Rapid growth in using Commercial of The Shelf (COTS) components in Space missions compelled the researchers to evaluate the performance of this components in space environment. AT90CAN128 commercial microcontroller is used in AutSat mission due to high performance, simple structure, low power consumption and the ability of CAN bus management. In this paper the result of Total Ionizing Dose test on this microcontroller is presented. These results confirm the possibility of using this microcontroller for our satellite with minimum 3 years life cycle.

In assessing the power system, the most important issue is the system behavior when the system is affected by a disturbance. In some plants in case a small event, oscillations are created that are not easily damped and this lack of damping causes the power plant shut down. So, conditions should be set such that the power plant damps the oscillations as soon as possible and returns it to the stable conditions. In this paper, microcontroller-based power system stabilizer (PSS) is designed that increases the single machine dynamic stability of the power system connected to an infinite bus by improving damping in the low frequency oscillation. The system stability is investigated by the eigenvalues and the results of dynamic simulations are provided in the time domain. Programmable interface controllers (PIC) have been used in designing digital PSS,then the continuous time domain PSS is converted to discrete time domain PSS and finally it is implemented on the microcontroller chip.

Background and Objectives: In general, traditional salt farmers determine the time to harvest salt by visiting and monitoring their salt ponds. Therefore, to assist salt farmers in determining the right time to harvest salt and determine the quality of the harvested salt, a wireless-based electronic device is needed that can monitor the salt content and viscosity of the brine.Methods: An electronic device that is made to measure salt content (salinity) with a conductivity sensor and to measure fluid viscosity using a data processing method from sensor readings which is first converted to digital data with a program on the microcontroller. To find out whether the brine is ready to be harvested or not, the data obtained in the form of conductivity and stress are converted into percentages of NaCl and degrees of Baume. Then the data is sent to the ESP8266 wifi module to be stored in a database and displayed on the Web.Results: The results of the data obtained are based on testing in salt ponds for young water but it has been quite a long time the results have approached old water of around 64% and 14o Be. The results of the old water test that had just been moved to the last reservoir were close to harvest time of around 94% and 21o Be. If it has reached 25o Be then it is enough to be moved to the crystallization site. To determine the harvest period based on two parameters, namely the salt content and the viscosity of the liquid is 86-90% and the viscosity of the liquid is 20-24o Be. If you have reached both of these parameters, the salt can be harvested in about 7-10 days to make the water crystallize.Conclusion: Equipment Indicators for determining salt harvest time based on salinity and liquid viscosity using a microcontroller that has been made have been successfully used to determine salt harvest time properly. The salt quality of this indicator tool is the salt content including the K-3 quality or the lowest quality of the 3 existing qualities.

Currently, real-time force control of actuators is one of the most important issues found in different branches of industry. In order to achieve the best performance of a given electromagnetic actuator, first of all, the parameters of the dynamic model of the actuator should be identified. In this research, an experimental platform is designed and manufactured to conduct experiments and identify the parameters of the electromagnetic actuator. The process of generating a reference signal for identification is performed in a real-time manner by the STM32F746ZG board. The ARM-Cortex M7 microcontroller on the board has provided us with the ability to produce any type of signal with the desired frequency, amplitude and bias. In this research, a harmonic chirp signal is generated to study the behavior of the actuator at different frequency intervals. The amplitude of inertial force generated by the actuator is measured by a Kistler Type 9255B dynamometer. Finally, by analyzing the system response, the accurate dynamic model for the system is successfully estimated.

Automatic Meter Reading (AMR) is the remote collection of consumption data from customer’s utility meters over telecommunications, radio, power line and other links. AMR provides water, electric and gas utility-service companies the opportunities to streamline metering, billing and collection activities, increase operational efficiency and improve customer service. Utility company uses technologies that were developed several decades ago with the majority of the meters being read visually. With manual readings, considerable time is used to physically check out each unit. AMR becomes a viable option to overcome this problem of time wastage to obtain the meter readings. There are many different forms of communication links that can be utilized as the communication medium in an AMR system. One such link is the power line carrier or PLC. The advantages of using the PLC as the communication medium are readily apparent since the power line network is the property of the utility company and its infrastructure is already there. However, power lines are never meant for communication and creates much noise and therefore, various modifications has to be made to make the PLC suitable to be the AMR communication channel. The AMR system consists of three major components: the meter interface module, communications system, and data concentrator. This paper details a feasibility study on the creation of a robust bi-directional/two-way communication system between an electricity meter and a distant control unit (data concentrator) over the low voltage (LV) distribution grid. Basic functions of the AMR system include the provision for remote connection and disconnection of meter and fraud detection features at both the meter interface and the data concentrator. As a support system to the entire AMR, batteries are utilized. They are especially important in the cases of power failures. Lithium-ion batteries are the type of batteries that are used as these batteries tend to last longer than most other batteries. The main advantage of this system is that it is a low cost system that produces very encouraging results and it can be implemented upon existing electro-mechanical meters without the need of purchasing new meters. With many existing meters being the electro-mechanical meters, the need for a high-cost, large-scale implementation of new electronic device meters to enable implementation of the AMR system is unnecessary. The cost of implementation is low and the benefits, especially economically, that it brings to the utility company are immense.

In this paper, photovoltaic (PV) grid-connected inverter which is the core device in PV grid-connected system has been in depth research. An improved predictive current controller has been developed by the Authors for single-phase grid-connected voltage source inverters (VSI). Based on DSP TMS320LF2407A, a 10 kW single-phase grid-connected inverter has been built in this paper. Thus is aimed at use in distributed generation. Because of the powerful real time processing ability of the DSP, the output power factor of the PV inverter connected with grid can be controlled to unity. The composition of main circuit and control loop is described in detail and the operating principle of each functional block is analyzed deeply. The experiment results show that the improved predictive controller has a superior performance. The single-phase grid-connected VSI implemented with the proposed predictive controller has shown very low current THD in laboratory test.

Introduction: One of the vital activities in the economic and environmental sector of the country is fish farming, which requires precise management for optimal efficiency and profitability. The distribution and timing of feeding are crucial aspects influencing the productivity and profitability of fish farming. In this regard, an intelligent system has been designed to automatically distribute the fish feed and provide an ideal schedule for fish nutrition. This system utilizes advanced technologies such as programmable control systems and precise distribution mechanisms to improve issues related to manual fish feeding. By the Arduino output components, the system injects feed into the aquaculture environment using mechanisms like servo motors. Additionally, the system has the capability to adjust the feeding schedule based on the nutritional needs of the fish, enhancing efficiency and minimizing the need for human intervention. This system assists fish farm managers in automating and efficiently managing the feeding operations, ultimately leading to improvements in the quality and quantity of their fish production. Materials and methods: The main components of the fish feed distribution and scheduling system consist of three essential elements: the Arduino Uno board, serving as a programmable platform; a servo motor with a single output shaft capable of positioning itself at a specific angle by receiving encoded signals; and a feeder, functioning as a storage and dispensing container for fish feed in the aquaculture system. The system operates by the Arduino board, utilizing pre-stored code, and making decisions based on predetermined time intervals between feeding sessions. These decisions include the timing and quantity of the feed, planned according to the fish type. In this system, at the specified time, the Arduino board sends a command to activate the servo motor. Upon activation, the gears of the servo motor rotate in four different positions, determined by the set time for the feeding session, causing the feeder connected to the motor to rotate. Consequently, the feed is uniformly distributed across the pond's surface. Results and discussion: In the realm of fish farming, one of the main challenges is the efficient and effective management of fish nutrition. Traditional methods of nutritional management, reliant on human labor, result in human errors and uneven food distribution, jeopardizing the health and growth of fish. These methods require time-consuming planning and can lead to issues such as water pollution, disease outbreaks, and increased costs due to overfeeding or underfeeding. To address these challenges, this study proposes an intelligent feeding and scheduling system using the Arduino microcontroller. This automated system offers balanced food distribution, precise timing and frequency of feeding, and control over the amount of consumed food. By setting accurate feeding times based on fish type and preventing food wastage, the system enhances the performance of fish feeding. Leveraging its strengths, including cost-effectiveness, high precision in feeding, optimal management of feed rations, and easy accessibility, this system is practically applicable in fish farms and ponds. Conclusion: Based on the results of the present study, the intelligent fish-feeding device can bring significant improvements in nutritional efficiency, growth, and health of fish and enhances the performance of fish-feeding systems, contributing to the improvement of fish farming conditions and increasing profitability in the aquaculture industry. Conflicts of interest: The authors declare no conflicts of interest. Funding: This study has received no funding from any organizations.