Identification of Liquid Slosh Behavior Using Continuous-Time Hammerstein Model Based Sine Cosine Algorithm

Jui, Julakha Jahan; Suid, Mohd Helmi; Musa, Zulkifli; Ahmad, Mohd Ashraf

doi:10.1007/978-981-15-5281-6_24

Cited by 9 publications

(3 citation statements)

References 25 publications

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“…This tuning step is iteratively performed until the last iteration. This section also explains the Hammerstein model that is widely used to identify real nonlinear plants and processes [16], [17], including Thermoelectric cooler [18], [19], amplified piezoelectric tube actuators [20], forecast of wind speed [21], giant magnetostrictive actuators (GMAs) [22], boiler superheated steam pressure [23], boost converter of DC/DC [24], intelligent pneumatic actuator (IPA) [25], hydraulic mini excavator [26], ultrasonic motor [27], proton exchange membrane fuel cell (PEMFC) [28], turntable servo system [29], valve Stiction [30] and electrically stimulated muscle [31]. The Hammerstein model can accurately model actuators to solve control issues and strengthen nonlinearity system identification.…”

Section: Related Workmentioning

confidence: 99%

Metaheuristics algorithms to identify nonlinear Hammerstein model: a decade survey

2022

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Metaheuristics have been acknowledged as an effective solution for many difficult issues related to optimization. The metaheuristics, especially swarm’s intelligence and evolutionary computing algorithms, have gained popularity within a short time over the past two decades. Various metaheuristics algorithms are being introduced on an annual basis and applications that are more new are gradually being discovered. This paper presents a survey for the years 2011-2021 on multiple metaheuristics algorithms, particularly swarm and evolutionary algorithms, to identify a nonlinear block-oriented model called the Hammerstein model, mainly because such model has garnered much interest amidst researchers to identify nonlinear systems. Besides introducing a complete survey on the various population-based algorithms to identify the Hammerstein model, this paper also investigated some empirically verified actual process plants results. As such, this article serves as a guideline on the fundamentals of identifying nonlinear block-oriented models for new practitioners, apart from presenting a comprehensive summary of cutting-edge trends within the context of this topic area.

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Section: Related Workmentioning

confidence: 99%

Metaheuristics algorithms to identify nonlinear Hammerstein model: a decade survey

2022

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“…This type of control strategy utilizes the preliminary knowledge of the controlled system in the design steps. The design steps include formulating the plant's model, which involves deriving the dynamic equation based on Lagrange's energy dissipation principle [14] or system identification techniques [15]. Generally, modeling a complex system might be challenging as it requires specific skills and mathematical procedures [16].…”

Section: Introductionmentioning

confidence: 99%

FRIT-based integral action state feedback controller tuning using PSO for a liquid slosh suppression system

et al. 2022

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This paper presents a model-free approach of controller tuning to a liquid slosh suppression system. The sloshing is the usual occurrence happening to the liquid in a moving container. An integral action state feedback controller was proposed as the selected control structure. A fictitious reference signal was formulated using the recorded input-output data generated from a one-shot experiment and later be used to design the appropriate performance index. The minimization of the performance index of the controlled system was achieved by employing the PSO algorithm. Numerical analyses using MATLAB software have been conducted to evaluate the effectiveness of the proposed model-free approach. The results manifested that the tuned controller had exhibited good transient response performance regarding the trajectory tracking of the cart motion and reduction of slosh level motion.

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“…This limitation can be overcome by using various optimization algorithms. Furthermore, many researchers also utilize the optimization algorithms to identify the Hammerstein models, such as the Cuckoo search Algorithm [22], Particle Swarm optimization [23], Gravitational Search Algorithm [24], and Sine Cosine Algorithm [25]. From the above literature, various weaknesses are inevitable in the previous studies, such as:…”

Section: Introductionmentioning

confidence: 99%

Identification of the Thermoelectric Cooler Using Hybrid Multi-Verse Optimizer and Sine Cosine Algorithm Based Continuous-Time Hammerstein Model

Jui

Ahmad

Ali

et al. 2021

Cybernetics and Information Technologies

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This paper presents the identification of the ThermoElectric Cooler (TEC) plant using a hybrid method of Multi-Verse Optimizer with Sine Cosine Algorithm (hMVOSCA) based on continuous-time Hammerstein model. These modifications are mainly for escaping from local minima and for making the balance between exploration and exploitation. In the Hammerstein model identification a continuous-time linear system is used and the hMVOSCA based method is used to tune the coefficients of both the Hammerstein model subsystems (linear and nonlinear) such that the error between the estimated output and the actual output is reduced. The efficiency of the proposed method is evaluated based on the convergence curve, parameter estimation error, bode plot, function plot, and Wilcoxon’s rank test. The experimental findings show that the hMVOSCA can produce a Hammerstein system that generates an estimated output like the actual TEC output. Moreover, the identified outputs also show that the hMVOSCA outperforms other popular metaheuristic algorithms.

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Identification of Liquid Slosh Behavior Using Continuous-Time Hammerstein Model Based Sine Cosine Algorithm

Cited by 9 publications

References 25 publications

Metaheuristics algorithms to identify nonlinear Hammerstein model: a decade survey

Metaheuristics algorithms to identify nonlinear Hammerstein model: a decade survey

FRIT-based integral action state feedback controller tuning using PSO for a liquid slosh suppression system

Identification of the Thermoelectric Cooler Using Hybrid Multi-Verse Optimizer and Sine Cosine Algorithm Based Continuous-Time Hammerstein Model

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