DETECTION AND CONTROL OF SATURATION LEVEL IN THE MAGNETIC CORE OF A WELDING TRANSFORMER BY ANN DETECTOR AND PI CONTROLLER

2016 ◽  
Vol 4 (4) ◽  
pp. 37 ◽  
Author(s):  
RAMA SUBBANNA S ◽  
SURYAKALAVATHI M ◽  
◽  
Keyword(s):  
Magnetic Core ◽  
Pi Controller ◽  
Saturation Level ◽  
And Control

Design and Implementation of Robust Controllers for an Intelligent Incubation Pisciculture System

2016 ◽  
Vol 1 (1) ◽  
pp. 101
Author(s):  
D. Ganesh ◽  
S.MD. Saleem Naveed ◽  
M. Kalyan Chakravarthi
Keyword(s):  
Embedded System ◽  
Fuzzy Controller ◽  
Pi Controller ◽  
Marine Habitat ◽  
Factors Affecting ◽  
Marine Habitats ◽  
The Embedded System ◽  
Healthy Growth ◽  
Tropical Climates ◽  
And Control

Aquaculture is major occupation for the humans living at coastal areas. The fresh water cultivation of the certain species is prominent in tropical and sub-tropical climates. Here the proposed work shows the relation-ship between the growth of the certain species of marine habitats and the factors affecting their growth with respect to the medium of their living. Advancement of embedded systems in aquaculture leads to new innovations of monitoring and controlling the various parameters. Here the embedded system based application is used, through which the monitoring and controlling of the light is done with the help of LabVIEW based PI controller as well as Fuzzy controller for the effective and healthy growth of the marine habitat. The Designed controllers are energy efficient based controller for controlling the Light Source (LS) via appropriate lighting control levels. The controlling and managing of the system is based on the present light intensity with the help of virtual controller. The proposed work involves the designing and implementation of PI controller and the fuzzy controller for the real time setup to monitor and control the process for optimal and feasible solution.

The Effects of Tuning Controller Gains for Servo Feed Unit Positioning Accuracy

2011 ◽  
Vol 317-319 ◽  
pp. 1974-1978
Author(s):  
Ling Lin Kong ◽  
Duan Neng Li ◽  
Ke Li
Keyword(s):  
Machine Tools ◽  
Laser Interferometer ◽  
Servo System ◽  
Pi Controller ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Positioning Accuracy ◽  
Ac Servo ◽  
And Control ◽  
Feed Unit

Positioning accuracy of servo feed unit makes an important effect to processing precision in CNC machine tools. The effects in positioning accuracy mainly are the precisions of mechanism and servo system. And the actions of tuning controller gains should directly affect the servo system precision. This paper, a servo system model and its P/PI controller has been formulated and simulated, using an AC servo feed unit as a tested. Through tuning gains of P/PI controller, analyses and control the effects for the feed unit positioning accuracy. Ultimately, experiments have been carried out to test feed unit by laser interferometer. Its shows that tuning gains of P/PI controller, which given in paper, has effectively improved the positioning accuracy of servo feed unit.

Modeling and Robust Low Level Control of an Omnidirectional Mobile Robot

2017 ◽  
Vol 139 (4) ◽  
Author(s):  
Ramon Comasolivas ◽  
Joseba Quevedo ◽  
Teresa Escobet ◽  
Antoni Escobet ◽  
Juli Romera
Keyword(s):  
Mobile Robot ◽  
Pi Controller ◽  
Control Technique ◽  
Level Control ◽  
Parameter Uncertainties ◽  
Control Effort ◽  
Friction Forces ◽  
Low Level ◽  
Stability And Control ◽  
And Control

This paper presents the modeling and robust low-level control design of a redundant mobile robot with four omnidirectional wheels, the iSense Robotic (iSRob) platform, that was designed to test safe control algorithms. iSRob is a multivariable nonlinear system subject to parameter uncertainties mainly due to friction forces. A multilinear model is proposed to approximate the behavior of the system, and the parameters of these models are estimated from closed-loop experimental data applying Gauss–Newton techniques. A robust control technique, quantitative feedback theory (QFT), is applied to design a proportional–integral (PI) controller for robust low-level control of the iSRob system, being this the main contribution of the paper. The designed controller is implemented, tested, and compared with a gain-scheduling PI-controller based on pole assignment. The experimental results show that robust stability and control effort margins against system uncertainties are satisfied and demonstrate better performance than the other controllers used for comparison.

scholarly journals Fuzzy Modelling and Control of the Air System of a Diesel Engine

2009 ◽  
Vol 2009 ◽  
pp. 1-14 ◽  
Author(s):  
S. Simani ◽  
M. Bonfè
Keyword(s):  
Diesel Engine ◽  
Fuzzy Controller ◽  
Control Unit ◽  
Pi Controller ◽  
Fuzzy Modelling ◽  
Air System ◽  
Fuzzy Pi Controller ◽  
And Control ◽  
System Controller ◽  
Modelling Approach

This paper proposes a fuzzy modelling approach oriented to the design of a fuzzy controller for regulating the fresh airflow of a real diesel engine. This strategy has been suggested for enhancing the regulator design that could represent an alternative to the standard embedded BOSCH controller, already implemented in the Engine Control Unit (ECU), without any change to the engine instrumentation. The air system controller project requires the knowledge of a dynamic model of the diesel engine, which is achieved by means of the suggested fuzzy modelling and identification scheme. On the other hand, the proposed fuzzy PI controller structure is straightforward and easy to implement with respect to different strategies proposed in literature. The results obtained with the designed fuzzy controller are compared to those of the traditional embedded BOSCH controller.

Nonlinear Control of an Air Handling Unit Using Feedback Linearization

2009 ◽  
Author(s):  
Hamed Moradi ◽  
Majid Saffar-Avval
Keyword(s):  
Air Conditioning ◽  
Feedback Linearization ◽  
Hvac Systems ◽  
Pi Controller ◽  
Hvac System ◽  
Flow Rates ◽  
Air Handling Unit ◽  
Transfer Rules ◽  
And Control ◽  
Dynamic Variables

Heating, ventilation and air conditioning (HVAC) systems are equipments used to maintain satisfactory comfort conditions in buildings. Also, energy consumption of ventilated buildings highly depend on the design, performance and control of HVAC systems. In this paper, nonlinear model of a multi-variable HVAC system is considered in which the control inputs are the air and cool water flow rates. Using thermodynamics and heat transfer rules, differential and consequently state space equations of the system are represented. To achieve a good performance, dynamic variables such as output temperature and relative humidity must be controlled. Using input-output feedback linearization, a PI controller is designed. It is shown that by applying the controller, system tracks from one operating point to another with an appropriate specification of time response. In addition, using feedback linearization guarantees robustness of the system against the parametric uncertainties associated with dynamic model.

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