Self-Tuning PID Controller Using Ziegler-Nichols Method for Programmable Logic Controllers

Yucelen, Tansel; Kaymakçı, Özgür Turay; Kurtulan, Salman

doi:10.3182/20060830-2-sf-4903.00003

Cited by 19 publications

(20 citation statements)

References 2 publications

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“…The PLC has the flexibility both at hardware and software level and supports the popular communication protocols like modbus, ethernet, profibus and so on. With the PLC the integration to the supervisory control and data acquisition systems (SCADA) gets easy [13]. Very few researches have reported the results of the real-time on line implementation of the non-conventional PID controllers using the toolboxes available in the PLC [8] [13].…”

Section: Dr K Porkumaranmentioning

confidence: 99%

“…Few researches have been made on the real-time implementation of the fuzzy-PID or any non-conventional PID using micro-processor based systems [1] [2] [8] [13]. The widely preferred micro-processor based systems in today's automation and control industries are programmable logic controllers (PLC).…”

Section: Dr K Porkumaranmentioning

confidence: 99%

“…With the introduction of the digital processors the conventional PID controllers has gone through a technological revolution [3]. So any improvement on PID design and implementation methodology has serious potential to be used at industrial engineering applications [13]. Despite the advantages of the PID controllers for linear systems, conventional PID controllers are not suitable for systems with time-delay, high-ordered, complex and non-linear systems.…”

Section: Introductionmentioning

confidence: 99%

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A Mamdani-type fuzzy gain adapter for PID controller on a thermal system using PLC

Balaji¹,

Porkumaran

2012

2012 Annual IEEE India Conference (INDICON)

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This paper presents the development and real-time implementation of on-line, automatic gain-tuning proportional integral-derivative (pm) controller using the programmable logic controller (PLC) on a heater-furnace system The mamdani type fuzzy logic controller (FLC) tunes only the PID gains and the structure of the PID is not altered. Thereby the robustness of the pm to linear parameter variations is maintained. With the help of the fuzzy controller PID is made to overcome the non linear disturbances that can occur in a real-time environment. The developed controller is implemented on a heater-furnace system and the algorithms are developed using the ladder functions of the PLC. The real-time implementation of the conventional velocity-form pm and the Fuzzy-pm gain tuner are carried out and the results are presented. This approach provides more flexibility to use the control program with those PLCs which do not support ready pm and fuzzy-pm blocks. It is shown that the developed fuzzy tuned PID is able to track the parameter variations quickly than the conventional one with minimum overshoot and faster settling time.

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Section: Dr K Porkumaranmentioning

confidence: 99%

Section: Dr K Porkumaranmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Mamdani-type fuzzy gain adapter for PID controller on a thermal system using PLC

Balaji¹,

Porkumaran

2012

2012 Annual IEEE India Conference (INDICON)

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“…Second is to tune either K i (Integral gain) or K d (Derivative gain) to stabilize the system. Finally, the last step is to tune the last parameter to improve the stability of the system either by reducing the fluctuation or reducing the steady state error [10].…”

Section: Ziegler-nichols Tuning Methodsmentioning

confidence: 99%

Stabilising an Inverted Pendulum with PID Controller

2018

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Abstract. Inverted pendulum is a system in which the centre of the mass is above the pivot point, where the mass can freely rotate. The inverted pendulum has a unique trait; it is unpredictable, non-linear and consists of multiple variables. Balancing by PID controller is a continuous process where it corrects the feedback system error from the difference between the measured value and the desired value. This research mainly focusses on balancing an inverted pendulum with reaction wheel. The research objectives are to construct a self-balanced inverted pendulum and using PID controller to control the stability of the pendulum. The PID configuration is then evaluated based on the response of the system. The idea is to use the reaction torque generated by the motor to counter balance the inverted pendulum. The factor which governs the amount of torque generated is the height of the pendulum and the mass of the wheel. To balance the pendulum, tuning the PID gain is essential. Proportional gain is tuned first to get oscillation, next is to tune the integral and derivative gain to get a smoother and quicker response. Idea is to get short settling time, and minimum overshoot percentage. Hypothesis is that higher proportional gain will give a faster response rate and the acceleration of the motor is the key on generating torque. A simulation of the pendulum falling is simulated and the results are recorded in term of the response of the pendulum against time. At initial point, proportional gain, integral gain and derivative gain are set to zero to validate the simulation. The finding in this research is that torque is generated by the acceleration of the reaction wheel. Higher acceleration gives a high torque. Others findings is the PID parameter; Proportional gain increases the response rate; Integral gain is used to eliminate steady state error; Derivative gain is used to lessen the overshoot.

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“…The second problem is the poor performance in conventional control scheme which has effect and downgrade the performance of the systems [3]. To solve both issues, a good dynamic model for pH neutralization process has to be identified and analyzed for further computation in industrial controller.…”

Section: Introductionmentioning

confidence: 99%

Design and Simulation of PID Controller for PH Neutralization Process

Fadzlullah*¹,

Yusof²,

Zainal³

et al. 2020

IJITEE

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PH control system plays an important role in a wide range of industrial applications particularly in wastewater treatment management. Untreated wastewater generally contains high level of organic materials, numerous pathogenic microorganisms which raised concern in environmental and health hazards. The high non-linearity and time varying in pH neutralization process and the uncertainty of the plant dynamics are the key challenges of the pH control systems. There are many sophisticated PID tuning method, however conventional tuning procedure remains effectives in industries. The overall control scheme involves controls of flow rates of acid and base solutions. Ziegler Nichols method tuning has been developed for first order and second order system, in which, also applicable for pH neutralization control model. This paper elaborates the performance of transient response for pH neutralization process by using empirical techniques through the simulation software along with Proportional-Integral-Derivative (PID) for controlling purpose. A result of comparison between Ziegler-Nichols versus First Order plus Time Delay (FOPTD) of pH control system design for PID controller is seeing in a graph.

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Self-Tuning PID Controller Using Ziegler-Nichols Method for Programmable Logic Controllers

Cited by 19 publications

References 2 publications

A Mamdani-type fuzzy gain adapter for PID controller on a thermal system using PLC

A Mamdani-type fuzzy gain adapter for PID controller on a thermal system using PLC

Stabilising an Inverted Pendulum with PID Controller

Design and Simulation of PID Controller for PH Neutralization Process

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