MP criterion based multiloop PID controllers tuning for desired closed loop responses

2003 ◽  
Vol 20 (1) ◽  
pp. 8-13 ◽  
Author(s):  
Dong-Yup Lee ◽  
Moonyong Lee ◽  
Yongho Lee ◽  
Sunwon Park
Keyword(s):  
Closed Loop ◽  
Pid Controllers

scholarly journals Enhanced performance of PID load frequency controller for power systems

2019 ◽  
Vol 8 (2) ◽  
pp. 117
Author(s):  
Dola Gobinda Padhan ◽  
Suresh Kumar Tummala
Keyword(s):  
Power Systems ◽  
Closed Loop ◽  
Control Structure ◽  
Sensitivity Function ◽  
Tuning Parameter ◽  
Pid Controllers ◽  
Small Step ◽  
Load Frequency ◽  
Simulation Results ◽  
Frequency Controller

<p>A novel control structure for designing a PID load frequency controller for power systems is presented. The controller with a single tuning parameter is designed based on a desired closed-loop complementary sensitivity function and Pade approximation. Comparative analysis demonstrates that proposed PID controllers improves the settling time and reduces overshoot effectively against small step load disturbances. Also, the performance and robustness of the controllers have been analyzed and compared. Simulation results show significantly improved performances when compared with recent results.</p>

scholarly journals PID Controllers Design within the Context of Online Educational Activities

2021 ◽  
Vol 18 (1) ◽  
pp. 16-21
Author(s):  
Mircea Dulău ◽  
Delia Bianca Sasu
Keyword(s):  
Control Systems ◽  
Closed Loop ◽  
Pid Controllers ◽  
Closed Loop Control ◽  
Educational Activities ◽  
Loop Control

Abstract The problem of designing conventional controllers is a major concern in both academia and industry. The paper presents the implementation of a Matlab interface that facilitates the students’ understanding of the closed-loop control systems operation. There are four operating scenarios: with controllers for which the parameters are known; with controllers for which parameters are determined experimentally; with proportional controllers and additional poles/zeros introduction; with proportional controllers and serial compensator.

A Study of Turbine Engine PID Control Method Based on Closed-Loop Gain Shaping Algorithm

2012 ◽  
Vol 468-471 ◽  
pp. 143-146
Author(s):  
Jie Tang Zhu ◽  
Shi Ying Zhang ◽  
Jiao Chen ◽  
Lei Luo ◽  
Peng Gao
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Closed Loop ◽  
Control Method ◽  
Narrow Range ◽  
Pid Controllers ◽  
Loop Gain ◽  
Turbine Engine ◽  
Engine Control System ◽  
Series Type

This paper aims at the application of closed-loop gain shaping algorithm in turbine engine PID control. It introduces calculation examples, showing how to build a PID controller through parameters with physical significances; it also establishes mathematic models of turbine engine and fuel supply system, in order to test the performances of the PID controller, based on the comparison between PID controllers of series type and closed-loop gain shaping. Simultaneously, simulations are conducted using Matlab. The Simulations indicate no overshoot, proper control time as well as a narrow range of amplitude of oscillation. Therefore, the study succeeds in proving that the closed-loop gain shaping PID controller has excellent performance and good robustness, which is particularly useful for turbine engine control system.

scholarly journals Nonlinear MIMO Control of a Continuous Cooling Crystallizer

2012 ◽  
Vol 2012 ◽  
pp. 1-11
Author(s):  
Pedro Alberto Quintana-Hernández ◽  
Raúl Ocampo-Pérez ◽  
Salvador Tututi-Avila ◽  
Salvador Hernández-Castro
Keyword(s):  
Pid Controller ◽  
Closed Loop ◽  
Crystal Size ◽  
Operating Conditions ◽  
Pid Controllers ◽  
Absolute Value ◽  
The Third ◽  
Operation Conditions ◽  
Metastable Zone ◽  
Third Moment

In this work, a feedback control algorithm was developed based on geometric control theory. A nonisothermal seeded continuous crystallizer model was used to test the algorithm. The control objectives were the stabilization of the third moment of the crystal size distribution (μ3) and the crystallizer temperature (T); the manipulated variables were the stirring rate and the coolant flow rate. The nonlinear control (NLC) was tested at operating conditions established within the metastable zone. Step changes of magnitudes ±0.0015 and ±0.5°C were introduced into the set point values of the third moment and crystallizer temperature, respectively. In addition, a step change of ±1°C was introduced as a disturbance in the feeding temperature. Closed-loop stability was analyzed by calculating the eigenvalues of the internal dynamics. The system presented a stable dynamic behavior when the operation conditions maintain the crystallizer concentration within the metastable zone. Closed-loop simulations with the NLC were compared with simulations that used a classic PID controller. The PID controllers were tuned by minimizing the integral of the absolute value of the error (IAE) criterion. The results showed that the NLC provided a suitable option for continuous crystallization control. For all analyzed cases, the IAEs obtained with NLC were smaller than those obtained with the PID controller.

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