Modified PID controller for avoiding overshoot in temperature of barrel heating system

Anbarasan, M.; Prasad, S. J. Suji; Meenakumari, R.; Balakrishnan, P.

doi:10.1109/icevent.2013.6496531

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…It is reported in [14][15][16] that most of process control applications in industry still use the conventional Proportional-Integral-Derivative (PID) controller to regulate temperature and many other industrial process variables. The key drawbacks of PID control, however, are the undesirable control action that contribute to significant high percent overshoot and longer settling time [17]. In order to reduce these undesirable control effects, the PID control structure has been modified by many researchers, resulting in the Integral-Derivative-Proportional (IDP) [17] and Integral-Proportional-Derivative (IPD) [18,[26][27][28] control structures, which are used in particular applications.…”

Section: Pid Controllermentioning

confidence: 99%

“…The key drawbacks of PID control, however, are the undesirable control action that contribute to significant high percent overshoot and longer settling time [17]. In order to reduce these undesirable control effects, the PID control structure has been modified by many researchers, resulting in the Integral-Derivative-Proportional (IDP) [17] and Integral-Proportional-Derivative (IPD) [18,[26][27][28] control structures, which are used in particular applications.…”

Section: Pid Controllermentioning

confidence: 99%

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Derivative Proportional – Integral Controller Using Nelder-Mead Optimization for Glycerine Purification Heating Process

Janin

Kaidi

Ahmad

et al. 2020

IJIE

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Section: Pid Controllermentioning

confidence: 99%

Section: Pid Controllermentioning

confidence: 99%

Derivative Proportional – Integral Controller Using Nelder-Mead Optimization for Glycerine Purification Heating Process

Janin

Kaidi

Ahmad

et al. 2020

IJIE

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“…Nowadays, there is a considerable amount of power contribution from renewable energy sources like wind and solar to meet our daily needs. With the increase of gridconnected capacity of renewable energy generation year by year, its instability, intermission and uncontrollable have brought serious impact on the stable operation of the power system, such as voltage fluctuation, harmonic pollution, frequency flicker, etc., resulting in the decline of power quality [1][2][3]. For those problems, Electric Spring (ES) system has become a current research hotspot.…”

Section: Introductionmentioning

confidence: 99%

Application of Repetitive Control in Electric Spring

Zhang

2020

IEEE Access

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With the increasing of the grid-connected capacity of renewable energy such as wind energy and solar energy, its instability, intermittence and uncontrollability have a serious impact on the stable operation of power system, such as voltage fluctuation, frequency flicker, etc. Therefore, Electric Spring (ES) system has become a current research hotspot. Aiming at the deficiencies of the resonance control strategy, a control method that combines quasi-proportional resonance (QPR) control and repetitive control is proposed. The quasi proportional resonance control is used to realize the tracking without static error, and the internal model principle of repetitive control is used to suppress the periodic disturbance of the grid voltage, so as to improve the power quality of the grid. Compared with the traditional quasi proportional resonant control, the introduction of repetitive control can effectively improve the steady-state accuracy, reduce the system harmonic and enhance the ability of anti-harmonic interference. The modeling of ES and the design method of repetitive controller parameters are discussed in detail. The simulation model is built using MATLAB / Simulink, and the ES experimental platform is built with dSPACE as the control core, the results verify the feasibility and effectiveness of the proposed control strategy.

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“…Linear feedback controllers or sliding mode controllers (SMCs) have been widely used to solve the tracking problem for MSC [29–33]. However, these approaches may not satisfy the state constraints, including the avoidance of obstacles in the workspace as reported by the authors of [34–36].…”

Section: Introductionmentioning

confidence: 99%

Robust control for master–slave manipulator system avoiding obstacle collision under restricted working space

Cruz-Ortiz

Chaírez

Poznyak

2020

IET Control Theory & Applications

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Modified PID controller for avoiding overshoot in temperature of barrel heating system

Cited by 10 publications

References 11 publications

Derivative Proportional – Integral Controller Using Nelder-Mead Optimization for Glycerine Purification Heating Process

Derivative Proportional – Integral Controller Using Nelder-Mead Optimization for Glycerine Purification Heating Process

Application of Repetitive Control in Electric Spring

Robust control for master–slave manipulator system avoiding obstacle collision under restricted working space

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