In industrial process control, fluid level control is one of the most basic aspects. Many control methods such as on-off, linear and PID (Proportional Integral Derivative) were developed time by time and used for prec...In industrial process control, fluid level control is one of the most basic aspects. Many control methods such as on-off, linear and PID (Proportional Integral Derivative) were developed time by time and used for precise controlling of fluid level. Due to flaws of PID controller in non-linear type processes such as inertial lag, time delay and time varying etc., there is a need of alternative design methodology that can be applied in both linear and non-linear systems and it can be execute with fuzzy concept. By using fuzzy logic, designer can realize lower development cost, superior feature and better end product. In this paper, level of fluid in tank is control by using fuzzy logic concept. For this purpose, a simulation system of fuzzy logic controller for fluid level control is designed using simulation packages of MATLAB software such as Fuzzy Logic Toolbox and Simulink. The designed fuzzy logic controller first takes information about inflow and outflow of fluid in tank than maintain the level of fluid in tank by controlling its output valve. In this paper, a controller is designed on five rules using two-input and one-output parameters. At the end, simulation results of fuzzy logic based controller are compared with classical PID controller and it shows that fuzzy logic controller has better stability, fast response and small overshoot.展开更多
In the facile of acute energy crises in several countries, conservation of energy becomes a critical factor. The work in this paper describes available method for conservation of energy. It also describes the implemen...In the facile of acute energy crises in several countries, conservation of energy becomes a critical factor. The work in this paper describes available method for conservation of energy. It also describes the implemented results of a field demonstration that also online monitor the usage and generation of electricity. The technique was amply demonstrated in our labs and classrooms. ZigBee Module is developed by Jennic and was used because of its wide range, very low power consumption and complexity. After implementation of this system it successfully conserved and controlled the billing and save about 30% of electricity of the department. The system also provided a wireless system with supplies and generators, thus saving a messy network of wires.展开更多
文摘In industrial process control, fluid level control is one of the most basic aspects. Many control methods such as on-off, linear and PID (Proportional Integral Derivative) were developed time by time and used for precise controlling of fluid level. Due to flaws of PID controller in non-linear type processes such as inertial lag, time delay and time varying etc., there is a need of alternative design methodology that can be applied in both linear and non-linear systems and it can be execute with fuzzy concept. By using fuzzy logic, designer can realize lower development cost, superior feature and better end product. In this paper, level of fluid in tank is control by using fuzzy logic concept. For this purpose, a simulation system of fuzzy logic controller for fluid level control is designed using simulation packages of MATLAB software such as Fuzzy Logic Toolbox and Simulink. The designed fuzzy logic controller first takes information about inflow and outflow of fluid in tank than maintain the level of fluid in tank by controlling its output valve. In this paper, a controller is designed on five rules using two-input and one-output parameters. At the end, simulation results of fuzzy logic based controller are compared with classical PID controller and it shows that fuzzy logic controller has better stability, fast response and small overshoot.
文摘In the facile of acute energy crises in several countries, conservation of energy becomes a critical factor. The work in this paper describes available method for conservation of energy. It also describes the implemented results of a field demonstration that also online monitor the usage and generation of electricity. The technique was amply demonstrated in our labs and classrooms. ZigBee Module is developed by Jennic and was used because of its wide range, very low power consumption and complexity. After implementation of this system it successfully conserved and controlled the billing and save about 30% of electricity of the department. The system also provided a wireless system with supplies and generators, thus saving a messy network of wires.
