Development of software for the pi-controllers optimal tining

The use of software by automation engineers to adjust regulators is an important task. The aim of the study is to develop software for the tasks of optimal adjustment of PI controllers. In the article, based on the analysis of the functionality of modern software products for tuning automatic control systems, the main requirements for the development of software for tuning of automatic controllers have been stated. The interface of the developed PI-Tuner software product for determination of optimum values of coefficients of proportional and integral terms of the PI-controllers has been presented. The description of functionality of the software product has been shown. Among functional features of the software are: the analysis of control process for plants of the first, second and third orders with and without delay; building of plots, which describe of the control; calculation of qualitative indicators of control in the time domain; determination of the optimal coefficients of the PI-controller on the basis of the metaheuristic method of optimization with taking into account several control indicators (overshoot, settling time, etc.). The main directions of further development of the software product have been indicated. Among them are: expansion of its functionality in terms of calculations of a wide class of plants, improvement of the interface, possibility of application of known in engineering practice methods of controllers tuning, etc. Key words: software, automatic control, PI-controller, tuning

RANCANG BANGUN ALAT PENETAS TELUR AYAM OTOMATIS DENGAN PENGIRIMAN DATA VIA SMS GATEWAY BERBASIS ARDUINO NANO

In rural areas, free-range chickens are raised naturally, that is, the eggs are incubated by their parents directly so that the breeding of chickens is not optimal, because the native hens are only able to incubate a few eggs. Therefore an automatic chicken egg incubator is needed. Egg incubators that use automatic controllers in order to facilitate the hatching process, get maximum hatching results as expected and be able to find hatching information remotely by sending information via sms gateway. The hatching temperature is 37-380C and turning the eggs every 8 hours, starting from the eggs being put in the incubator until the eggs hatch. The data from the sensors will be processed in the diarduino and sent to the hatchery owner via SIM800L V.2 when the sound sensor detects the sound of the hatched egg. The information about the eggs that have been hatched comes from the sound sensor, even though the farmer is not in the hatchery. Experiments were carried out using 20 chicken eggs as a sample. The results of the successful hatching test were 4 chickens with a 20% success percentage, due to a power cut during the hatching process.

Identification and Switched Control of an Aeropendulum System

An aeropendulum system built at the Control Research Laboratory of UNESP Ilha Solteira is presented, identified and controlled. The system has nonlinear dynamics and unknown parameters. An identification method using MatLab software is used to obtain local linear models and enable the design of automatic controllers using Linear Matrix Inequalities (LMIs). Therefore, the dynamic of the system can be approximated by local linear models at different points of operation combined by membership functions which are unknown in this case. From the approximated mathematical model of the system and the Lyapunov's stability theory, switched controllers considering decay rate and bounds on norm of the state feedback matrices K are designed. The switched control does not require knowledge of the membership functions to compose the control signal and it is an important characteristic that solve the control problem of aeropendulum modelled by Takagi-Sugeno fuzzy models. Practical applications illustrate the efficiency of the methodology used, the results of the implementations are shown and compared.

MODELING OF TECHNOLOGICAL PROCESSES FOR ALGORITHMIZATION OF PROBLEM OF MANAGEMENT OF OIL FIELD TREATMENT FACILITIES

This article presents mathematical models and calculations of balances of technological processes used for the purposes of design and synthesis of process control algorithms in installations of oil field preparation. Representation of the process in the form of characteristic flow graph and adjacency matrix allows to demonstrate and simplify the calculation of material and thermal balances of multistage technological process. The comparison of the results of calculation of material balance obtained using a specialized modeling system and the equations of the main processes of oil preparation with the experimental data of the current installation is given on the example of the installation of preliminary discharge of formation water. The main reason for the high error of the results is the lack of flow and efficiency of the demulsifier in the models of calculation. The mathematical model of calculation of function of water cut at an exit from installation as the main indicator of quality of preparation of oil is developed. A function of water content was approximated by a second order equation and dependent variable controlling variables – the temperature, rate of the demulsifier and the residence time of the liquid in the apparatus. The flow rate and water content of the liquid is determined by the oil field and does not apply to variable control variables. According to the developed mathematical model, graphs of the dependence of water content on the norm of the demulsifier, the residence time of the liquid in the apparatus and temperature are constructed. The comparison of the results showed an adequate degree of comparability of the regime parameters obtained by the model with the experimental data of the current installation. The practical significance of the work lies in the preparation of recommendations on the parameters of the process, transmitted as input data for design and control system as tasks to operators and automatic controllers.

Effect of distributed generation plants’ automatic controllers on power quality factors

Currently, energy generation industry transition to a new technological platform based on smart electrical energy systems (EES) is underway, with EES equipped with active-adaptive mains. This platform involves a large-scale use of digital devices and significant electrical energy (EE) generation using distributed generation (DG) plants which are to be created by power consumers. These plants can operate as parts of existing grids, or be pooled in network clusters. To implement smart EES, the development of new approaches is required for production, distribution and EE consumption modes management. The article is dedicated to the issues of DG plants application to raise efficiency of non-traction consumers power supply systems. In this case, a special attention was paid to enhancing the electrical energy quality via application of the DG plant which is controlled by concordantly set generator automatic voltage regulator (AVR) and automatic speed governor (ASG). For optimization and harmonization of AVR and ASG settings a method of nonparametric identification of the ‘turbine-generator’ system was used which can be represented as complex activation functions of main channels and crosslinks of regulators and the generator. The study was carried out in Matlab environment on a created railroad power supply system model. The studies conducted helped to detect that application of DG plants with concordantly set AVR and ASG makes it possible to enhance power quality for non-traction consumers and ensure dynamic stability and resilience of railroad line power supply system.

An Inductive, Design-Centric Approach to Control Engineering Education With a Competitive Atmosphere

Control engineering is a cornerstone of most undergraduate engineering programs in colleges and universities around the world. The analysis and synthesis of automatic controllers, in particular, the PID controller, is a central focus of these courses and modules. However, due to its highly abstract nature, students usually find the content challenging and difficult to comprehend. This is aggravated by the employment of traditional lecture/recitation deductive teaching formats as means of delivery of the content. Here, an inductive-based week long design activity strategically held in the middle of the semester was conceived to introduce and motivate the notion of feedback control. During the course of the week, students in teams design, analyze and synthesize automatic controllers to enable a standardized differential wheeled robotic platform to traverse a line circuit autonomously. The strategy to achieve this capability is intentionally left to be open-ended, and students have the design freedom to select and position sensors needed to sense the track, as well as implement and troubleshoot the programming required to enable autonomous control. The activity culminates with a pulsating head-to-head single elimination tournament to decide the overall champion.

Experimental comparison of canal models for control purposes using simulation and laboratory experiments

Considerable amounts of water can be saved by automating irrigation canals. The design of most of the practical automatic controllers rely on a simplified model of the irrigation canal. This model can be obtained from measured data (identification) or can be formulated (white box models) assuming simplifications in the physical concepts and using the canal geometry. Several models of this kind are presently available. Moreover, short canals reveal a resonance problem, due to the back and forth of waves. This paper is focused on how to choose a suitable model for short canal pools with the purpose of control design. Four simple models are applied to two different types (resonant and non-resonant) of short canals: First order transfer function based on the Hayami model, Muskingum model, Integrator Delay (ID), and Integrator Delay plus Zero (IDZ). Model predictive controllers are developed based on these models and they are tested numerically and experimentally in order to evaluate their contribution to the control effectiveness. The controllers based on the ID and IDZ model showed the best performance.