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    785 research outputs found

    Spiking PID Control Applied in the Van de Vusse Reaction

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    Artificial neural networks (ANN) can approximate signals and give interesting results in pattern recognition; some works use neural networks for control applications. However, biological neurons do not generate similar signals to the obtained by ANN.  The spiking neurons are an interesting topic since they simulate the real behavior depicted by biological neurons. This paper employed a spiking neuron to compute a PID control, which is further applied to the Van de Vusse reaction. This reaction, as the inverse pendulum, is a benchmark used to work with systems that has inverse response producing the output to undershoot. One problem is how to code information that the neuron can interpret and decode the peak generated by the neuron to interpret the neuron's behavior. In this work, a spiking neuron is used to compute a PID control by coding in time the peaks generated by the neuron. The neuron has as synaptic weights the PID gains, and the peak observed in the axon is the coded control signal. The neuron adaptation tries to obtain the necessary weights to generate the peak instant necessary to control the chemical reaction. The simulation results show the possibility of using this kind of neuron for control issues and the possibility of using a spiking neural network to overcome the undershoot obtained due to the inverse response of the chemical reaction

    Enhanced Sliding Mode Control for a Nonlinear Active Suspension Full Car Model

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    This paper delivers findings on optimal robust control studies of nonlinear full car models. A nonlinear active suspension full car model is used, which considers the dynamic of a hydraulic actuator. The investigation on the benefit of using Sliding Mode Control (SMC) structure for the effective trade-off between road handling. The design of SMC in the chassis/internal subsystem is enhanced by modifying a sliding surface based on Proportional-Integral-Derivatives (PID) with the utilization of particle swarm optimization (PSO) algorithm in obtaining the best optimum value of control parameters. The switching control is designed through the Lyapunov function, which includes the boundedness of uncertainties in sprung masses that can guarantee the stability of the control design. The responses of the proposed controller have improved the disturbance rejection up to 60% as compared to the conventional SMC controller design and shown the high robustness to resist the effect of varying the parameter with minimal output deviations. The study proved that the proposed SMC scheme offers an overall effective performance in full car active suspension control to perform a better ride comfort as well as the road handling ability while maintaining a restriction of suspension travel. An intensive computer simulation (MATLAB Simulink) has been carried out to evaluate the effectiveness of the proposed control algorithm under various road surface conditions

    A critical discourse analysis on Jokowi and Prabowo’s tweets during 2019 presidential election

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    This paper aims to present critical discourse analysis on Jokowi and Prabowo's tweets during the 2019 presidential election. This paper will focus on critical discourse analysis, especially on the discourse structure of Jokowi and Prabowo's tweets and the communication strategies used by Jokowi and Prabowo during the presidential election. This research uses qualitative methods. The data obtained by the researcher comes from tweets written by Jokowi and Prabowo during the 2019 presidential election campaign. The data collection method used is the observation method by observing Jokowi and Prabowo's Twitter accounts. After collecting the data, the researcher classified the discourse structure using Van Dijk's discourse analysis concept in Jokowi and Prabowo's Tweets. The results of this study found elements of macrostructure (theme), superstructure (scheme), and microstructure consisting of semantic elements (background, detail, intention, presupposition), syntax (sentence form, coherence, conditional coherence, distinguish coherence, disavowal, pronoun), stylistic elements (lexicon) and rhetorical elements (graphology and metaphor) in tweets written by Jokowi and Prabowo. Furthermore, Jokowi and Prabowo used strategic communication campaign stage 3, "Pramodel," during the presidential election. Joko Widodo used photos and videos of his story; meanwhile, Prabowo Subianto had much interaction with his Twitter followers

    An Adaptive Control for the Path Tracking of an Active Leg Prosthesis

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    This paper presents an adaptive fuzzy-PID control strategy applied to an active lower limb prosthesis for trajectories tracking in normal walking, stairs climbing, and stairs descent. Trying to imitate a natural human limb, the prosthesis design challenges rehabilitating amputees to resume normal activities. A dynamic model of an ankle-knee active prosthesis is developed without ground reaction in a first case and introduces ground effect in a second one to ameliorate prothesis performances. The obtained models are used to synthesize a control strategy based on TS fuzzy concepts and PID control to reproduce human lower limb behavior in a normal gait and climb and descent of stairs. The RSME errors are calculated to evaluate and compare the various results performances and eventually show the capacity of the proposed control with ground reaction impact on trajectory tracking. The RMSE values obtained for the four outputs of the fuzzy controller are very small for the different modes of locomotion. Moreover, they become weaker when the ground reaction forces are added to the model to show the role of these forces for the body equilibrium maintaining during the gait cycle. The developed approach ensured good trajectories tracking compared to a healthy leg even in presence of disturbances

    A New Architecture of Autonomous Vehicles: Redundant Architecture to Improve Operational Safety

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    The internet of things allows having the comfort of these users. However, the number of connected objects is increasing exponentially. There is therefore a risk of degrading the quality of comfort by the phenomena of the non-availability of communication services. These days, with digital networking and agility in the words, autonomous vehicles, are a particular case of the Internet of Things, represent the vehicles of tomorrow, to increase a penetration rate into the market and make marketed (level 5) in EV (Electric vehicle). We must think to study its reliability and availability. Autonomous vehicles that have a level 5 autonomous drive system, must exhibit a high degree of reliability. In this paper, we propose a new architecture based on redundancy, to increase the dependability and minimize the risk of having a breakdown. We also propose a communication strategy allowing the minimization of the message rate abandoned by sharing messages on a different network and switching between DSRC and C-V2X

    A Multifunction Robot Based on the Slider-Crank Mechanism: Dynamics and Optimal Configuration for Energy Harvesting

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    An electromechanical robot based on the modified slider-crank mechanism with a damped spring hung at its plate terminal is investigated. The robot is first used for actuation operation and for energy harvesting purposes thereafter. Mathematical modeling in both cases is proposed. As an actuator, the robot is powered with a DC motor, and the effect of the voltage supply on the whole system dynamics is found out. From the numerical simulation based on the fourth-order Runge-Kutta algorithm, results show various dynamics of the subsystems, including periodicity, multi-periodicity, and chaos as depicted by the bifurcation diagrams. Applications can be found in industrial processes like sieving, shaking, cutting, pushing, crushing, or grinding. Regarding the case of the robot functioning as an energy harvester, two different configurations of the electrical circuit for both single and double loops are set up. The challenge is to determine the best configuration for the high performance of the harvester. It comes from theoretical predictions and experimental data that the efficiency of the robot depends on the range values of the electrical load resistance RL. The double loop circuit is preferable for the low values of RL50 Ohm) while the single loop is convenient for high values of RL ≥ 50 Ohm

    Single Axis Solar Tracker for Maximizing Power Production and Sunlight Overlapping Removal on the Sensors of Tracker

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    This paper presents the design and execution of a solar tracker system devoted to photovoltaic (PV) conversion panels. The proposed single-axis solar tracker is shifted automatically based on the sunlight detector or tracking sensor. This system also removes incident sunlight overlapping from sensors that are inside the sunlight tracking system. The Light Dependent Resistor (LDR) is used as a sensor to sense the intensity of light accurately. The sensors are placed at a certain distance from each other in the tracker system to avoid sunlight overlapping for maximum power production. The total system is designed by using a microcontroller (PIC16F877A) as a brain to control the whole system. The solar panel converts sunlight into electricity. The PV panel is fixed with a vertical axis of the tracker. This microcontroller will compare the data and rotate a solar panel via a stepper motor in the right direction to collect maximum photon energy from sunlight. From the experimental results, it can be determined that the automatic (PV solar tracker) sun tracking system is 72.45% more efficient than fixed panels, where the output power of the fixed panel and automatically adjusted panel are 8.289 watts and 14.287 watts, respectively

    Wall Following Control System with PID Control and Ultrasonic Sensor for KRAI 2018 Robot

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    Indonesian Abu Robot Contest (KRAI) in 2018 with the theme "Throwing a Blessing Ball". The main purpose of this robot is to be able to navigate automatically in an area that is bordered by walls to complete the mission. The main problem with the robot is the navigation system. The application of PID control in the wall following system has been able to make robot movements smooth, responsive, and fast. In this study, PID control aims to smooth the movement of the robot while walking along the wall in the race arena. The PID parameter is obtained from the results of tuning with the trial and error method, the values of KP = 3, KI = 0, and KD = 5. At the PWM 150 set point the value of the ultrasonic sensor distance reading to the object in the form of a wall with an average error of 4.4. cm. At the PWM 200 set point the value of the ultrasonic sensor distance reading to the object in the form of a wall with an average error of 0.4 cm. At the PWM 250 set point the value of the ultrasonic sensor distance reading to the object in the form of a wall with an average error of 0.8 cm. This error does not have an effect on the performance of the wall following system, because the system only uses the distance value reading data with a decimal value in front of the comma. So it can be concluded that the wall following system which is designed using ultrasonic sensors with measurement error that occurs is zero

    Forecasting electrical power consumption using ARIMA method based on kWh of sold energy

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    Customer demand for electrical energy continues to increase, so electrical energy infrastructure must be developed to fulfill it. In order to generate and distribute electrical energy cost-effectively, it is crucial to estimate electrical energy consumption reasonably in advance. In addition, it is necessary to ensure that customer demands can be met and that there is no shortage of electricity supply. This study aims to determine the estimated long-term electricity use with a historical Energy Sold (T1) database in kW accumulated over several periods from 2008 to 2017. The ARIMA method with the Seasonal-ARIMA (SARIMA) pattern is used in forecasting analysis. The ARIMA method was chosen because it is considered appropriate for forecasting linear and univariate time-series data. The results of this study indicate that the MAPE (%) error rate is relatively low, with a result of 7,966, but the R-Square reaches a value of -0.024 due to the lack of observational data

    Preservation strategy through implementation of Hindu aesthetics on Balinese Pejaten pottery in Indonesia

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    Pejaten pottery is one of the aesthetically unique potteries. The pottery has various ornaments such as god ornaments, god weapons, barong, and animals and plants. These ornaments are often found in Hindu worship ceremonies. This shows that, aesthetically, Pejaten pottery cannot be separated from Hindu aesthetics, so it is interesting to study. The problem is how the implementation of Hindu aesthetics in Pejaten pottery works and how Hindu aesthetics is used as a strategy for preserving Hindu aesthetics in Pejaten pottery. This study aims to determine the basis for applying Hindu aesthetics as a strategy for preserving Pejaten pottery. This qualitative research took the location of Pejaten Village, Kediri District, Tabanan Regency, Bali. Data were collected by direct observation, interviews, and also collecting literature data related to Hindu aesthetics. The aesthetic analysis process of Pejaten pottery is carried out using the concepts of Rwa bhineda (balance), satyam (truth), sivam (holiness), sundaram (beauty), and Pangider Bhuana (Pangider-ider). This study indicates that the ornaments and various forms of Pejaten pottery have a strong Hindu philosophical foundation, and this shows the religious nature of the Pejaten pottery craftsman. The conclusion is that the religiosity of the Pejaten pottery craftsmen is very influential in their creative process, and this is significantly able to maintain the preservation of the Hindu aesthetics of Pejaten pottery, Bal

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