Wenbin Zhang, Chengliang Zhang, Wenbin Li, Lei Li, Jun Zhou
{"title":"Design of Intelligent Agricultural Greenhouse Control System Based on Single-chip Microcomputer","authors":"Wenbin Zhang, Chengliang Zhang, Wenbin Li, Lei Li, Jun Zhou","doi":"10.1109/ICCAR49639.2020.9108043","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108043","url":null,"abstract":"Science and technology can play a positive role in agricultural production, the most representative of which is the new intelligent system of agricultural greenhouses. The new intelligent agricultural greenhouse system uses automatic control such as the Internet of Things big data to optimize the crop growth environment. This article designed a set of an intelligent agricultural greenhouse control system, the system automatically detects the light intensity, soil humidity, air temperature, and humidity, carbon dioxide value, etc., through single-chip data processing, adjust the execution unit so that the parameters in the greenhouse are always kept under conditions suitable for plant growth. In this paper, the intelligent agricultural greenhouse control program is written in C language. This program collects environmental parameters in the greenhouse through sensors and then judges each value through a single-chip microcomputer. Then it controls the execution unit to keep the environment under conditions suitable for plant growth, and achieve temperature control of ± 2°C, humidity ± 5% RH.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114662539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A New Adaptive Fuzzy Neural Networks Control Using Riccati-Like Equation for Controlling of Magnetorheological Fluid Device","authors":"D. Phu, Phan Huu Thanh Tu","doi":"10.1109/ICCAR49639.2020.9108098","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108098","url":null,"abstract":"A new proposed control based on the modified Riccati-like equation is developed in this study. The interval type 2 fuzzy model is applied and embedded in the controller for control the uncertainty and also support for calculation progress of the proposed control. To design of the control, the first sliding surface based on the conventional model is established and its elements using for combine with the other elements of the Riccati-like equation. The main input control includes equivalent control and robustness control. The equivalent control is found from the conventional analysis with the first sliding surface. However, the equivalence control is not sufficient for control the internal disturbance such as error approximation of the fuzzy model. Then the robustness control is designed including three components of PID control and matrices of the traditional model of Riccati equation. This approach has relation with the H infinity technique. Hence, the stability of the system is proved following the technique through the Lyapunov function. Model of the proposed control is evaluated by applying to the seat suspension system. In the suspension, a magneto-rheological (MR in short) damper with its stiffness following the variation of applied current is used. The main input control is applied to change the value of the applied current. Belong to the magnitude of vibration, the current is also changed. The results of simulation of the proposed control are shown that the proposed control is better for control real system.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128654572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Portable Keyword Spotting and Sound Source Detection System Design on Mobile Robot with Mini Microphone Array","authors":"Muhammad Bagus Andra, T. Usagawa","doi":"10.1109/ICCAR49639.2020.9108086","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108086","url":null,"abstract":"The capability of locating sound source and detecting speech has been an essential feature in the robot auditory that enables it to and interact with human and perform sophisticated tasks. Recent development of mini microphone array has made robot audition much more accessible and offer a flexible platform to build a robot hearing system. This research proposes a keyword spotting and sound source detection system that is built on ReSpeaker Core v2.0 microphone array. We use Frequency Domain Binaural Model (FDBM) to detect the Direction of Arrival (DOA) of the sound source and estimate the distance of the sound source by taking advantage of the robot mobility to perform a triangulation method. Separate model based on Long-Short Term Memory (LSTM) network is utilized to perform the keyword spotting task. We evaluate the average accuracy of the DOA and distance and Word Error Rate (WER) of the keyword spotting activity. We also compare the performance of the system in the open field non reverberant situation with an ideal simulation.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122797420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wenxuan Dong, Xiaobing Mao, Yupeng Yuan, Hai Huang
{"title":"Nonlinear Sliding Mode Variable Structure (SMVS) Control of the Speed of a Ship with a Controllable Pitch Propeller (CPP)","authors":"Wenxuan Dong, Xiaobing Mao, Yupeng Yuan, Hai Huang","doi":"10.1109/ICCAR49639.2020.9108106","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108106","url":null,"abstract":"Based on the working principle of a ship with a controllable pitch propeller (CPP), a mathematical model of the ship-propeller subsystem, the engine-propeller subsystem, and the ship main engine subsystem was established. The model was represented by a set of differential equations, in which the ship speed, the rotational speed of the propeller, and the rotational speed of the main engine were used as the state variables, and the angle of pitch and the fuel injection quantity were used as the control input. The equation set was a multi-input nonlinear speed control system with the characteristics of coupling and nonlinearity. In order to design a sliding mode variable structure (SMVS) controller, appropriate coordinates were selected for the nonlinear state transformation, and the multi-input nonlinear system was decomposed into two single-input systems to solve the equivalent control through the manifold calculation. MATLAB simulation results showed that under the control of the angle of pitch and the fuel injection quantity, the ship speed, the rotational speed of the propeller, and the rotational speed of the main engine could quickly approach the given values, verifying the advantages of the SMVS control for complex multi-input nonlinear systems.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117253544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nonlinear Differential Game Guidance Law for Guarding a Target","authors":"Min He, Xiaofang Wang","doi":"10.1109/ICCAR49639.2020.9108001","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108001","url":null,"abstract":"The three-body engagement scenario is considered where a unmanned combat air vehicles (target) fires a defending missile (defender) to intercept the attacking missile (attacker). Firstly, the nonlinear model of target-defender-attacker engagement is built. Considering the miss distance between defender and attacker, the miss distance between attacker and target, and the control energy of three adversaries, the function index is established. Then a nonlinear differential game guidance law for three adversaries is derived based on differential game theory. When the attacker adopts the optimal strategy for pursuing the target and evading the defender, the feasible launch angle region of defender and the feasible region of penalty coefficient under the available overload constraints are analyzed when given initial condition. Simulation results show that the defender can intercept the attacker with less maneuverability by cooperating with the target, which shows the superiority of the cooperation.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116850802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic Parameter Tuning in Aluminum Extrusion Based on Genetic Programming","authors":"Anantaporn Hanskunatai","doi":"10.1109/ICCAR49639.2020.9107980","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9107980","url":null,"abstract":"This work applies artificial intelligence in the aluminum extrusion process for automatic setting the ram speed of a machine according to the requirements of the industry. The automatic parameter tuning system computes the ram speed with the equation created by genetic programming (GP). In model evaluation, MAE and MAPE are used to measure a predictive performance of the models. In addition to GP, linear and polynomial regression are used to generate the automatic parameter tuning model for comparing a performance with GP. The experimental results on the test set show that GP performs the best in predictive performance with 0.130 of MAE and 4.22% of MAPE. Finally, the GP model has been developed as a software to calculate the ram speed and display it on a screen. This system will help users who are not proficient in aluminum extrusion or new users to have better control of production.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126318122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pixel-Level Bird View Image Generation from Front View by Using a Generative Adversarial Network","authors":"Tianru Zhou, Dong He, Chang-Hee Lee","doi":"10.1109/ICCAR49639.2020.9107991","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9107991","url":null,"abstract":"Understanding traffic scenes robustly is a cornerstone for autonomous driving, where bird view is an essential component to create panoramas of surroundings. However, since a large gap of two domains in terms of color, types of cars, landmarks, and occlusions, the task of synthesizing the associated bird view from a front view is quite challenging. Therefore, we propose a different framework for a bird view generation, where our approach employs a network that contains one generator and two discriminators. The generator consists of an encoder and a decoder, the real/fake discriminator inspired by the original GAN, and the identification discriminator has been designed to improve relevance between the source and the target domains. When compared with other previous methods, our approach utilizes neither geometry-based transformation nor an intermediate view approach. Our proposed network successfully synthesizes the associated bird view from a front view with sharper details and higher accuracy.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126379355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Data Visualization of Large Scale AIS Trajectories Data on Hadoop","authors":"Bao Lei","doi":"10.1109/ICCAR49639.2020.9108055","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108055","url":null,"abstract":"With the establishment of Automatic Identification System(AIS) networks, maritime vessel trajectories are becoming increasingly available. The visualization of AIS trajectories data is an effective way on large scale spatiotemporal data analysis and is critical for real time applications ranging from military surveillance to transportation management. In this paper we uses the real AIS data as experimental data and uses Hadoop as data processing and storage, presents a dynamic visualization of global marine AIS data and local sea area situation. A multi-charts visualization model is presented, where the characteristics of complex ships in port area can be analyzed.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134332490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stability Analysis of Time-Varying Delay Bilateral Teleoperation System with State Prediction","authors":"Xue Tao, Jian Li, Qi Huang","doi":"10.1109/ICCAR49639.2020.9108050","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108050","url":null,"abstract":"Aiming at the problem that the communication time-varying delay would destabilize teleoperation systems and worsen the tracking performance of robot-assisted surgery teleoperation, in this paper, a force and position predictive control method for state prediction is proposed. The Kalman filtering (KLF) algorithm is used to filter the position signal for compensating the time delay, a nonlinear Hunt-Crossley (HC) model would be used to generate a virtual environment of the remote robotic tool-soft tissue interaction at the master side, and the environment parameters would be identified by exponentially weighted recursive least squares (EWRLS) method. The system stability conditions are theoretically derived by Llewellyn's absolute stability criterion. The proposed control structure is a 4-CH architecture with state prediction, and the simulation results show the effectiveness of this predictive control method.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127225917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Production Allocation and Distribution for Bottled Water Manufacturing","authors":"Apinya Anusorn, W. Tharmmaphornphilas","doi":"10.1109/ICCAR49639.2020.9108084","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108084","url":null,"abstract":"This paper studies the production allocation and distribution process of a bottled water manufacturing in Thailand. The case study company has 16 products that produced by 6 manufacturing plants located in the different regions. There are different production costs in each plant and also different transportation costs from plants to the distribution centers, while the selling price of the same product is not different. Each plant can produce different types of products by sharing resources; furthermore, each production line uses the different setup time for changing products. This research proposes a mixed integer programming (MIP) model to minimize the total cost, including production cost, holding cost and transportation cost. Results from the proposed model help reduce company cost 24.77%.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123466570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}