Intelligent Modeling and Control of Washing Machine Using Locally Linear Neuro‐fuzzy (Llnf) Modeling and Modified Brain Emotional Learning Based Intelligent Controller (Belbic)

Lucas, Caro; Milasi, Rasoul M.; Araabi, Babak Nadjar

doi:10.1111/j.1934-6093.2006.tb00290.x

Cited by 52 publications

(11 citation statements)

References 16 publications

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“…The BELBIC can have one or more input signals and only one output signal. Principally, it can be seen that there are two input signals: the Sensory Input coming from the stimulus and the Reward, which is an internal signal . The control system configuration using BELBIC is shown in Fig.…”

Section: Brain Emotional Learning Based Intelligent Controller (Belbic)mentioning

confidence: 99%

Applying Brain Emotional Learning Based Intelligent Controller (Belbic) to Multiple‐Area Power Systems

Aghaee

Lucas

Zadeh

2012

Asian Journal of Control

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Evolution of efficient power system control is very important. An effective power system simulation is useful for development as an evaluation of control performance. In this paper, a new, efficient simulation of multiple-area power system control is proposed. We present the application of a Brain Emotional Learning Based Intelligent Controller (BELBIC) to regulate the frequency error for a two-area interconnected power system. BELBIC is based on the emotional learning process in the Amygdala-Orbitofrontal system of the mammalian brain. Simulation results of this controller and the PID controller for a two-area power system in a MATLAB/SIMULINK environment show that it develops the stability control performance and improves amplitude of oscillations and settling time up to 17% and 24%, respectively. Actually, the simulation shows that the proposed BELBIC model for the MATLAB/SIMULINK environment works and gives acceptable results, without redesigning it for each separate system.

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Section: Brain Emotional Learning Based Intelligent Controller (Belbic)mentioning

confidence: 99%

Applying Brain Emotional Learning Based Intelligent Controller (Belbic) to Multiple‐Area Power Systems

Aghaee

Lucas

Zadeh

2012

Asian Journal of Control

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“…Therefore, the simple and effective controller is needed to control BLDC drive for electric vehicles [20] - [21]. In this article, the BELBIC controller is proposed to control BLDC drive and gives a comprehensive introduction and perspective of its applications in intelligent electric field drives [22]. BELBIC was introduced as a controller based on the limbic system calculation model of the mammalian brain.…”

Section: Introductionmentioning

confidence: 99%

Simulation of BELBIC in BLDC Motor Drive System for Electric Vehicle

Priya¹,

raj²,

Karthik³

et al. 2017

IJEEE

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Emotional learning is one kind of learning strategies depends on emotional estimations that assess the impact of external stimuli on the ability of the system to function effectively in the short term and to maintain its long-term survival prospects. The controller which is based on the emotional dealing trick in the brain is called BELBIC. The intelligent control is inspired by the limbic system of the mammalian brain. In this paper Matlab/Simulink, the simulation model of the complete system is built to control the speed and torque of the machine. In a speed loop, BELBIC is proposed as a speed controller in this paper. In the BLDC drive system Speed and torque performance of the machine is enhanced by the BELBIC controller compared to conventional PI controller with minimum processing time.

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“…Afterwards, this learning technique is deployed in the system control design presenting the novel Brain Emotional Learning Based Intelligent Controller (BELBIC) [30]. Thus, the Brain Emotional Learning Based Intelligent Controller (BELBIC) has shown robustness in the control of the nonlinear and uncertain systems such as Van Der Pol oscillator, Duffing forced oscillator and automatic self-balancing scale [31], washing machine [32], microheat exchanger [33], switched reluctance motor [34], unmanned aerial vehicle [35], path tracking of a vehicle [36], two-coupled distillation column process [37], multiple-area power systems [38], and continuous stirred tank reactor [39, 40]. …”

Section: Introductionmentioning

confidence: 99%

A New Hybrid BFOA-PSO Optimization Technique for Decoupling and Robust Control of Two-Coupled Distillation Column Process

Abdel-Karim

Mohamed

El-Garhy

et al. 2016

Computational Intelligence and Neuroscience

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The two-coupled distillation column process is a physically complicated system in many aspects. Specifically, the nested interrelationship between system inputs and outputs constitutes one of the significant challenges in system control design. Mostly, such a process is to be decoupled into several input/output pairings (loops), so that a single controller can be assigned for each loop. In the frame of this research, the Brain Emotional Learning Based Intelligent Controller (BELBIC) forms the control structure for each decoupled loop. The paper's main objective is to develop a parameterization technique for decoupling and control schemes, which ensures robust control behavior. In this regard, the novel optimization technique Bacterial Swarm Optimization (BSO) is utilized for the minimization of summation of the integral time-weighted squared errors (ITSEs) for all control loops. This optimization technique constitutes a hybrid between two techniques, which are the Particle Swarm and Bacterial Foraging algorithms. According to the simulation results, this hybridized technique ensures low mathematical burdens and high decoupling and control accuracy. Moreover, the behavior analysis of the proposed BELBIC shows a remarkable improvement in the time domain behavior and robustness over the conventional PID controller.

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Intelligent Modeling and Control of Washing Machine Using Locally Linear Neuro‐fuzzy (Llnf) Modeling and Modified Brain Emotional Learning Based Intelligent Controller (Belbic)

Cited by 52 publications

References 16 publications

Applying Brain Emotional Learning Based Intelligent Controller (Belbic) to Multiple‐Area Power Systems

Applying Brain Emotional Learning Based Intelligent Controller (Belbic) to Multiple‐Area Power Systems

Simulation of BELBIC in BLDC Motor Drive System for Electric Vehicle

A New Hybrid BFOA-PSO Optimization Technique for Decoupling and Robust Control of Two-Coupled Distillation Column Process

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