Design of robust PI control systems based on sensitivity analysis and genetic algorithms

Perng, Jau-Woei; Hsieh, Shan-Chang; Ma, Li-Shan; Chen, Guan-Yan

doi:10.1007/s00521-016-2506-2

Cited by 12 publications

(3 citation statements)

References 19 publications

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“…However, depending on the availability and proper application of expert knowledge, design of FLSs may be tiresome, time-consuming, and even impossible at worst. By imitating the principles of genetics and natural selection, genetic algorithm (GA) is given major roles in a vast number of applications [29,[33][34][35][36][37][38][39][40][41][42]. Due to the above-said tribulations in FLS design, GA can be used as an effective means to take over the mission by formulating the problem as an optimization problem.…”

Section: Generation Of Current Reference Waveforms Using Ga-optimized Flementioning

confidence: 99%

Commutation current ripple minimization of brushless DC motor drive based on programmed phase current references

Çelik

Öztürk

2021

Electr Eng

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Although direct phase current control of brushless DC motor prevents commutation current ripple at low speed, it occurs at high speed which has not received the deserved attention in the literature. Dealing with this current ripple is of practical significance because commutation becomes more influential for high speeds as its duration and the current ripple's amplitude increase with speed. This paper concerns with the successful application of a fuzzy logic estimator (FLE) as an expert control technique to minimize the so-called current ripple profitably. Phase current reference waveforms are programmed as a function of commanded current, angular position, and commutation angle which is adjusted online by the developed FLE as per the motor working condition. The presented approach renders the current references with changing but equal slopes during commutation to keep the other phase current constant at all times. A genetic algorithm is also deployed to optimize the FLE's rule table. Unlike the reported researches, this study does not require calculating commutation time, and use of torque observer and/or commutation detection circuits. The acceptability of our proposal is widely illustrated by simulated and experimental results using DSP TMS320F28335, which signifies that prolific performance toward commutation current ripple minimization is achieved.

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Section: Generation Of Current Reference Waveforms Using Ga-optimized Flementioning

confidence: 99%

Commutation current ripple minimization of brushless DC motor drive based on programmed phase current references

Çelik

Öztürk

2021

Electr Eng

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“…The process of minimizing the fitness function or called (cost function) of the GA is executed using crossover, mutation and selection to find the best values of the PID parameters [30]. The fitness function has been determined in this paper, by using the Integral of the Absolute value of the Error (IAE) performance index, which is defined in Equation 9 [31].All the integral performance indices have been benchmarked and compared to the DTS in [23]. IAE has shown better performance results compared to the ISE and ITAE for tuning the PID controller.…”

Section: Pid-controller Designmentioning

confidence: 99%

Real-Time Model Predictive Control of an Industrial Internet Platform

Younis

Moness

Moustafa

2021

Journal of Advanced Engineering Trends

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“…The H 1 theory and constrained artificial bee colony algorithm have been used for tuning the PID controller (Bijani and Khosravi, 2018). Sensitivity analysis and genetic algorithm have been used to design PI controllers for some high-order physical plants (Perng et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Parametric optimization-based design of PI controllers: application to a DC servomechanism

Tabatabaei

2019

WJE

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Purpose This paper aims to propose an analytical method for designing parametric optimization-based proportional integral (PI) controllers. Design/methodology/approach In this method, a performance index containing the weighted summation of the integral square of the error and its derivative is minimized. This performance index is analytically calculated in terms of the controller parameters by solving a Lyapunov equation. Then partial derivatives of the performance index with respect to controller parameters are calculated. Equating these partial derivatives to zero gives explicit relations for the PI controller parameters. Findings The experimental tests on a DC servomotor system are given to demonstrate the efficiency of the proposed method. Originality/value This paper proposes an analytical parametric optimization approach for designing PI controllers for the first time. The application of the proposed method in a laboratory experiment is examined.

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Design of robust PI control systems based on sensitivity analysis and genetic algorithms

Cited by 12 publications

References 19 publications

Commutation current ripple minimization of brushless DC motor drive based on programmed phase current references

Commutation current ripple minimization of brushless DC motor drive based on programmed phase current references

Real-Time Model Predictive Control of an Industrial Internet Platform

Parametric optimization-based design of PI controllers: application to a DC servomechanism

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