Different versions of the algorithm are used to compare the genetic operators they use. In this study, differential evolution is applied for identifying the parameters of the nonlinear fuel cell model. They suit well for large and complex optimization problems. The experimental results show the strong performance improvement obtained after few iterations of IFT algorithms in terms of a model reference tracking optimization problem.ĭifferential Evolution in Parameter Identification - Fuel Cell as an ExampleĪki Sorsa, Anssi Koskenniemi and Kauko LeiviskäĮvolutionary algorithms are optimization methods and their basic idea lies in biological evolution. New IFT algorithms are proposed in order to ensure the performance improvement of level control systems by means of six steps assisted by experiments. The two PI controllers in these control loops are first tuned in terms of the Modulus Optimum method.
The level control in the first two tanks is carried out using a multivariable control system structure which consists of two control loops, one for each level. This paper suggests the application of Iterative Feedback Tuning (IFT) as a data-based control technique to parameter tuning of PI controllers dedicated to vertical three-tank systems. Petriu, Claudia-Adina Dragoş, Stefan Preitl and Alexandra-Iulia Stînean Mircea-Bogdan Rădac, Bogdan-Alexandru Bigher, Radu-Emil Precup, Emil M. Some simulation results illustrate the proposed approach.ĭata-based Tuning of PI Controllers for Vertical Three-Tank Systems A solution based on polynomial parametrizations is proposed in order to determine a feasible path in the 3D space, and such a path is then followed by tracking its image projection through image-based visual servoing. The problem consists of planning a trajectory in order to ensure the convergence of the robot end-point to the desired location while satisfying visibility and workspace constraints, in particular including occlusion and collision avoidance. In the second situation, it is supposed that at least three spheres are observed. In the first situation, it is supposed that at least two points and at least a sphere are observed. This paper proposes a path-planning approach for visual servoing in the case where the observed object features are points and spheres. Visual Servoing Path-planning with Spheres Real-time data exchange and control of the process variables have been successfully achieved and obtained results under real conditions are presented. This controller runs in Simulink and is linked through Open Process Control interface with the industrial programmable logic controller responsible of global management of the installation. This paper presents the design of a fuzzy logic controller to operate an electrolyzer of an experimental test-bed of hybrid wind-solar system with hydrogen storage. José Calderón Godoy and Manuel Calderón Godoy
The proposal could be an integral part for analyzing the communication atmosphere with background music, or be used by a music recommendation system for various occasions.įuzzy Control of a Hybrid Renewable Power System based on Real-time Matlab-PLC Communication through OPC To demonstrate the validity of this proposal, a dataset composing of 120 pieces of author-performed violin music with six primary emotion categories is established, by which the experimental results of emotion recognition using Support Vector Regression report overall recognition accuracy of 86.67%.
Besides the music features from audio processing, three features (i.e., left-hand feature, right-hand feature, and dynamics) with regard to both composition and performance of violin music, are extracted to improve the emotion recognition of violin music. HirotaĮmotion recognition of violin music is proposed based on strings music theory, where the emotional state of violin music is expressed by Affinity-Pleasure-Arousal emotion space. Short Papers Area 1 - Intelligent Control Systems and Optimization Full Papers Paper Nr:Įmotion Recognition of Violin Music based on Strings Music Theory for Mascot Robot System