A Software-Based Gain Scheduling of PID Controller

Sarhan, Hussein

doi:10.5121/ijics.2014.4301

Cited by 3 publications

(5 citation statements)

References 6 publications

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“…The practical system parameters are used for the system relative stability evolution [16,18]. The system was built and tested using a DC motor with speed of 1200 rpm and voltage 12 Volt and current 0.8 Ampere.…”

Section: Resultsmentioning

confidence: 99%

Relative stability enhancement for brushed DC motor using a PLL interfaced with LabVIEW

Mahmoud

El-Biomey

Ahmed

2020

IJPEDS

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This work presents a fast response and stable computer based a brushed DC motor speed controller. The controller configured of gate drive circuits for H-Bridge accompanied with data acquisition unit DAQ-6211. These gate drive circuits include, phase comparator, current booster and wave forms cleaning circuits. An optical encoder is used for motor speed to frequency conversion. The CD4046 PLL chip compares phases of the encoder output frequency (motor speed) with a reference frequency (desired speed). The obtained phase difference (error) is used to allocate the suitable PWM duty cycles. An H-Bridge BJT switches driven by PWM is interfaced with the motor. The system hardware is provided with a simple and accurate data acquisition unit DAQ-6211 to be interfaced with the LabVIEW software Package. This allows monitoring and storing the different measured data of this platform. The system relative stability is determined and examined based on the Bode plot analysis and design. Then the relative stability criterion (Phase Margin) is measured the closed-loop stability of the system. This system considers the fast feedback response with indication of its stability state as well as the stable wide dynamic range. It compensates the changes in system parameters due to the environmental effects and other disturbances.

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Section: Resultsmentioning

confidence: 99%

Relative stability enhancement for brushed DC motor using a PLL interfaced with LabVIEW

Mahmoud

El-Biomey

Ahmed

2020

IJPEDS

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“…The PID controller has several important functions and provides feedback and has the ability to eliminate steady state offset through integral action and can anticipate the future of derivative actions [8] [9]. PID controller is an important ingredient of a distributed control system.…”

Section: Pid Controllermentioning

confidence: 99%

“…By using Zeigler-Nichols tuning method it will determine the PID controller parameter referring to tuning table [9]. Table 2: Tuning of PID controller Parameter according to Zeigler-Nichols Tuning by using step response methods [9] Controller P PI PID…”

Section: Pid Controllermentioning

confidence: 99%

Comparative Study on Flexible Link Aerator Using Arduino Programming and Dissolved Oxygen Meter

Zain

Anuar

Al-Shaibani

2018

IJIE

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“…The time delay of the system, T d , was graphically determined for each step response and introduced as a known parameter in the system identification tool. Then, the system responses were fitted into first-order plus time-delay (FOPTD) (1); second-order plus timedelay (SOPTD) (2), and third-order plus time-delay (TOPTD) (3). By running the Matlab System Identification Tool for each step response with one, two and three poles, the static gain K c , and the value of the poles T p1 , T p2 , and T p3 , respectively, were obtained.…”

Section: Model Identification Of the Air Heatermentioning

confidence: 99%

“…The latest method has been evaluated in various unstable processes with time delay obtaining nominal and robust control performances, improving closed-loop approach performances, and reducing the undesirable overshoot [2]. There have also been software developments, such as the inclusion of gain scheduling of PID controllers, which dynamically adjust the gains of the PID algorithm during the control process [3], or real-time implementations in languages like Matlab [4] or LabVIEW [5].…”

Section: Introductionmentioning

confidence: 99%

Identification model and PI and PID controller design for a novel electric air heater

et al. 2017

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In this article, the software and hardware control architecture for a novel high-temperature three-phase electric air heating furnace is presented. It consists of a multiple-input singleoutput (MISO) nonlinear plant designed to heat air at flow rates in a range between 10 and 60 Nm 3 /h, from ambient temperature up to 1000 C. A divide-and-conquer (D&C) approach is applied. It consists in discretizing the air flow rates and working temperatures in intervals where the system behaviour is considered as single-input single-output (SISO) linear plant. Process identification techniques have been used to obtain empiric models for different operation ranges of the electric furnace. The controller parameters have been calculated using the Ziegler-Nichols tuning method. The resulting output air temperature control is composed of a set of 12 PI and PID controllers. The switch among controllers as a function of air flow rates and temperatures is carried out using programming logic and gain scheduling technique, respectively. The resulting multiple controller has been tested under real conditions and the results are presented and discussed.

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A Software-Based Gain Scheduling of PID Controller

Abstract: In this paper, a scheduled-gain SG-PID controller using

Cited by 3 publications

References 6 publications

Relative stability enhancement for brushed DC motor using a PLL interfaced with LabVIEW

Relative stability enhancement for brushed DC motor using a PLL interfaced with LabVIEW

Comparative Study on Flexible Link Aerator Using Arduino Programming and Dissolved Oxygen Meter

Identification model and PI and PID controller design for a novel electric air heater

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