• Title/Summary/Keyword: optimum tuning

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Use of semi-active tuned mass dampers for vibration control of force-excited structures

  • Setareh, Mehdi
    • Structural Engineering and Mechanics
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    • v.11 no.4
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    • pp.341-356
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    • 2001
  • A new class of semi-active tuned mass dampers, named as "Ground Hook Tuned Mass Damper" (GHTMD) is introduced. This TMD uses a continuously variable semi-active damper (so called 'Ground-Hook') in order to achieve more reduction in the vibration level. The ground-hook dampers have been used in the auto-industry as a means of reducing the vibration of primary suspension systems in vehicles. This paper investigates the application of this damper as an element of a tuned damper for the vibration reduction of force-excited single degree of freedom (SDOF) models that can be representative of many structural systems. The optimum design parameters of GHTMDs are obtained based on the minimization of the steady-state displacement response of the main mass. The optimum design parameters which are evaluated in terms of non-dimensional values of the GHTMD are obtained for different mass ratios and main mass damping ratios. Using the frequency responses of the resulting systems, performance of the GHTMD is compared to that of equivalent passive TMD, and it is found that GHTMDs are more efficient. A design methodology to obtain the tuning parameters of GHTMD using the relationships developed in this paper is presented.

Optimum Design of Integer and Fractional-Order PID Controllers for Boost Converter Using SPEA Look-up Tables

  • Amirahmadi, Ahmadreza;Rafiei, Mohammadreza;Tehrani, Kambiz;Griva, Giovanni;Batarseh, Issa
    • Journal of Power Electronics
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    • v.15 no.1
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    • pp.160-176
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    • 2015
  • This paper presents a method of designing optimal integer- and fractional-order proportional-integral-derivative (FOPID) controllers for a boost converter to gain a set of favorable characteristics at various operating points. A Pareto-based multi-objective optimization approach called strength Pareto evolutionary algorithm (SPEA) is used to obtain fast and low overshoot start-up and dynamic responses and switching stability. The optimization approach generates a set of optimal gains called Pareto set, which corresponds to a Pareto front. The Pareto front is a set of optimal results for objective functions. These results provide designers with a trade-off look-up table, in which they can easily choose any of the optimal gains based on design requirements. The SPEA also overcomes the difficulties of tuning the FOPID controller, which is an extension to the classic integer-order PID controllers and potentially promises better results. The proposed optimized FOPID controller provides an excellent start-up response and the desired dynamic response. This paper presents a detailed comparison of the optimum integer- and the fractional-order PID controllers. Extensive simulation and experimental results prove the superiority of the proposed design methodology to achieve a wide set of desired technical goals.

Colliding bodies optimization for size and topology optimization of truss structures

  • Kaveh, A.;Mahdavi, V.R.
    • Structural Engineering and Mechanics
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    • v.53 no.5
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    • pp.847-865
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    • 2015
  • This paper presents the application of a recently developed meta-heuristic algorithm, called Colliding Bodies Optimization (CBO), for size and topology optimization of steel trusses. This method is based on the one-dimensional collisions between two bodies, where each agent solution is considered as a body. The performance of the proposed algorithm is investigated through four benchmark trusses for minimum weight with static and dynamic constraints. A comparison of the numerical results of the CBO with those of other available algorithms indicates that the proposed technique is capable of locating promising solutions using lesser or identical computational effort, with no need for internal parameter tuning.

Drive of Induction Motors Using a Pseudo-On-Line Fuzzy-PID Controller Based on Genetic Algorithm

  • Ahn, Taechon;Kwon, Yangwon;Kang, Haksoo
    • Transactions on Control, Automation and Systems Engineering
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    • v.2 no.2
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    • pp.85-91
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    • 2000
  • This paper proposes a novel method with pseudo-on-line scheme using the optimized look-up table based on the genetic algorithm which does not use the gradient and finds the global optimum of an un-constraint optimization problem. The technique is a pseudo-on-line method that optimally estimates the parameters of fuzzy PID(FPID) controller for systems with non-linearity, using the genetic algorithm. The proposed controller(GFPID) with the auto-tuning function is applied to the on-line and real-time control of speed at 3-phase induction motor, and its computer simulation is carried out. simulation results show that the proposed methodis more excellent that conventional FPID and PID controllers.

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Design of Multi-loop PID Controllers Based on the Generalized IMC-PID Method with Mp Criterion

  • Vu Truong Nguyen Luan;Lee Jie-Tae;Lee Moon-Yong
    • International Journal of Control, Automation, and Systems
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    • v.5 no.2
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    • pp.212-217
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    • 2007
  • A new method of designing multi-loop PID controllers is presented in this paper. By using the generalized IMC-PID method for multi-loop systems, the optimization problem involved in finding the PID parameters is efficiently simplified to find the optimum closed-loop time constant in a reduced search space. A weighted sum Mp criterion is proposed as a performance cost function to cope with both the performance and robustness of a multi-loop control system. Several illustrative examples are included to demonstrate the improved performance of the multi-loop PID controllers obtained by the proposed design method.

Optimum Tuning of a Modified IMC-PID Controller Considering Model Uncertainty (모델 불확실성을 고려한 변형된 IMC-PID 제어기의 최적 동조)

  • Kim, Chang-Hyun;Lim, Dong-Kyun;Suh, Byung-Suhl
    • Proceedings of the KAIS Fall Conference
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    • 2006.05a
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    • pp.348-351
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    • 2006
  • This paper proposes a modified IMC-PID controller that introduces controlling factor of the system identification to the standard IMC-PID controller in order to meet the design specifications such as gain, phase margin and maximum magnitude of sensitivity function in the frequency domain as well as the design specifications in time domain, settling, rising time and overshoot, and so on.

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Improvement of aeroelastic stability of hingeless helicopter rotor blade by passive piezoelectric damping

  • Yun, Chul-Yong;Kim, Seung-Jo
    • International Journal of Aeronautical and Space Sciences
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    • v.7 no.1
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    • pp.54-64
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    • 2006
  • To augment weakly damped lag mode stability of a hingeless helicopter rotor blade in hover, piezoelectric shunt with a resistor and an inductor circuits for passive damping has been studied. A shunted piezoceramics bonded to a flexure of rotor blade converts mechanical strain energy to electrical charge energy which is dissipated through the resistor in the R-L series shunt circuit. Because the fundamental lag mode frequency of a soft-in-plane hingeless helicopter rotor blade is generally about 0.7/rev, the design frequency of the blade system with flexure sets to be so. Experimentally, the measured lag mode frequency is 0.7227/rev under the short circuit condition. Therefore the suppression mode of this passive damping vibration absorber is adjusted to 0.7227/rev. As a result of damping enhancement using passive control, the passive damper which consists of a piezoelectric material and shunt circuits has a stabilizing effect on inherently weakly damped lag mode of the rotor blades, at the optimum tuning and resistor condition.

Optimum Tuning of Current Controller for Grid-connected Inverter under the Distorted Voltage Condition in Distribution System (배전계통 전압왜곡 하에서의 연계인버터 전류제어기의 최적조정)

  • Ahn, Jong-Bo;Hwang, Ki-Hyun;Park, June-Ho
    • Proceedings of the KIPE Conference
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    • 2005.07a
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    • pp.532-534
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    • 2005
  • 본 논문은 신${\cdot}$재생에너지원을 이용한 분산전원용 계통연계 인버터의 전류고조파저감에 관한 연구로서 전류고조파는 진력풍질 측면에서 중요한 요소 중의 하나이나 전원전압의 불평형, 왜곡 및 부적절한 전류제어기의 조정 등의 원인으로 인하여 이런 목적의 달성이 어렵게 된다. 전류제어기법 중에는 동기좌표게 상에서 동작하는 전향보상부 PI 제어기가 일반적으로 사용되고 있으며 본 논문에서는 전원전압 왜곡 하에서 전류제어기 이득과 전류고조파의 관계를 분석하고 Particle Swarm Optimization(PSO) 알고리즘을 이용하여 PI 제어기를 최적 조정하는 방법을 제안하였으며 모의시험과 적용실험을 통하여 그 유용성을 입증하였다.

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Dynamic Voltage and Frequency Scaling for Power-Constrained Design using Process Voltage and Temperature Sensor Circuits

  • Nan, Haiqing;Kim, Kyung-Ki;Wang, Wei;Choi, Ken
    • Journal of Information Processing Systems
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    • v.7 no.1
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    • pp.93-102
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    • 2011
  • In deeply scaled CMOS technologies, two major non-ideal factors are threatening the survival of the CMOS; i) PVT (process, voltage, and temperature) variations and ii) leakage power consumption. In this paper, we propose a novel post-silicon tuning methodology to scale optimum voltage and frequency "dynamically". The proposed design technique will use our PVT sensor circuits to monitor the variations and based on the monitored variation data, voltage and frequency will be compensated "automatically". During the compensation process, supply voltage is dynamically adjusted to guarantee the minimum total power consumption without violating the frequency requirement. The simulation results show that the proposed technique can reduce the total power by 85% and the static power by 53% on average for the selected ISCAS'85 benchmark circuits with 45 nm CMOS technology compared to the results of the traditional PVT compensation method.

Optimization of the fuzzy model using the clustering and hybrid algorithms (클러스터링 및 하이브리드 알고리즘을 이용한 퍼지모델의 최적화)

  • Park, Byoung-Jun;Yoon, Ki-Chan;Oh, Sung-Kwun;Jang, Seong-Whan
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.2908-2910
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    • 1999
  • In this paper, a fuzzy model is identified and optimized using the hybrid algorithm and HCM clustering method. Here, the hybrid algorithm is carried out as the structure combined with both a genetic algorithm and the improved complex method. The one is utilized for determining the initial parameters of membership function, the other for obtaining the fine parameters of membership function. HCM clustering algorithm is used to determine the confined region of initial parameters and also to avoid overflow phenomenon during auto-tuning of hybrid algorithm. And the standard least square method is used for the identification of optimum consequence parameters of fuzzy model. Two numerical examples are shown to evaluate the performance of the proposed model.

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