Real-Time Control of Pressure Plant Using 2DOF Fractional-Order PID Controller

Bingi, Kishore; Ibrahim, Rosdiazli; Karsiti, Mohd Noh; Hassan, Sabo Miya; Harindran, Vivekananda Rajah

doi:10.1007/s13369-018-3317-9

Cited by 39 publications

(8 citation statements)

References 27 publications

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“…Moreover, for these higher DOF robotic manipulators, the controller parameters are tuned using rule-based methods including Bode tuning [24] and decentralized tuning [20]. More details regarding the control actions of the fractional-order PID controller family, including two-degree of freedom configuration, can be found in [6,7,109,110].…”

Section: Fractional-order Pid Controllersmentioning

confidence: 99%

A Review on Fractional-Order Modelling and Control of Robotic Manipulators

2023

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Robot manipulators are widely used in many fields and play a vital role in the assembly, maintenance, and servicing of future complex in-orbit infrastructures. They are also helpful in areas where it is undesirable for humans to go, for instance, during undersea exploration, in radioactive surroundings, and other hazardous places. Robotic manipulators are highly coupled and non-linear multivariable mechanical systems designed to perform one of these specific tasks. Further, the time-varying constraints and uncertainties of robotic manipulators will adversely affect the characteristics and response of these systems. Therefore, these systems require effective modelling and robust controllers to handle such complexities, which is challenging for control engineers. To solve this problem, many researchers have used the fractional-order concept in the modelling and control of robotic manipulators; yet it remains a challenge. This review paper presents comprehensive and significant research on state-of-the-art fractional-order modelling and control strategies for robotic manipulators. It also aims to provide a control engineering community for better understanding and up-to-date knowledge of fractional-order modelling, control trends, and future directions. The main table summarises around 95 works closely related to the mentioned issue. Key areas focused on include modelling, fractional-order modelling type, model order, fractional-order control, controller parameters, comparison controllers, tuning techniques, objective function, fractional-order definitions and approximation techniques, simulation tools and validation type. Trends for existing research have been broadly studied and depicted graphically. Further, future perspective and research gaps have also been discussed comprehensively.

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Section: Fractional-order Pid Controllersmentioning

confidence: 99%

A Review on Fractional-Order Modelling and Control of Robotic Manipulators

2023

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“…Nowadays, fractional-order controllers (FOCs) in engineering applications are evolving into an attractive area. [17][18][19] The methods with FOC provide an extra degree of freedom in tuning parameters. The fractional-order proportional-integral-derivative (FOPID) presented by Podlubny 20 has two additional parameters: fractional differential and fractional integral orders.…”

Section: Introductionmentioning

confidence: 99%

Improved control of integrating cascade processes with time delays using fractional-order internal model controller with the Smith predictor

Ranjan

Mehta

2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article proposes an enhanced control of integrating cascade processes. The importance of the scheme shows by controlling a double integrating process with time delay under significant parametric uncertainties and load disturbances. A novel design is proposed based on the Smith predictor principle and uses a fractional-order internal model controller in the outer loop. The required fractional-order tuning parameter follows the desired gain and phase margins. At the same time, another tuning parameter, such as the fractional filter’s time constant, is calculated from the desired performance constraint. Numerical analysis and comparison are performed to showcase the feature of the hybrid structure. The simulation results show that the fractional-order internal model controller–based scheme provides enhanced tracking and faster regulation capabilities and works well under nominal and parameter uncertainty conditions.

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“…The most common method in the tension control is PID control [1,2,3,4,5], which is simple in principle and easy to implement. When the structure of the controlled object is simple or the winding speed is relatively low, the PID control method can achieve a good control effect.…”

Section: Introductionmentioning

confidence: 99%

Research on Tension Control System of Reciprocating Winding

Zhao

Zeng

Zhao

2022

J. Phys.: Conf. Ser.

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When the enameled wire is winded onto the poles of the motor stator or rotor, the winding quality hugely relies on the control precision of the tension. Therefore, it is necessary to control the tension of the enameled wire in winding process. A tension control system is built with single chip microcomputer, the encoder and the servo motor. The PID feedback controller and feedforward controller are combined to form feedforward feedback controller, which using feedback information of swing angle deviation and feedforward information of wire frame position to adjust the pay off speed dynamically and control tension of enameled wire further. A procedural experimental modelling method is discussed in order to identify the feedforward model. The experiment is performed, it is found that in the typical situation of setting tension 1500 g, the tension fluctuation rate of the PID controller with feedforward model is only 2%, which is far better than that of pure PID controller with a fluctuation rate of 14%. The result shows that the proposed experimental modelling method hosts the characteristics of good accuracy, universality and applicability.

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Real-Time Control of Pressure Plant Using 2DOF Fractional-Order PID Controller

Cited by 39 publications

References 27 publications

A Review on Fractional-Order Modelling and Control of Robotic Manipulators

A Review on Fractional-Order Modelling and Control of Robotic Manipulators

Improved control of integrating cascade processes with time delays using fractional-order internal model controller with the Smith predictor

Research on Tension Control System of Reciprocating Winding

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