. Firstly, a general equivalent transfer function parameterization method is proposed to construct the multiloop equivalent process for multivariable systems. Then, based on the equivalent single loops, a model-based method is presented to derive the stabilizing PID parametric region by using the generalized Hermite-Biehler theorem. By sweeping over the entire ranges of feasible proportional gains and determining the stabilizing regions in the space of integral and derivative gains, the complete set of stabilizing PID controllers can be determined. The robustness of the design procedure against the approximation in getting the SISO plants is analyzed. Finally, simulation of a practical model is carried out to illustrate the effectiveness of the proposed technique.


Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 939
Author(s):  
Kyoung-Min Choo ◽  
Chung-Yuen Won

In this paper, a model-based tuning method for a PID controller of excitation systems based on a simplified model that considers measurement delay is proposed. The conventional model-based tuning method, which has been studied previously, uses a simplified excitation system model that ignores all the delay components. However, since the rms voltage measurement can take hundreds of milliseconds to calculate depending on the system settings, this delay cannot be ignored when the required response needs to be as fast as the measurement delay. Furthermore, the linearity of the measurement method is not taken into account because the measurement delay has already been ignored. Therefore, in this paper, a simplified model that considers measurement delay and its linearity is proposed, and a model-based tuning method of PID controllers for two kinds of excitation systems is proposed and compared with the conventional method by analysis. To verify the analysis and proposed tuning method, experiments are conducted for both excitation systems.


1996 ◽  
Vol 29 (1) ◽  
pp. 5929-5934
Author(s):  
Raymond A. Wright ◽  
Costas Kravaris
Keyword(s):  

AIChE Journal ◽  
1996 ◽  
Vol 42 (9) ◽  
pp. 2687-2691 ◽  
Author(s):  
Hsiao-Ping Huang ◽  
Cheng-Liang Chen ◽  
Chi-Wei Lai ◽  
Gow-Bin Wang
Keyword(s):  

Robotica ◽  
2011 ◽  
Vol 29 (6) ◽  
pp. 929-938 ◽  
Author(s):  
S. F. Toha ◽  
M. O. Tokhi

SUMMARYThe use of active control techniques has intensified in various control applications, particularly in the field of aircraft systems. This paper presents an investigation into the control of rigid-body and flexible motion of a twin rotor multi-input multi-output system (TRMS) using intelligent inverse-model-based control schemes. The TRMS is an aerodynamic test rig representing the control challenges of modern air vehicle. The augmented feedback PID and feedforward inverse-model-based control has led to good tracking response and vibration reduction of the TRMS, with the use of particle swarm optimisation (PSO). As a comparison, methods using PID controllers are also presented. Experimental results are obtained using the test rig, confirming the viability and effectiveness of the proposed methodology as opposed to conventional PID controllers. The results and evidence from this method are justified, presented and discussed.


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