Gas turbine engines are widely used as prime movers of generator and propulsion system in warships. This study addresses the problem of designing a DS-based PID controller for speed control of the LM-2500 gas turbine engine used for propulsion in warships. To this end, we first derive a dynamic model of the LM-2500 using actual sea trail data. Next, the PRC (process reaction curve) method is used to approximate the first-order plus time delay (FOPTD) model, and the DS-based PID controller design technique is proposed according to approximation of the time delay term. The proposed controller conducts set-point tracking simulation using MATLAB (2016b), and evaluates and compares the performance index with the existing control methods. As a result of simulation at each operating point, the proposed controller showed the smallest in , which means that the rpm does not change rapidly. In addition, IAE and IAC were also the smallest, showing the best result in error performance and controller effort.

Universal design is defined as the design process of products and environments usable by all people to the greatest extent possible, without the need for adaptation or specialized design. The benefits of universal design have been promoted primarily through illustrative ‘success stories’of public, residential and occupational environments and products. While case examples may be informative, they may unfortunately be limited in terms of generality to other designs or tasks. Therefore, design methods and criteria that can be applied systematically in a range of situations to encourage universal design are needed. In addition, the seven principles of universal design are intended to guide the design process. The principles provide a framework that allows a systematic evaluation of new or existing designs and assists in educating both designers and consumers about the characteristics of more usable products and environments. However, exactly how these principles are incorporated into the design process has beenleft up to the designer. Since the introduction of universal design, designers have become familiar with the principles of universal design, and they have developed many products based on universal design. However, the principles of universal design are qualitative, which means designers cannot quantitatively evaluate their designs. Some have worked to develop more systematic ways to evaluate products and environments by providing design guidelines for each of the principles. However, recommendations have not yet been made regarding how to integrate performance measures of universal design into the product design process before the product is mass produced. Furthermore, there are sets of requirements regarding each user group that has different age and ability. Consequently, there is an urgent need for design methods, based on a better understanding of age and ability related factors, which will lead to a universally designed product or environment. The authors have proposed the PSD (Preference Set-Based Design) method that can generate a ranged set of feasible solutions (i.e., robust and flexible solution set) instead of single point solution that satisfies changing sets of design targets. The objective of this paper is to develop a general method for systematically supporting the universal design process. This paper proposes the applicability of PSD method to universal design. Here, the proposed method is successfully illustrated with a universal design problem.

Various computer-based simulation tools such as 3D-CAD and CAE systems are widely used to design automotive body structure at the early phase of design. Designers must search the optimal solution that satisfies a number of performance requirements by usin

The design flexibility and robustness have become key factors to handle various sources of uncertainties at the early phase of design. Even though designers are uncertain about which single values to specify, they usually have a preference for certain val

The computer-based simulation tools are currently used overwhelmingly to simulate the performance of automotive designs. Then, the search for an optimal solution that satisfies a number of performance requirements usually involves numerous iterations amon

The early phase of design intrinsically contains multiple sources of uncertainty in describing design, and nevertheless the decision-making process at this phase exerts a critical effect upon drawing a successful design. This paper proposes a set-based de

산업의 발달로 인하여 플라스틱의 수요가 증가되고 있다. 산업현장과 가정에서 사용 후 배출되는 폐플라스틱은 많은 환경 문제를 야기 시키고 있으며, 이를 해결하기 위하여 적극적인 폐플라스틱 재활용 방안이 제안되고 있다. 폐플라스틱의 효율적으로 재활용하기 위해서는 재질별 선별이 이루어져야 하며, 재질별 선별을 위한 기술 개발은 지속적으로 이루어져 왔다. 최근에는 폐플라스틱의 재질별 선별에 근적외선분광법(NIR 선별기)가 가장 널리 사용되고 있으며, 우수한 재질 분류 성능을 보인다. 그러나 검정색 폐플라스틱의 경우 근적외선의 빛을 흡수하여 재질인식을 하지 못하는 단점을 가지고 있다. 본 연구에서는 이러한 근적외선분광법의 단점을 보완하기 위하여 분광기의 일종인 레이저유도플라즈마 분광기를 이용하여 검정색 플라스틱의 재질별 선별을 위하여, 플라스틱 고유의 스펙트럼을 획득한다. 분광기를 통해 얻어진 스펙트럼은 주성분분석법(Principal Component Analysis; PCA)을 이용하여 데이터 전처리(Preprocessing) 과정을 거친 후 입력 데이터를 얻는다. 데이터 전처리 과정을 통해 획득된 입력 데이터를 이용하여 플라스틱의 재질 인식을 위한 패턴 분류기로 퍼지집합 기반 신경회로망(Fuzzy-set based neural networks)을 이용한다. 퍼지 집합 기반 신경회로망은 퍼지 집합과 신경회로망의 장점을 결합한 퍼지 신경회로망의 일종으로 입력변수의 차원이 높은 경우에 좋은 성능을 보이는 신경회로망이다.