Cuckoo search algorithm based design of interval Type-2 Fuzzy PID Controller for Furuta pendulum system

Hamza, Mukhtar Fatihu; Yap, Hwa Jen; Choudhury, Imtiaz Ahmed

doi:10.1016/j.engappai.2017.04.007

Cited by 35 publications

(8 citation statements)

References 48 publications

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“…The fuzzy control does not need the precise mathematical model of the controlled object, and can be well optimized for the complex control situation of nonlinear change and real-time change [24]. The main work of fuzzy control is to use fuzzy rules to fuzzy control objects and fuzzy reasoning.…”

Section: Design Of Congestion Controller (Fpid) Based On Modulus and Pidmentioning

confidence: 99%

A Novel Fuzzy PID Congestion Control Model Based on Cuckoo Search in WSNs

Lin

You

Chen

2020

Sensors

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Wireless Sensor Networks (WSNs) consist of multiple sensor nodes, each of which has the ability to collect, receive and send data. However, irregular data sources can lead to severe network congestion. To solve this problem, the Proportional Integral Derivative (PID) controller is introduced into the congestion control mechanism to control the queue length of messages in nodes. By running the PID algorithm on cluster head nodes, the effective collection of sensor data is realized. In addition, a fuzzy control algorithm is proposed to solve the problems of slow parameter optimization, limited adaptive ability and poor optimization precision of traditional PID controller. However, the parameter selection of the fuzzy control algorithm relies too much on expert experience and has certain limitations. Therefore, this manuscript proposes the Cuckoo Fuzzy-PID Controller (CFPID), whose core idea is to apply the cuckoo search algorithm to optimize the fuzzy PID controller’s quantization factor and PID parameter increment. Simulation results show that in comparison with the existing methods, the instantaneous queue length and real-time packet loss rate of CFPID are better.

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Section: Design Of Congestion Controller (Fpid) Based On Modulus and Pidmentioning

confidence: 99%

A Novel Fuzzy PID Congestion Control Model Based on Cuckoo Search in WSNs

Lin

You

Chen

2020

Sensors

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“…For arm (θ), substituting θ in equation (1) For lower pendulum (α), substituting α in equation (1) For upper pendulum (γ), substituting γ in equation (1) Equations (5), (7) and (9) are three nonlinear, coupled, second-order differential equations of motion describing the dynamics equations of the DRIP system. ese dynamic equations can be reduced to the following equations:…”

Section: Nonlinear Dynamic Model Of Dripmentioning

confidence: 99%

“…hybrid Fuzzy-LQR controller e DRIP is a single input multiple output (SIMO) system. Since PID has the limitation of controlling only one output [7], three PID/PID-Fuzzy controllers in cascade topology combined with LQR controller is proposed in the present study as shown in Figure 7. erefore, three PID controllers in the cascade are designed with each controlling one output.…”

Section: Hybrid Fuzzy-lqr Controllermentioning

confidence: 99%

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Performance Comparisons Of Hybrid Fuzzy-LQR And Hybrid PID-LQR Controllers On Stabilizing Double Rotary Inverted Pendulum

Adamu¹,

Hamza

Isa

2020

J. Appl. Mat. Tech.

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ABST CT: Double Rotary Inverted Pendulum (DRIP) is a member of the mechanical under-actuated system which is unstable and nonlinear. e DRIP has been widely used for testing different control algorithms in both simulation and experiments. e DRIP control objectives include Stabilization control, Swing-up control and trajectory tracking control. In this research, we present the design of an intelligent controller called "hybrid Fuzzy-LQR controller" for the DRIP system. Fuzzy logic controller (FLC) is combined with a Linear Quadratic Regulator (LQR). e LQR is included to improve the rules. e proposed controller was compared with the Hybrid PID-LQR controller. Simulation results indicate that the proposed hybrid Fuzzy-LQR controllers demonstrate a be er performance compared with the hybrid PID-LQR controller especially in the presense of disturbances.

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“…The algorithms are classified into four primary categories namely: evolutionary algorithm, swarmbased algorithm, physics-based algorithm, and human-based algorithm. The two most widely recognized algorithms in the field of evolutionary algorithms are Genetic Algorithm (GA) and Swarm-based algorithms include Particle Swarm Optimization (PSO) [25], Ant Colony Optimization (ACO) [26], Artificial Bee Colony (ABC) [27], Cuckoo search (CS) [28], and Bat Search (BAT) [29]. The Gravitational Search Algorithm (GSA) [30] belongs to the category of physicsbased algorithms that are highly significant.…”

Section: Introductionmentioning

confidence: 99%

Optimal Decentralized PI Control Design for a TimeDelay Benchmark Process Control System : AModified Whale Optimization Algorithm Approach

Mahapatro,

Khadanga,

Das

2024

Preprint

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This paper presents a new optimal decentralized PIcontroller design based on a modified hybrid whale optimization approach that is addressed for a typical industrial benchmark process control device. This research work determines the gain parameters of the PID controllers using the modified whale optimization algorithm (mWOA), aiming to achieve efficient performance by taking into account the integral time absolute error (ITAE) cost function. Further, the stability and performance of the proposed controller are verified by considering multiplicative input and output uncertainty. A comparison has beenmade between the performance of the proposed decentralized control method and a traditional decentralized PID controllerarchitecture. The obtained results highlight that the proposedcontroller exhibits superior control performance in inevitablepractical scenarios, such as in the face of additive stochasticuncertainties and load perturbation.

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Cuckoo search algorithm based design of interval Type-2 Fuzzy PID Controller for Furuta pendulum system

Cited by 35 publications

References 48 publications

A Novel Fuzzy PID Congestion Control Model Based on Cuckoo Search in WSNs

A Novel Fuzzy PID Congestion Control Model Based on Cuckoo Search in WSNs

Performance Comparisons Of Hybrid Fuzzy-LQR And Hybrid PID-LQR Controllers On Stabilizing Double Rotary Inverted Pendulum

Optimal Decentralized PI Control Design for a TimeDelay Benchmark Process Control System : AModified Whale Optimization Algorithm Approach

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