Particle Swarm Optimization &amp;#x2014; Based determination of Ziegler-Nichols parameters for PID controller of brushless DC motors

Milani, Muhammed; Çavdar, Tuğrul; Aghjehkand, Vahid Faryad

doi:10.1109/inista.2012.6246984

Cited by 21 publications

(6 citation statements)

References 11 publications

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“…The parameters in (2) are defined in Table 1 [32,33]. With the parameters listed in Table 1, the DC servomotor transfer function will be ( ) = ( ) ( ) = 0.01 (0.005 2 + 0.06 + 0.1001) .…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Application of Combinatorial Interaction Design for DC Servomotor PID Controller Tuning

Sahib

Ahmed

Potrus

2014

Journal of Control Science and Engineering

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Combinatorial optimization has been used in different research areas. It has been employed successfully in software testing fields to construct minimum set of combinations (i.e., in terms of size) which in turn represents the minimum number of test cases. It was also found to be a successful approach that can be applied to solve other similar problems in different fields of research. In line with this approach, this paper presents a new application of the combinational optimization in the design of PID controller for DC servomotor. The design of PID controller involves the determination of three parameters. To find optimal initial PID parameters, different tuning methods have been proposed and designed in the literature. The combinatorial design is concerned with the arrangement of finite set of elements into combinatorial set that satisfies some given constraints. Consequently, the proposed method takes the interaction of the input parameters as a constraint for constructing this combinatorial set. The generated sets are then used in the proposed tuning method. The method proved its effectiveness within a set of experiments in a simulated environment.

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“…The parameters in (2) are defined in Table 1 [32,33]. With the parameters listed in Table 1, the DC servomotor transfer function will be ( ) = ( ) ( ) = 0.01 (0.005 2 + 0.06 + 0.1001) .…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Application of Combinatorial Interaction Design for DC Servomotor PID Controller Tuning

Sahib

Ahmed

Potrus

2014

Journal of Control Science and Engineering

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“…al. [10] determined optimum PID parameters for reducing rise time, settling time and overshoot on system response through the use of the proposed PID-PSO-ZN algorithm for BLDC motor.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Particle Swarm Optimization (PSO) Algorithm for PID Parameter Tuning in Speed Control of Brushless DC (BLDC) Motor

Bhandari,

Pancha,

Poudel

et al. 2023

J. Phys.: Conf. Ser.

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With the advancement in the technology of power electronics and microelectronics, the use of brushless DC motor has been increasingly expanded. The numerous benefits of brushless DC motor are one of the prime factors that has helped in the rapid expansion in the use of BLDC motor. Simple operation and maintenance, compact volume, light weight, energy conservation, high efficiency, easy regulation of speed and high reliability are some the merits that promotes the increasing use of BLDC motor. Its current application is observed in almost all the sectors of industrial control. BLDC motor drivers are most widely used in motion control applications. With the increasing necessity of designing effective control strategy, the use of electronically commuted brushless DC motors is increasing rapidly in various industrial applications. For this purpose, cheap and efficient speed regulator is needed for the motor. Proper tuning of PID can also be one of the ways of controlling BLDCM. This paper adopts intelligent controlling technique for the reduction of torque ripple, settling time and overshoot through the use of MATLAB and SIMULINK.

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“…First-order kinetics model with lag phase P = a + b (1-e -c(t+L) ) Gompertz model P = a+b (K -K exp(-ct) /K -1) Generalised Mitscherlich model P = a +b (1 -e -c(t-L)-d(√t-√L) ) Nowadays, optimization methods are widely used in various sciences (Milani, Çavdar, & Aghjehkand, 2012;Çavdar, Mohammad, & Milani, 2013), an optimization method combining MATLAB curve fitting toolbox and the numerical algorithm based on the Levenberg-Marquardt method was used. The models were identified through the editor toolstript, and the starting points and ranges required for the models were defined.…”

Section: Mathematical Modeling With Matlabmentioning

confidence: 99%

Validation of in situ disappearance curves utilizing mathematical models for incubating fish meal and cottonseed mea

Palangi¹,

Besharati²

2020

Semina: Ciênc. Agrár.

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our mathematical models were used to describe the ruminal disappearance of dry matter (DM) and crude protein (CP) of fish meal and cottonseed meal. Results of DM degradability particularity showed that all the models fitted well (R2 > 0.95), however, considering that values below 0 or above 100 are not biologically justified in ruminal degradability, they are not acceptable. The models I and II were accepted to ruminal DM degradability of fish meal and cottonseed meal data. Only models I and II were successfully fitted to CP degradability of fish meal (R2 > 0.96), and the I, II and III models were acceptable to ruminal CP degradability of cottonseed meal (R2 > 0.98). In terms of effective degradability (ED) of DM and CP, model II generated higher values than other models. To appreciate fully the role of mathematical modelling in the biological sciences, it is necessary to consider the nature of feeds that evaluated and to review the types of models that may be constructed.

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Particle Swarm Optimization — Based determination of Ziegler-Nichols parameters for PID controller of brushless DC motors

Cited by 21 publications

References 11 publications

Application of Combinatorial Interaction Design for DC Servomotor PID Controller Tuning

Application of Combinatorial Interaction Design for DC Servomotor PID Controller Tuning

Application of Particle Swarm Optimization (PSO) Algorithm for PID Parameter Tuning in Speed Control of Brushless DC (BLDC) Motor

Validation of in situ disappearance curves utilizing mathematical models for incubating fish meal and cottonseed mea

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