Intelligent Design Method Research Articles

Research on the Intelligent Design of the Multidimensional Form of a Product under a Brand Cobweb Constraint

Based on the cobweb theory and bee evolutionary genetic algorithm (BEGA), a multidimensional style intelligent design method is proposed to inherit the brand characteristics and obtain a multidimensional product style during the design process. Cobweb theory is used to characterise the multidimensional development of product genealogy, analyse the product morphological evolution mechanism of past generations, and distinguish morphological genes. The efficient inheritance of the BEGA guarantees the selection, crossover and mutation of genetic features. Based on the cobweb model of a certain brand of tractors, different morphological gene types were distinguished. With a human-computer evaluation, a constraint model that reflects the brand culture and consumer personality requirements was constructed. The BEGA was used to establish a multidimensional style intelligent design method for a certain brand. A tractor is used as an example to explain the process, and a set of experiments are used to verify the feasibility and effectiveness of the method.

Optimizing Road Gradients Regarding Earthwork Cost, Fuel Cost, and Tank-to-Wheel Emissions

AbstractEmissions reduction has emerged as one of the principal targets in the planning and designing of road alignment today, and intelligent design methods can help optimize road alignment as a r...

Multiobjective Intelligent Cooperative Design for the Multilayer Interference Fit

Interference fit has extensively been applied in different mechanical fields due to its advantages such as compactness and high rigidity. With the actual needs of engineering, the multilayer interference fit has also been widely used. It is significant for the design and manufacture of multilayer interference fit to consider stress concentration problem and achieve multiobjective and multivariable collaborative optimization in the optimization algorithm. To achieve this goal, the mechanical model and reliability mathematical model of the multilayer interference fit are established. Giving an evaluation method of reliability, the recommended range of interference amount is obtained. Considering the lightweight design and stress concentration problems, a multiobjective intelligent cooperative design (MOICD) method for the multilayer interference fit is proposed, and multiparameter analysis is done. Taking the typical wind turbine’s shrink disk of three-layer interference fit structure as an application example, the key design parameters of the shrink disk are determined, and its sample data are obtained using the orthogonal experimental method. Considering yield strength, torque, and mass, the approximate mathematical model of response surface using the Kriging algorithm is given. Nondominated sorting genetic algorithm-II (NSGA-II) is selected as the optimal algorithm to realize MOICD of the shrink disk. Numerical analysis and analytical calculation proved that the optimization index of the MOICD method is improved compared with the traditional method. The sample is tested on a specific test bench, and the test results meet the design requirements, which verifies the feasibility of MOICD.

An intelligent design method for actuation system architecture optimization for more electrical aircraft

The design of flight control actuation system is facing major challenge due to the development of more electrical aircraft. The task is to find the combinations of power sources, actuators and computers, which becomes more complex because of the new power sources and actuator types of more electrical aircraft. It is impossible to determine optimal architecture by traditional trial-and-error method within acceptable time. Therefore, the need for new methodology for actuation system architecture design emerges. This study proposes an intelligent design method which has steps of design space exploration of actuation system architectures by constraint satisfaction problem (CSP) method, safety assessment process to exclude unsafety solution, multi-objectives optimization to get Pareto optimal front and comprehensive decision for final architecture via analytic hierarchy process. And the design method is implemented in python and a software platform is developed. Furthermore, within the paper a case study for A350 flight control actuation system is presented to testify the application of this methodology. Compared to the traditional hydraulic architecture, the optimal architecture is more competitive in weight, power and cost. At the same time, the optimal architecture is found in less than 30 minutes among 1075 candidates, which greatly reduces the design cycle. This method deals with the problem in the design of flight control actuation system.

Crowdsourcing intelligent design

Design intelligence, namely, artificial intelligence to solve creative problems and produce creative ideas, has improved rapidly with the new generation artificial intelligence. However, existing methods are more skillful in learning from data and have limitations in creating original ideas different from the training data. Crowdsourcing offers a promising method to produce creative designs by combining human inspiration and machines’ computational ability. We propose a crowdsourcing intelligent design method called ‘flexible crowdsourcing design’. Design ideas produced through crowdsourcing design can be unreliable and inconsistent because they rely solely on selection among participants’ submissions of ideas. In contrast, the flexible crowdsourcing design method employs a cultivation procedure that integrates the ideas from crowd participants and cultivates these ideas to improve design quality at the same time. We introduce a series of studies to show how flexible crowdsourcing design can produce original design ideas consistently. Specifically, we will describe the typical procedure of flexible crowdsourcing design, the refined crowdsourcing tasks, the factors that affect the idea development process, the method for calculating idea development potential, and two applications of the flexible crowdsourcing design method. Finally, it summarizes the design capabilities enabled by crowdsourcing intelligent design. This method enhances the performance of crowdsourcing design and supports the development of design intelligence.

Research of Intersection Navigation Algorithm Based on Intelligent Agent

In order to improve the vehicle alone path finding way, put forward a kind of road navigation algorithm based on agent. First put forward the intelligent design method, and then the intelligent design is mapped to different kinds of the intelligent agents. And then expounds the function of operation control agent, agent, Lane agent and intersection agent needs to realize. Finally, based on these agents of the navigation algorithm is designed using Dijkstra algorithm.

Remote Control Switch Socket for Intelligent Home Based on Wifi and PLC

Aiming at the applications of smart home, a novel intelligent remote control switch socket based on Wifi and PLC technologies was described and designed to replace the traditional wired sppliances.The intelligent remote control switch socket using Wifi and PLC communication technologies, compared to the existing technology solutions, which has the advantages of more flexible networking, low cost, easy to implement and promotion, etc..It will provide an intelligent switch socket design idea and method for the development and promotion of smart home system .

The Study and Application of Improved Micro-Genetic Algorithm Based on Cauchy Mutation

Genetic algorithm is the intelligent optimization design method, but its calculation workload is great and its convergence is slowly. This paper presents an improved micro-genetic algorithm (referred to as μGA-BLX) to overcome the shortcomings. The μGA-BLX algorithm uses the BLX-α operator to enhance the search ability of the algorithm in crossover; the mutation introduced on the Cauchy mutation operator to enhance the population's variety and the explore ability of algorithm. It shows the validity of the algorithm through the planet gear transmission optimization results.

An intelligent fixture design method based on smart modular fixture unit

Fixture is an important assisting resource for manufacturing. Its design is under the combined influence of workpiece, machining methods, material performances, etc. and demands rich experience of the designer, which leads to significant increase in design cycle and costs. This paper researches on a new automatic fixture design methodology based on inheriting and reusing design knowledge. Traditional fixture model is changed to smart fixture model, which is not only a geometric model but also appending geometric knowledge, process planning knowledge, and performance knowledge. On the other hand, the ontology of workpiece’s machining requirement is established for driving smart fixture automatically. Based on the above ontology, the self-selection reasoning method is proposed, for machining planner, which can push unit selection scope and drive its size actively. To drive fixture unit assembly automatically, the self-assembly reasoning method is proposed according to typical feature’s assembly mode. By these ways, the geometric consistency among units as well as unit/workpiece is maintained. In the end, design efficiency and quality is expected to be improved more automatically.

A Multi-Body Kinetics Intelligent Simulation Based Design Method for Hydraulic Support

Hydraulic support is important supporting equipment in fully mechanized coal mining. Its working performance and efficiency have relatively big effect for the efficiency of coal mining. Aiming at the characteristics of dynamic requirements, parametric design and simulation analysis of the hydraulic support, a multi-body kinetics based hydraulic support intelligent simulation design and analysis method is proposed. The three dimensional model of the support is set up with Solidworks, and then the 3D modeling is converted to ADAMS software for motion simulation. Some key components in the model are imported to ANSYS software to perform the finite element analysis to acquiring the optimized design variables.

Overview of Intelligent Design on Mold

Applying Artificial Intelligence technology on mold design can help realize the design automation of mold. Because knowledge-based engineering is an effective intelligent design method, the paper systematically introduced the application and development of knowledge representation, knowledge reasoning, knowledge acquisition and other key technologies of knowledge engineering technology used in mold design field. Finally, the development tendency of mold design based on artificial intelligence was analyzed in detail

Overview of Intelligent Design on Mold

Applying Artificial Intelligence technology on mold design can help realize the design automation of mold. Because knowledge-based engineering is an effective intelligent design method, the paper systematically introduced the application and development of knowledge representation, knowledge reasoning, knowledge acquisition and other key technologies of knowledge engineering technology used in mold design field. Finally, the development tendency of mold design based on artificial intelligence was analyzed in detail

A Novel Intelligent Design Method of FIR Filter based on Prior Orientation and Convex Enabled

A Novel Intelligent Design Method of FIR Filter based on Prior Orientation and Convex Enabled

Special Issue on Human Symbiotic System

With opportunities for human beings to coexist with artificial agents and autonomous robots are increasing, high-level interactive communication between them is increasingly needed. These human symbiotic systems are used for research on basic intelligent interaction design principles and methods and bidirectional communication based on effective collaboration and symbiosis between human beings and robots, agents, and computers, also known as artifacts. The research society on gHuman Symbiotic System (HSS)h was implemented by the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) in 2007. The HSS encourages academic and industrial discussion of research on Human-Agent Interaction (HAI), Human-Robot Interaction (HRI), and Human-Computer Interaction (HCI). The objective of this special issue is to activate and expand top-quality research of HSS theory and applications. Reflecting the fact that this research covers a wide range of topics, we invited researchers from fields including intelligent robotics, human-machine interfaces, and Kansei engineering to contribute. This issue thus provides much of the latest practical research on HSS, introduced by core members of the research society. Of the 22 papers received, 14 were accepted after input from two reviewers each. The first paper, by Y. Tamura et al., presents an attentive deskwork support system that delivers required items objects to deskworkers. The second, by H. Masuta et al., discusses an integrated perceptual system for intelligent service robots. The third, by S. Akiguchi, develops an automatic pattern generation system based on user impression. The fourth, by Y. Jiang et al., deals with a novel interface recognizing directional user intent based on forearm pressure exerted by the user of an omnidirectional walker. The fifth paper, by K. Terabayashi et al., investigates effects of preoperation on the experience of hands of different sizes by classifying preoperations based on the hand/object relationship. The sixth, by Y. Tamura et al., proposes segmenting a performerfs body imitating behavior observed based on a system from which values are obtained by reinforcement learning. The seventh, by D. Katagami et al., discusses group-adaptive behavior based on utterance contents and social standing of a robot. The eighth, by H. Yamaguchi et al., presents a system for using discounted utterances in spontaneous conversations applying text-mining technology. The ninth paper, by A. Otaki et al., focuses on the development of human negotiation skill through interaction between human players and computer agents in bargaining games. The tenth, by D. Katagami et al., is also related to human negotiation skill implementing human gestures in negotiation scenarios for three negotiation agents. The eleventh, by R. Taki et al., realizes interactive emotion communication - bidirectional communication based on emotional behavior between human beings and robots. The twelfth, by J. Ichino et al., investigates the psychological effects of color on online documents through a proposed online document interface. The thirteenth paper, by T. Ando et al., studies the robot facial effectiveness in human interpretation. The fourteenth, by T. Ando et al., models robot self-sufficiency applying an urge system focusing on autonomous emotion. This issue has addressed the importance of HSS and highlighted innovative approaches to the development of artificial system more friendly to users. We thank the authors and referees for their ongoing efforts, without which this issue would not have been possible.

유전알고리즘을 이용한 비선형 시스템의 지능형 퍼지 제어기 설계

본 논문은 비선형 시스템의 새로운 퍼지 제어기 설계 기법을 제안한다. 기존의 퍼지 제어기 설계 방법들은 안정도 조건을 만족시키는 제어 이득을 얻기 위해 수학적인 접근을 통해 해를 찾는 방법들이 많이 연구되었다 하지만 플랜트와 제어 방법에 따라 이러한 수학적인 접근이 힘든 경우가 있다 본 논문에서는 이를 해결하기 위해 깊은 수학적인 접근이 아닌 지능적인 접근 방법을 사용하여 안정화된 퍼지 제어기의 설계하는 기법을 제안한다. 제안된 기법은 퍼지 제어기의 안정화 조건을 만족시키는 제어 이득을 전략 기반 유전 알고리즘을 사용하여 동정한다 전략 기반 유전 알고리즘은 제어기의 안정화 조건을 만족시키는 해를 찾기 위해 전략적으로 교차와 돌연변이를 변화시킨다. 전력 기반 유전 알고리즘은 제어기의 안정화 조건을 만족시키는 해를 찾기 위해 전략적으로 교차와 돌연변이 영역을 변화시킴으로서 빠르게 해를 찾는다. 최종적으로 모의 실험을 통해 제안된 기법의 우수성을 확인하였다. This paper presents the new design method of fuzzy control system for nonlinear system. Many conventional design methods for fuzzy controller find the control gain for stabilizing fuzzy controller with some mathematical approaches. However, there exist some controllers which are hard to design with mathematical approach. In order to solve these problems, we propose the intelligent design method for fuzzy controller by using genetic algorithm with evolution strategy. The genetic algorithm with evolution strategy finds the control gain by changing the evolution region of chromosome. Finally, an application example of stabilizing a cart-pole typed inverted pendulum system will be given to show the stabilizability of the fuzzy controller.

Design of PID controller with incomplete derivation based on ant system algorithm

A new and intelligent design method for PID controller with incomplete derivation is proposed based on the ant system algorithm ( ASA) . For a given control system with this kind of PID controller, a group of optimal PID controller parameters Kp* , Ti*, and Td* can be obtained by taking the overshoot, settling time, and steady-state error of the system's unit step response as the performance indexes and by use of our improved ant system algorithm. Kp* , Ti*, and Td* can be used in real-time control. This kind of controller is called the ASA-PID controller with incomplete derivation. To verify the performance of the ASA-PID controller, three different typical transfer functions were tested, and three existing typical tuning methods of PID controller parameters, including the Ziegler-Nichols method (ZN),the genetic algorithm (GA),and the simulated annealing (SA), were adopted for comparison. The simulation results showed that the ASA-PID controller can be used to control different objects and has better performance compared with the ZN-PID and GA-PID controllers, and comparable performance compared with the SA-PID controller.