New lambda tuning approach of single input fuzzy logic using gradient descent algorithm and particle swarm optimization

Zohedi, Fauzal Naim; Aras, Mohd Shahrieel Mohd; Kasdirin, Hyreil Anuar; Nordin, Nurdiana

doi:10.11591/ijeecs.v25.i3.pp1344-1355

Cited by 3 publications

(4 citation statements)

References 31 publications

(41 reference statements)

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“…It brings the two-dimensional Toeplitz rule base down to a one-dimensional rule vector, which can be approximated using a piecewise linear control surface. According to the results of computer simulations, the control performance is almost similar to that of a conventional fuzzy logic controller [18,26].…”

Section: Introductionmentioning

confidence: 71%

“…In addition, processes of fuzzification and defuzzification, as well as an inference mechanism and storage for rule bases build the structure of fuzzy logic control. Because of these features, the controller will naturally become more complicated, which will require a significant amount of additional computing time [18][19][20][21]. However, these research does not discuss the issue of tuning FLC which is considered the major challenge to design accurate controller.…”

Section: Introductionmentioning

confidence: 99%

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Design of a Two-Area Automatic Generation Control Using a Single Input Fuzzy Gain Scheduling PID Controller

2022

IJIES

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An Automatic Generation Control (AGC) is considered a substantial stage in power systems to ensure that the area-frequency response and the tie-line power of an interchanging steady state errors are acceptable values especially at the transient state. Whiles, several techniques have been designed for the AGC, Fuzzy logic control is commonly used. However, it is faced a longer processing time issues to adjust the accurate single in the transient state.In this paper, a Single Input Fuzzy Logic Gain Scheduling PID Controller (SIFL-PID) is designed as a supplementary loop for AGC of two area interconnected power system to reduce the processing time. The lower number of rules and the simple parameters of the SIFL-PID will contribute to minimise the design time required for the Fuzzy Logic Gain Scheduling FL-PID. The SIFL-PID also reduced the signed distance technique when it is generated one input variable simple mathematical model of the system. In comparison with the FL-PID, the number of rules controlling system can be significantly reduced. The main outcome of this work is that it is assessed the effectiveness of the SIFL-PID for two power systems that are interconnected when it is compared with the FL-PID using the MATLAB/SIMULINK environment. The results prove that, the simple design of the SIFL-PID control is validated under various condition tests. Performance analysis standards are also performed. The results of all simulations demonstrate that the suggested controller provides better performances such as like as minimum Performance analysis standards, frequency deviation power deviations and low overshoot and undershoot.

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Section: Introductionmentioning

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Design of a Two-Area Automatic Generation Control Using a Single Input Fuzzy Gain Scheduling PID Controller

2022

IJIES

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“…Single input fuzzy logic controller (SIFLC) with gradient descent algorithm (GDA) and particle swarm optimization (PSO) for improving the routing efficiency [22]. Multi-feature-based deep convolutional neural networks which recogonizes the facial expression.…”

Section: Introductionmentioning

confidence: 99%

Hermitan matrices based malicious cognitive radio detection and bayesian method for detecting primary user emulation attack

Jeyakumar

Shanmathi

Smitha

et al. 2023

IJEECS

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Cognitive radio (CR) is a facilitating technology to efficiently deal with the spectrum scarceness, and it will significantly enhance the spectrum deployment of upcoming wireless transmission method. Security is a significant concern, although not well tackle in cognitive radio networks (CRN). In CR networks, this approach regard as a security issue happen from primary user emulation attack (PUEA). A PUEA attacker forwards an emulated primary signal and defraud the CR users to avoid them from accessing spectrum holes. Here, we introduce a Hermitan matrices based malicious cognitive radio (CMCR) detection and Bayesian method for detecting PUEA attack in the CRN. In this approach, the Bayesian method is used for detecting the PUEA attack. The trust analyzer evaluates the CR trust. Here, the node trust value is computed by node activeness and inactiveness, degree of data transmission, and hermitan matrics verification. In addition, the Hermitan Matrices method is used to detect the malicious CR user in the CRN. The simulation outcomes propose that the CMCR leads to improve the performance in terms of better detection ratio, minimized the possibility of miss detection ratio. Furthermore, it minimized the possibility of false alarm in the CRN.

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“…Recently, proportional integral derivative (PID) controller based on optimization algorithms [7]- [9] and fuzzy logic [10]- [13] have proved their efficiency in terms of controlling such nonlinear, unstable systems; however, their implementation on quadrotors was very limited because of the presence of external disturbances which are hard to be predicted. In the literature, several techniques were developed for vehicles' control in general [14]- [16] and for quadrotors' control in particular such as sliding mode controller (SMC) [17], SMC approach built on backstepping controller (BSC) which produces high performances and faster response [18], [19], sliding controller combined with state observer compensate for uncertain nonlinear components [20].…”

Section: Introductionmentioning

confidence: 99%

Enhanced backstepping control for disturbances rejection in quadrotors

et al. 2022

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This work studies the issue of quadrotor trajectory tracking control in presence of disturbances and model uncertainties. The paper starts by extracting the kinematics and dynamics models of the quadrotor. This results in the motion equations, which eventually serve as a blueprint for creating the suggested smart flight control scheme. Secondly, an enhanced backstepping controller (BSC) is developed and tested to keep the quadrotor tracking the desired trajectory both in steady state and in presence of disturbances. Finally, BSC beside two other controllers: sliding mode controller (SMC) and proportional derivative controller (PDC) are implemented in MATLAB/Simulink and the obtained results are compared and conclusions are extracted. Therefore, it is established that PDC is not robust to disturbances as noise will be amplified due to the derivative term. Whereas, although SMC is robust to parameter variations and disturbances; however, it is not continuous which may affect the actuators due to the increased gains which may saturate them. In contrast, BSC requires too many tuning parameters; however, it ensures Lyapunov Stability and does not depend on the system as it does not involve cancelling system nonlinearity. Moreover, BSC results are 1017 better than the results of the two other controllers.

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New lambda tuning approach of single input fuzzy logic using gradient descent algorithm and particle swarm optimization

Cited by 3 publications

References 31 publications

Design of a Two-Area Automatic Generation Control Using a Single Input Fuzzy Gain Scheduling PID Controller

Design of a Two-Area Automatic Generation Control Using a Single Input Fuzzy Gain Scheduling PID Controller

Hermitan matrices based malicious cognitive radio detection and bayesian method for detecting primary user emulation attack

Enhanced backstepping control for disturbances rejection in quadrotors

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