• 제목/요약/키워드: Genetic stability

검색결과 393건 처리시간 0.025초

안정도 판별법과 유전자 알고리즘에 의한 PI 제어기 설계 (PI controller design by stability criterion and Genetic algorithm)

  • 조준호;최정내;이원혁;황형수;박민정
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 하계학술대회 논문집 D
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    • pp.2230-2232
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    • 2003
  • One of the important problems in a control system design is the requirement that the system should have adequate relative stability. In this paper, We proposed a tuning algorithm PI controller for first order plus dead time system. It is determined the domain of the PI control parameters by Routh - Hurwitz criterion, and we tune parameters of the PI controller using genetic algorithm. A numerical example is also given to illustrate the method.

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허리 관절을 갖는 4족 로봇의 GA 기반 경사면 보행방법 (GA Based Locomotion Method for Quadruped Robot with Waist Joint to Walk on the Slop)

  • 최윤호;김동섭;김국화
    • 한국전자통신학회논문지
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    • 제8권11호
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    • pp.1665-1674
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    • 2013
  • 본 논문에서는 허리 관절을 갖는 4족 로봇의 효율적인 경사면 보행을 위해 유전 알고리듬(Genetic Algorithm: GA)을 이용한 경사면 보행 방법을 제안한다. 제안한 방법에서는 먼저, 허리 관절을 갖는 4족 로봇의 기구학적 모델을 유도하며, GA를 수행하기 위한 유전자 및 적합도 함수를 설정한다. 또한, 경사면에서 최적의 에너지 안정여유도(Energy Stability Margin: ESM)를 갖는 4족 로봇의 자세와 도달 영역 내의 발끝 착지 지점을 GA를 이용하여 자동으로 탐색하여 보행한다. 마지막으로, 4족 보행 로봇의 모의 실험을 통해 기존 방법과 비교함으로써 본 논문에서 제안한 방법의 효용성을 검증한다.

2자유도 보상법에 의한 직류서보전동기의 강인한 속도제어시스템 구현 (Implementation of the robust speed control system for DC servo motor using TDF compensator method)

  • 김동완
    • 전기학회논문지P
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    • 제52권2호
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    • pp.74-80
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    • 2003
  • In this paper, a robust two-degree-of-freedom(TDF) the speed control system using $H_{\infty}$ optimization method and real genetic algorithm is proposed for the robust stability and the robust performance in dc servo motor system. This control system composed of feedback and feedforward controller. The feedback(FB) controller with $H_{\infty}$ optimization method is designed for real genetic algorithm that is model matching problem using mixed sensitivity function. The feedforward(FF) controller with $H_{\infty}$optimization method is minimized the error between transfer function of the optimal model and the overall transfer function. The proposed robust two-degree-of-freedom speed control system is simulated to the dc servo motor. By the simulation, feedback controller can obtain the robust stability property and feedforward controller can obtain the robust performance property under modelling error. The performance of the dc servo motor is analyzed by the experiment setting. The validity of the proposed method is verified through being compared with pid(proportional integrated differential)control system design method for the dc servo motor.

Glucoamylase 유전자 STA1이 포함된 재조합 Plasmid를 갖는 Saccharomyces diastaticus 의 Glucoamylase 생산성에 미치는 Plasmid 안정성의 영향 (Effect of Plasmid Stability on the Glucoamylase Productivity of Saccharomyces diastaticus Harboring Recombinant Plasmid Containing Glucoamylase Gene STA 1)

  • Ahn, Jong-Seog;Hwang, In-Kyu;Jeong, Min-Sun;Mheen, Tae-Ick
    • 한국미생물·생명공학회지
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    • 제17권6호
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    • pp.606-610
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    • 1989
  • 전분질의 에탄을 직접발효에 유용한 Saccharomyces diastaticus의 glucoamylase 생산성 향상을 위하여 glucoamylase 유전자 STA1을 함유한 재조합 plasmid pYES 18을 갖는 S. diastaticus의 형질전환 균주에서 성장속도가 plasmid의 안정성에 미치는 영향과 plasmid 안정성에 따른 glucoamylase 생산성을 조사하였다. 최소 선택배지에서는 plasmid가 일정한 수준에서 안정하게 유지되었으나, 균체의 증식과 glucoamylase 생산성은 매우 미약하였다. Starch가 포함된 완전배지에서는 glucose를 첨가해 줌으로써 생육속도를 촉진시킬 수 있었으며 생육속도의 촉진에 의해 plasmid 안정성이 증가되었고 이에 따라 glucoamylase 생산성이 향상됨을 알았다.

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4 족보행 로봇의 갤로핑 궤적의 최적화 (Trajectory optimization for galloping quadruped robots)

  • 채기주;박종현
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회A
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    • pp.831-836
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    • 2007
  • This paper proposes an optimal galloping trajectory which costs low energy and guarantees the stability of the quadruped robot. In the realization of the fast galloping, the trajectory design is important. As a galloping trajectory, we propose an elliptic leg trajectory, which provides simplified locomotion to complex galloping motions of animals. However, the elliptic trajectory, as an imitation of animal galloping motion, does not guarantee stability and minimal energy consumption. We propose optimization based on the energy and stability using a genetic algorithm, which provides the robust and global solution to a multi-body, highly nonlinear dynamic system. To evaluate and verify the effectiveness of the proposed trajectory, computer simulations were carried out.

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유전자 알고리즘을 이용한 복합재료 곡면날개의 플러터 최적화 (Flutter Optimization of Composite Curved Wing Using Genetic Algorithms)

  • 알렉산더 바비;김동현;이정진
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 춘계학술대회논문집
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    • pp.696-702
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    • 2006
  • Flutter characteristics of composite curved wing were investigated in this study. The efficient and robust system for the flutter optimization of general composite curved wing models has been developed using the coupled computational method based on both the standard genetic algorithm and the micro genetic algorithms. Micro genetic algorithm is used as an alternative method to overcome the relatively poor exploitation characteristics of the standard genetic algorithm. The present results show that the micro genetic algorithm is more efficient in order to find optimized lay-ups for a composite curved wing model. It is found that the flutter stability of curved wing model can be significantly increased using composite materials with proper optimum lamination design when compared to the case of isotropic wing model under the same weight condition.

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지능 알고리즘 기반의 이족 보행로봇의 보행 구현 (A Gait Implementation of a Biped Robot Based on Intelligent Algorithm)

  • 강찬수;김진걸;노경곤
    • 제어로봇시스템학회논문지
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    • 제10권12호
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    • pp.1210-1216
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    • 2004
  • This paper deals with a human-like gait generation of a biped robot with a balancing weight of an inverted pendulum type by using genetic algorithm. The ZMP (Zero Moment Point) is the most important index in a biped robot's dynamic walking stability. To perform a stable walking of a biped robot, a balancing motion is required according to legs' trajectories and a desired ZMP trajectory. A dynamic equation of the balancing motion is nonlinear due to an inverted pendulum type's balancing weight. To solve the nonlinear equation by the FDM (Finite Difference Method), a linearized model of equation is proposed. And GA (Genetic Algorithm) is applied to optimize a human-like balancing motion of a biped robot. By genetic algorithm, the index of the balancing motion is efficiently optimized, and a dynamic walking stability is verified by the ZMP verification equation. These balancing motion are simulated and experimented with a real biped robot IWR-IV. This human-like gait generation will be applied to a humanoid robot, at future work.

유전알고리듬을 이용한 비균일 하중을 받는 구조물의 지지위치 최적화 연구 (A Study on the Supporting Location Optimization a Structure Under Non-Uniform Load Using Genetic Algorithm)

  • 이영신;박주식;김근홍
    • 대한기계학회논문집A
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    • 제28권10호
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    • pp.1558-1565
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    • 2004
  • It is important to determine supporting locations for structural stability when a structure is loaded with non-uniform load or supporting locations as well as the number of the supporting structures are restricted by the problem of space. Moreover, the supporting location optimization of complex structure in real world is frequently faced with discontinuous design space. Therefore, the traditional optimization methods based on derivative are not suitable Whereas, Genetic Algorithm (CA) based on stochastic search technique is a very robust and general method. The KSTAR in-vessel control coil installed in vacuum vessel is loaded with non- uniform electro-magnetic load and supporting locations are restricted by the problem of space. This paper shows the supporting location optimization for structural stability of the in-vessel control coil. Optimization has been performed by means of a developed program. It consists of a Finite Element Analysis interfaced with a Genetic Algorithm. In addition, this paper presents an algorithm to find an optimum solution in discontinuous space using continuous design variables.

유전 알고리즘을 이용한 4족 로봇의 계단 보행 방법 (Stair Locomotion Method of Quadruped Robot Using Genetic Algorithm)

  • 변재오;최윤호
    • 한국전자통신학회논문지
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    • 제10권9호
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    • pp.1039-1048
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    • 2015
  • 본 논문에서는 곤충형 다리 구조를 갖는 4족 로봇의 효율적인 계단 보행을 위해 유전 알고리즘(Genetic Algorithm: GA)에 기반한 계단 보행 방법을 제안한다. 제안한 방법에서는 우선 계단 보행을 위한 요소와 도달 영역을 정의한다. 또한 GA 수행을 위한 유전자와 적합도 함수를 설정하고, GA를 이용하여 최소 이동 거리와 최적 에너지 안정도 여유(Energy Stability Margin: ESM)을 갖는 4족 로봇의 착지 지점을 탐색하여 걸음새 궤적을 생성한다. 마지막으로, 컴퓨터 시뮬레이션을 통해 본 논문에서 제안한 계단 보행 방법의 효용성 및 우수성을 검증한다.

Application of sweet and taste modifying genes for development in plants: current status and prospects

  • Akter, Shahina;Huq, Md. Amdadul;Jung, Yu-Jin;Cho, Yong-Gu;Kang, Kwon-Kyoo
    • Journal of Plant Biotechnology
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    • 제43권4호
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    • pp.397-404
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    • 2016
  • Sweet and taste modifying proteins are natural alternatives to synthetic sweeteners and flavor enhancers, and have been used for centuries in different countries. Use of these proteins is limited due to less stability and availability. However, recent advances in biotechnology have enhanced their availability. These include production of sweet and taste modifying proteins in transgenic organisms, and protein engineering to improve their stability. Their increased availability in the food, beverage or medicinal industries as sweeteners and flavor enhancers will reduce the dependence on artificial alternatives. Production of transgenic plants using sweet and taste modifying genes, is an interesting alternative to the extraction of these products from natural source. In this review paper, we briefly describe various sweet and taste modifying proteins (such as thaumatin, monellin, brazzein, curculin and miraculin), their properties, and their application for plant development using biotechnological approaches.