Ayman A. Aly

Fuzzy Temperature Control of A Thermoelectric Cooler

Thermoelectric coolers (TEC) are used in a variety of applications that require extremely stable temperature control. In this paper a fuzzy controller is applied for the cold-end temperature control of a thermoelectric cooler. Fuzzy inference parameters which include the rule base and the shapes of the membership functions are tuned via simulation. The fuzzy control system was examined under variable cooling load and ambient temperature with different memberships functions. The mathematical results show that the cold-end temperature can be maintain at the fixed value within plusmn 0.0045degC, irrespective of the variation of the cooling load and the ambient conditions.

Intelligent fuzzy control for antilock brake system with road-surfaces identifier

Antilock brake system (ABS) which is a nonlinear system may not be easily controlled by classical control methods. An additional challenging issue that manipulated in this search is the case of the so-called split-mu braking condition, where braking occurs while the wheels travel on different road surfaces. An intelligent fuzzy ABS controller is designed to adjust slipping performance for variety of roads. The fuzzy optimizer finds immediately the optimal wheel slips for the new surface and forces the actual wheel slips to track the optimal reference wheel slips. The simulation results show that proposed ABS algorithm ensures the avoiding of wheels blockage, even in different road conditions. Moreover, as a free model strategy, the obtained fuzzy control is advantageous from viewpoint of reducing design complexity and, also, antisaturating, antichattering and robustness properties of the controlled system.

Effect of non-linearities in fuzzy approach for control a two -area interconnected power system

This paper describes the application of the fuzzy logic controller method on load frequency power systems. Integral and PID controllers are designed and compared with fuzzy logic controller. The controller employ local feedback signal from the output to the input. To validate the effectiveness of the proposed controller, a single-area and two-area power system are simulated over a wide range of operating conditions and system parameters change. Moreover, system non-linearity such as Generation Rate Constraint (GRC) and governor dead band have been included in the simulation studies. Further, comparative studies between the conventional integral control, PID control and proposed efficient fuzzy logic load frequency control are included on the simulation results. To analyze the time response of area frequency deviations and net interchange deviation following a small load change in one of the areas in an inter connected two-area power system under different control modes, to study the effect of changes in controller parameters on the response and to select the optimal set of parameters for the controller to obtain the best response under different operating conditions.

Intelligent fuzzy controller with road surfaces identifier for antilock brake system

Antilock brake system (ABS) which is a non-linear system may not be easily controlled by classical control methods. An additional challenging issue that manipulated in this search is the case of the so-called split-mu braking condition, where braking occurs while the wheels travel on different road surfaces. An intelligent fuzzy ABS controller is designed to adjust slipping performance for variety of roads. The fuzzy optimiser finds immediately the optimal wheel slips for the new surface and forces the actual wheel slips to track the optimal reference wheel slips. The simulation results show that proposed ABS algorithm ensures the avoiding of wheel’s blockage, even in different road conditions. Moreover, as a free model strategy, the obtained fuzzy control is advantageous from viewpoint of reducing design complexity and, also, anti-saturating, anti-chattering and robustness properties of the controlled system.

Optimization of Desiccant Absorption System Using a Genetic Algorithm

Optimization of the open absorption desiccant cooling system has been carried out in the present work. A finite difference method is used to simulate the combined heat and mass transfer processes that occur in the liquid desiccant regenerator which uses calcium chloride (CaCl2) solution as the working desiccant. The source of input heat is assumed to be the total radiation incident on a tilted surface. The system of equations is solved using the Matlab-Simulink platform. The effect of the important parameters, namely the regenerator length, desiccant solution flow rate and concentration, and air flow rates, on the performance of the system is investigated. In order to optimize the system performance, a genetic algorithm technique has been applied. The system coefficient of performance COP has been maximized for different design parameters. It has been found that the maximum values of COP could be obtained for different combinations of regenerator length solution flow rate and air flow rate. Therefore, it is essential to select the design parameters for each ambient condition to maximize the performance of the system.

Genetic - PID control for a fire tube boiler

Fire tube shell boiler is probably one of the most widely used boilers in the process industries and residential areas for process heating and steam/hot water supply. To achieve optimal design and operation of these plants, precise control system design is required. The closed loop control problem of the process is investigated, where high static accuracy and high speed of response with no overshoot are required as a technical design criterion. The proportional, integral and derivative (PID) and genetic-PID polices are applied to control both of the water/steam temperature and the water level of the plant. The powerful capabilities of tuning PID controller based on genetic algorithm in locating the optimal solutions to a given optimization problem are exploited by determining the parameter of the PID controller in order to meet specified performance objectives. The fire tube boiler that fitted with genetic-PID controller has a reliable dynamic performance as compared with the system fitted with PID controller