PERFORMANCE EVALUATION OF INTERNAL MODEL CONTROL BASED PROPORTIONAL INTEGRAL DERIVATIVE CONTROLLER FOR AVIONICS BAY TEMPERATURE CONTROL

2021 ◽  
Vol 12 (9) ◽  
Author(s):  
Isaiah Adebayo ◽  
Oluwole Adegbola ◽  
David Aborisade ◽  
Omolola Ajayi
Keyword(s):  
Performance Evaluation ◽  
Temperature Control ◽  
Internal Model ◽  
Internal Model Control ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Proportional Integral ◽  
Model Control

Internal Model Control–Proportional Integral Derivative–Fractional-Order Filter Controllers Design for Unstable Delay Systems

2015 ◽  
Vol 138 (2) ◽  
Author(s):  
Kahina Titouche ◽  
Rachid Mansouri ◽  
Maamar Bettayeb ◽  
Ubaid M. Al-Saggaf
Keyword(s):  
Fractional Order ◽  
Internal Model ◽  
Closed Loop ◽  
Control Structure ◽  
Internal Model Control ◽  
Loop System ◽  
Proportional Integral Derivative ◽  
Closed Loop System ◽  
Proportional Integral ◽  
Model Control

An analytical design for proportional integral derivative (PID) controller cascaded with a fractional-order filter is proposed for first-order unstable processes with time delay. The design algorithm is based on the internal model control (IMC) paradigm. A two degrees-of-freedom (2DOF) control structure is used to improve the performance of the closed-loop system. In the 2DOF control structure, an integer order controller is used to stabilize the inner-loop, and a fractional-order controller for the stabilized system is employed to improve the performance of the closed-loop system. The Walton–Marshall's method, which is applicable to quasi-polynomials, is then used to establish the internal stability condition of the closed-loop system (the fractional part of the controller in particular) and to seek the set of stabilizing proportional (P) or proportional-derivative (PD) controller parameters.

Real-time application of IMC-PID-FO multi-loop controllers on the coupled tanks process

2021 ◽  
pp. 095965182098306
Author(s):  
Tassadit Chekari ◽  
Rachid Mansouri ◽  
Maamar Bettayeb
Keyword(s):  
Real Time ◽  
Fractional Order ◽  
Internal Model ◽  
Time Windows ◽  
Nonlinear Behavior ◽  
Internal Model Control ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Model Control ◽  
Reduction Effect

The coupled tanks process is a two input-two output system. It presents a nonlinear behavior and interactions characteristic. After the nonlinear model is obtained, it is linearized around an operating point. A fractional-order proportional–integral–derivative based on the internal model control paradigm (1DOF-IMC-PID-FO) multi-loop controller is determined without considering the interactions, and a fractional-order proportional–integral–derivative based on the 2-degree-of-freedom internal model control structure (2DOF-IMC-PID-FO) multi-loop controller is determined by considering the interactions. Thus, an interactions reduction effect controller is calculated. Both controllers are implemented on a real-time process using the Real Time Windows Target of MATLAB. The objective of the control is to maintain the water level in the lower tanks at desired values. In the experiment, setpoint tracking and disturbance rejection tests are carried out to assess the performance of both 1DOF and 2DOF-IMC-PID-FO multi-loop controllers.

scholarly journals Optimised control using proportional-integral-derivative controller tuned using internal model control

2020 ◽  
Vol 10 (3) ◽  
pp. 2452
Author(s):  
B. Mabu Sarif ◽  
D. V. Ashok Kumar ◽  
M. Venu Gopala Rao
Keyword(s):  
Pid Controller ◽  
Time Delays ◽  
Internal Model ◽  
Discrete Systems ◽  
Internal Model Control ◽  
Tuning Parameter ◽  
Continuous Systems ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Model Control

Time delays are generally unavoidable in the designing frameworks for mechanical and electrical systems and so on.. In both continuous and discrete schemes, the existence of delay creates undesirable impacts on the under-thought which forces exacting constraints on attainable execution.The presence of delay confounds the design structure procedure also. It makes continuous systems boundless dimensional and also extends the readings in discrete systems fundamentally. As the Proportional-Integral-Derivative (PID) controller based on internal model control is essential and strong to address the vulnerabilities and aggravations of the model. But for an real industry process, they are less susceptible to noise than the PID controller.It results in just one tuning parameter which is the time constant of the closed-loop system λ, the internal model control filter factor.It additionally gives a decent answer for the procedure with huge time delays. The design of the PID controller based on the internal model control, with approximation of time delay using Pade’ and Taylor’s series is depicted in this paper. The first order filter used in the design provides good set-point tracking along with disturbance rejection.

Internal Model Control Design for Autothermal Reforming System

2014 ◽  
Vol 627 ◽  
pp. 236-240 ◽  
Author(s):  
Chananchai Wutthithanyawat ◽  
Nawadee Srisiriwat
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Reaction Temperature ◽  
Internal Model ◽  
Controller Design ◽  
Autothermal Reforming ◽  
Internal Model Control ◽  
Cold Weather ◽  
Model Control ◽  
Feed Temperature

This paper focuses on the control system design for a process of autothermal reforming (ATR) of ethanol. The targeted application is within an on-board fuel processor of ATR operating at the adiabatic reaction temperature for hydrogen production. An internal model control (IMC) method is designed for controlling the adiabatic reaction temperature of ATR reactor by manipulating the input air flow rate. Two strategies of controller design with and without the feed temperature control of the preheater unit are proposed in order to determine the suitable controller system as the surrounding temperature is a major disturbance for cold weather. Theoretical analysis demonstrates that IMC strategy can achieve desired performance. Two loops of control system of the ATR process combined with the feed temperature control can compensate the surrounding temperature better than without the feed temperature control.

Temperature Control of a Cutting Process Using Fractional Order Proportional-Integral-Derivative Controller

2011 ◽  
Vol 133 (5) ◽  
Author(s):  
Mahsan Tavakoli-Kakhki ◽  
Mohammad Haeri
Keyword(s):  
Fractional Order ◽  
Temperature Control ◽  
Reduction Method ◽  
Cutting Process ◽  
Specific Class ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Proportional Integral ◽  
The Stability ◽  
Fractional Order Pid

In this paper, the fractionalized differentiating method is implemented to reduce commensurate fractional order models complexity. The prominent properties of this method are its simplicity and guarantee of preserving the stability of a specific class of fractional order models in their reduced counterparts. The presented reduction method is employed in simplifying complicated fractional order controllers to a fractional order PID (FOPID) controller and proposing tuning rules for its parameters adjustment. Finally, the efficiency of the FOPID tuning rule obtained based on the proposed reduction method is shown in the temperature control of a cutting process.

Robust two-degree of freedom H∞ control design for a twin rotor multi-input multi-output system with external disturbances and model uncertainties

2020 ◽  
pp. 095965182095496
Author(s):  
Smruti Ranjan Jagadeb ◽  
Bidyadhar Subudhi ◽  
Asim Kumar Naskar
Keyword(s):  
Internal Model Control ◽  
Degree Of Freedom ◽  
Proportional Integral Derivative ◽  
Model Uncertainties ◽  
External Disturbances ◽  
Proportional Integral Derivative Controller ◽  
Proportional Integral ◽  
Output System ◽  
Two Degree Of Freedom ◽  
Twin Rotor

The control of twin rotor multi-input multi-output system is difficult as it is subjected to model uncertainties and external disturbances. Furthermore, there also exists a coupling between pitch and yaw positions, which makes the system more difficult to control them separately. Considering the above difficulties in twin rotor multi-input multi-output system control, [Formula: see text] robust controller is designed to handle the model uncertainties and external disturbances with two-degree-of-freedom. A mixed sensitivity approach is employed to represent the uncertainties and external disturbances arise in the twin rotor multi-input multi-output system. For performance analysis, first the proposed two-degree-of-freedom [Formula: see text] controller is compared with the ‘Linear Quadratic Regulator-Linear Matrix Inequality’–based robust proportional–integral–derivative controller and Internal Model Control–based proportional–integral–derivative controller in MATLAB/Simulation and then in experimentation. From the obtained results, it is confirmed that the proposed controller exhibits enhanced robustness, faster tracking performance and accurate disturbance attenuation, when compared with Linear Quadratic Regulator-Linear Matrix Inequality–based robust proportional–integral–derivative controller and Internal Model Control–based proportional–integral–derivative controller in face of external disturbances and uncertainties.

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