Comparison of the CRONE-1 and FOPID Controllers for Steam Temperature Control of the Essential Oil Extraction Process

Pezol, Nor Syafikah; Rahiman, Mohd Hezri Fazalul; Adnan, Ramli; Tajjudin, Mazidah

doi:10.1109/i2cacis52118.2021.9495875

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…This memory is the main reason for the sluggishness and the weakness in the time complexity of FO-based algorithm. However, the sluggishness and weakness in time complexity would be acceptable for the following reasons: i) The rapid development of implementing a very speed CPUs for data processing could be used in implementing FO-based algorithms for numerous applications [18,21,46]; ii) Many applications have a sample time that is adequate with algorithms depending on FO calculus, for example the power systems [4], the temperature control systems [50,76], and electro-mechanical systems [56]. Moreover, to simplify the computation complexity of the proposed FOPID-FOAC algorithm, the numerical solution of the fractional order differential equation in Eq.…”

Section: Scenario 3: Uncertainty Suppressionmentioning

confidence: 99%

Optimal fractional-order PID controller based on fractional-order actor-critic algorithm

Shalaby

El-Hossainy²,

Abozalam

et al. 2022

Neural Comput & Applic

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In this paper, an online optimization approach of a fractional-order PID controller based on a fractional-order actor-critic algorithm (FOPID-FOAC) is proposed. The proposed FOPID-FOAC scheme exploits the advantages of the FOPID controller and FOAC approaches to improve the performance of nonlinear systems. The proposed FOAC is built by developing a FO-based learning approach for the actor-critic neural network with adaptive learning rates. Moreover, a FO rectified linear unit (RLU) is introduced to enable the AC neural network to define and optimize its own activation function. By the means of the Lyapunov theorem, the convergence and the stability analysis of the proposed algorithm are investigated. The FO operators for the FOAC learning algorithm are obtained using the gray wolf optimization (GWO) algorithm. The effectiveness of the proposed approach is proven by extensive simulations based on the tracking problem of the two degrees of freedom (2-DOF) helicopter system and the stabilization issue of the inverted pendulum (IP) system. Moreover, the performance of the proposed algorithm is compared against optimized FOPID control approaches in different system conditions, namely when the system is subjected to parameter uncertainties and external disturbances. The performance comparison is conducted in terms of two types of performance indices, the error performance indices, and the time response performance indices. The first one includes the integral absolute error (IAE), and the integral squared error (ISE), whereas the second type involves the rising time, the maximum overshoot (Max. OS), and the settling time. The simulation results explicitly indicate the high effectiveness of the proposed FOPID-FOAC controller in terms of the two types of performance measurements under different scenarios compared with the other control algorithms.

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Section: Scenario 3: Uncertainty Suppressionmentioning

confidence: 99%

Optimal fractional-order PID controller based on fractional-order actor-critic algorithm

Shalaby

El-Hossainy²,

Abozalam

et al. 2022

Neural Comput & Applic

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High-dimensional Multiple Fractional Order Controller for Automatic Generation Control and Automatic Voltage Regulation

Yin

Cao

Chen

2022

Int. J. Control Autom. Syst.

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Performance Evaluation of Composite CRONE Controller Strategy for an Air Pressure System

Velmurugan

Praboo

Kumar

2023

Mathematical Problems in Engineering

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This article explores and determines the robust performance of a CRONE controller for an air pressure system (APS). Generally, the CRONE controller is a robust noninteger order controller to achieve linear performance for a highly nonlinear system. In this regard, the noninteger order controller can be designed using the transfer function of an APS. Whereas, the transfer function of the system is obtained by the worst-case modelling technique. The servo performance of the controller is analyzed in terms of error and time indices performances for three different operating points. Finally, the simulation results are compared with the conventional controller. According to the performance characteristics, it is visualized that the composite CRONE (CC) controller gives superior performance than the first generation CRONE (FGC) controller and conventional controller for the selected nonlinear system.

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Comparison of the CRONE-1 and FOPID Controllers for Steam Temperature Control of the Essential Oil Extraction Process

Cited by 4 publications

References 18 publications

Optimal fractional-order PID controller based on fractional-order actor-critic algorithm

Optimal fractional-order PID controller based on fractional-order actor-critic algorithm

High-dimensional Multiple Fractional Order Controller for Automatic Generation Control and Automatic Voltage Regulation

Performance Evaluation of Composite CRONE Controller Strategy for an Air Pressure System

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