{"title":"Fuzzy PID Control Tuning Design Using Particle Swarm Optimization Algorithm for a Quadrotor","authors":"Halima Housny, E. Chater, H. E. Fadil","doi":"10.1109/ICOA.2019.8727702","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727702","url":null,"abstract":"This study focuses on tuning the parameters of proportional integral derivative controller (PID). These parameters are traditionally tuned through the Zeigler-Nichols method. However, fuzzy logic control is usually used to online adjust the PID controller parameters. Interestingly, to find the optimal fuzzy controller scaling factors, particle swarm optimization (PSO) may also be used. Nonetheless, in presence of multi-input multi-output (MIMO), nonlinear, and under-actuated systems, a multidimensional tune is necessary, which renders finding the optimal fuzzy-PID controller with PSO algorithm a difficult task. Then, this paper presents an adapted multidimensional PSO algorithm in order to improve the performances of a fuzzy-PID controller for stabilizing a quadrotor system when tracking its reference trajectory. Moreover, to show the effectiveness of this optimization strategy, it is shown that, using simulation tools, the fuzzy-PID controller that is tuned by the proposed multidimensional PSO algorithm could ensure better time domain specifications, in comparison with a classical PID controller.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132812696","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":"H∞ Control For Vehicle Active Suspension Systems In Finite Frequency Domain","authors":"Mrabah Loubna, E. Tissir, Ouahi Mohamed","doi":"10.1109/ICOA.2019.8727652","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727652","url":null,"abstract":"This paper considered the H∞ control problem for active vehicle suspension systems over a finite frequency domain. The H∞ performance is analyzed to measure the ride comfort of the vehicle. Based on the generalized Kalman_Yacubovich_Popov(GKYP) Lemma. To improve the ride comfort, the H∞ norm is decreased in specific frequency band. Our theoretical methods are formulated as a linear matrix inequalities(LMIS). The theoretical results are illustrated as simulation results to show the effectiveness of the proposed method.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133611933","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":"Control Management System of a Lithium-ion Battery Charger Based MPPT algorithm and Voltage Control","authors":"Yahya Aljarhizi, A. Hassoune, El Mehdi Al Ibrahmi","doi":"10.1109/ICOA.2019.8727655","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727655","url":null,"abstract":"Solar energy is considered as one of the main renewable energy sources, even though the energy produced by a photovoltaic array is variable and non-linear depending on the changes in irradiation and in temperature. The changes do not allow the system to extract the maximum power from a PV array in which numerous features must be fitted, for instance, the efficiency, the stability and the accuracy. In power solar systems, preserving the lifetime of materials and extracting the maximum power from PV panels are all primordial findings in order to reduce the investment costs. In this work, the required features are achieved by controlling a dc/dc boost converter with two different strategies of control i.e., the maximum power point tracking (MPPT) INC algorithm to benefit as much as possible from solar irradiation and the PI control to secure the battery from the overloading situation. The results of this approach are simulated and analyzed by MATLAB/Simulink environment in order to test the control management algorithm.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129761010","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":"Optimization of the shape parameter of RBF based on the PSO algorithm to solve nonlinear stochastic differential equation","authors":"Ihsane Salleh, Yassin Belkourchia, L. Azrar","doi":"10.1109/ICOA.2019.8727661","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727661","url":null,"abstract":"In this paper, the Particle Swarm Optimization (PSO) is used to determine a good shape parameter of meshfree method with radial basis function (RBF) to get distribution function of Fokker-Planck equation associated to nonlinear stochastic differential equations. Numerical procedures based on Kansa’s method and particle swarm optimization are applied to Duffing oscillator model. This paper gives the best shape parameter by PSO by minimizing the Root Mean Square Error (RMSE). The effectiveness of the method is demonstrated and the obtained results are well compared to the available ones.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123543922","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}
Abdelali Kamil, A. Allal, Yousra Melhaoui, K. Mansouri, M. Rachik
{"title":"A comparative analysis of methods related to automatic ship berthing","authors":"Abdelali Kamil, A. Allal, Yousra Melhaoui, K. Mansouri, M. Rachik","doi":"10.1109/ICOA.2019.8727693","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727693","url":null,"abstract":"Automatic berthing has been known as one of the most difficult problems in ship control. During port approach and berthing maneuvers, the ship master takes into account many factors before any maneuver action, i.e. ship speed, wind speed, wind direction, water current direction, available power, heading angle and ship response. However, many methods related to automatic berthing were developed by recent researches, such as Artificial Neural Network, Adaptive Backstepping, Nonlinear Programming and Proportional-Integral-Derivative. In this paper a comparative analysis of these methods is presented, determining the advantages and the limitations of each method.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123701297","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":"An Optimal Energy Management System of Islanded Hybrid AC/DC Microgrid","authors":"Marouane Lagouir, A. Badri, Y. Sayouti","doi":"10.1109/ICOA.2019.8727621","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727621","url":null,"abstract":"This paper deals with the optimization problem in a microgrid, and proposes more reasonable strategy for optimal energy management. The system is designed in a multi-layer structure combining a fuzzy logic system as the main controller with a conventional algorithm. The performance and effectiveness of the developed strategy are evaluated in two case studies taking into account power balancing, ensuring high penetration of renewable energy sources, monitoring the battery state of charge and fuel cost function optimization with consideration to some objective constraints. The simulation results show the accuracy and efficiency of the proposed approach.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127705287","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":"Solving flow shop problem with permutation and sequence independent setup time","authors":"J. Belabid, Said Aqil, K. Allali","doi":"10.1109/ICOA.2019.8727667","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727667","url":null,"abstract":"In this paper, we study one of the frequently encountered issues in manufacturing industry, that is the flow shop scheduling problem. We present a mixed-integer linear programming model to solve n job and m machine flow shop process with permutation and sequence independent setup time. The objective is to minimize the maximum completion time for all jobs, called makespan. In addition to the mixed-integer linear programming model, two other algorithms are used in this investigation. The first one consists of the Johnson’s rule which will be adapted to solve more than two-machines flow shop problems. The second one is based on the NEH heurstic. Simulations are conducted for different instances by varying the number of jobs and machines. The proposed algorithms are compared to the optimal solution given by the mixed-integer linear programming model. It was revealed that the adapted NEH heuristic presents best performance than the heuristic based on Johnson’s rule.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124815812","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":"CFD Analysis and Shape Optimization of NACA0012 Airfoil for Different Mach Numbers","authors":"R. Maani, B. Radi, A. Hami","doi":"10.1109/ICOA.2019.8727653","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727653","url":null,"abstract":"Multidisciplinary design optimization techniques become more and more applied in the field of aerodynamics due to the rapid development of computers high-performance, numerical methods and optimization algorithms. These techniques coupled with Computational Fluid Dynamics (CFD), which aims to incorporate mathematical relations and algorithms to analyze and solve fluid flow problems, involve the use of those numerical methods and algorithms to improve the fluid flow solutions. CFD analysis of an airfoil determines its ability by producing results such as lift and drag forces, and the application of an optimization algorithm involves improving the shape of this airfoil in order to manipulate the lift and drag coefficients according to the requirements. In this work, a numerical investigation, using ANSYS/Fluent, of two-dimensional transonic flow over a NACA 0012 airfoil was conducted at various Mach numbers and compared with the provided experimental data. The flow to be considered is compressible and turbulent and the solver used is the density based implicit solver, which gives good results for high speed compressible flows. Then a shape optimization algorithm, based on a Multi-Objective Genetic Algorithm, was used in order to obtain an improved performance control of the aerodynamic coefficients of the optimized airfoil.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125194398","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":"New Deterministic Optimization Algorithm for Fuzzy Control Tuning Design of a Quadrotor","authors":"Halima Housny, E. Chater, H. El Fadil","doi":"10.1109/ICOA.2019.8727622","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727622","url":null,"abstract":"Using an optimization algorithm to find the optimal controller parameters is still a big challenge. This paper proposes a new algorithm to tune the scaling gains of a fuzzy logic controller. Based on a deterministic choice of the population, the proposed algorithm allows determining the best parameters of a fuzzy logic controller that is used to stabilize the position of a quadrotor system when tracking specified trajectories. In addition, using simulation tools, it is shown that a fuzzy controller which is optimized by the proposed algorithm could give similar performances to the case of particle swarm optimization design. Thus, from these simulation results, it is also shown that this tuning approach actually gives fast and complete way to optimize any controller, which makes the new deterministic algorithm a good addition to solving controller tuning problems.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126057410","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}
Sadiqi Assia, El Abbassi Ikram, El Barkany Abdellah, El Biyaali Ahmed
{"title":"Non-permutation flow shop scheduling problems with unavailability constraints to Minimize Total Energy Consumption","authors":"Sadiqi Assia, El Abbassi Ikram, El Barkany Abdellah, El Biyaali Ahmed","doi":"10.1109/ICOA.2019.8727649","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727649","url":null,"abstract":"Nowadays, energy demand has grown rapidly and remarkably in the different sector. More particularly the industry currently consumes about half of the world’s energy. Furthermore, there has been a growing concern over the environmental impact of traditional manufacturing, especially in terms of energy consumption and related emissions of carbon dioxide. Besides the adoption of new equipment, production scheduling could play a key role in reducing the total energy consumption of a manufacturing plant. This article deals with the non-permutation flow shop scheduling problems with non-availability intervals to minimize the total energy consumption (TEC) and makespan (Cmax). Specifically, two kinds of unavailability constraints are investigated and the jobs are non-resumable in both cases. In the first case, the non- availability intervals are periodically fixed and known in advance. In the second case, the intervals are flexible and the machines’ continuous working time cannot exceed a maximum allowed time. The mixed binary integer programming model is provided for deriving the optimal schedules. The problems of minimising makespan in such flow shops are proved Non-deterministic Polynomial-time hard in strong sense. To the best of our knowledge, no papers considering both production scheduling and unavailability constraints with minimizing the total of energy consumption and makespan in flow shop. The gap between theory and practice prevents the satisfying performance of the schedules in industry. The purpose of this paper is to establish a joint model for integrating the production and unavailability constraints to optimize the bi-objective of the total energy consumption and makespan simultaneously; and to make the theory applied in practice more efficaciously.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122035454","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}