
moga tuned pi-fuzzy logic control for 3 phase induction motor with
... components: fuzzification, a knowledge base, inference engine, and a defuzzification interface. Each component affects the effectiveness of the fuzzy controller and the behavior of the controlled system. In the fuzzification interface, a measurement of inputs and a transformation, which converts inp ...
... components: fuzzification, a knowledge base, inference engine, and a defuzzification interface. Each component affects the effectiveness of the fuzzy controller and the behavior of the controlled system. In the fuzzification interface, a measurement of inputs and a transformation, which converts inp ...
Design of a Resistive Brake Controller for Power System
... of relative angle and relative speed of the two groups of machines. Of course, the amount of information in these two variables is less than in the 30 variables but will be sufficient according to simulations performed to obtain, after the learning, a good quality closed-loop control law. An RL algo ...
... of relative angle and relative speed of the two groups of machines. Of course, the amount of information in these two variables is less than in the 30 variables but will be sufficient according to simulations performed to obtain, after the learning, a good quality closed-loop control law. An RL algo ...
(3) and
... • Because the drive must be current discontinuous, the motor inductance limits the maximum PWM frequency and, therefore, also the rate at which the speed is sampled. • The PWM frequency, is typically 50–400 Hz. • In the case of very small motors, the mechanical pole and PWM frequency lie close toge ...
... • Because the drive must be current discontinuous, the motor inductance limits the maximum PWM frequency and, therefore, also the rate at which the speed is sampled. • The PWM frequency, is typically 50–400 Hz. • In the case of very small motors, the mechanical pole and PWM frequency lie close toge ...
A Fully Hardware-Implemented PMSM Motion Controller IC Solution
... A Fully Hardware-Implemented PMSM Motion Controller IC Solution Malaysia’s national R&D agency in Information and Communication Technology, MIMOS, together with two local R&D companies has developed the MCGP02I series to efficiently control and manage the performance of Permanent Magnet Synchronous ...
... A Fully Hardware-Implemented PMSM Motion Controller IC Solution Malaysia’s national R&D agency in Information and Communication Technology, MIMOS, together with two local R&D companies has developed the MCGP02I series to efficiently control and manage the performance of Permanent Magnet Synchronous ...
LDM-1000 LVDT/RVDT Signal Conditioning Module SPECIFICATIONS
... noise rejection. The LDM-1000 also provides several different input/output options to accommodate varying PLC and analog I/O requirements: Single-ended voltage outputs with the use of 100% zero suppression to maximize the sensor stroke utilization while simplifying programming (no need to deal wit ...
... noise rejection. The LDM-1000 also provides several different input/output options to accommodate varying PLC and analog I/O requirements: Single-ended voltage outputs with the use of 100% zero suppression to maximize the sensor stroke utilization while simplifying programming (no need to deal wit ...
Una propuesta de control por modo deslizante para convertidores
... This article describes the synthesis of a sliding mode controller SMCr based on a reduced second order linear model using an integral-differential surface of the tracking-error. Different from similar strategies, the tuning parameters keep a close relationship with the system dynamics in terms of co ...
... This article describes the synthesis of a sliding mode controller SMCr based on a reduced second order linear model using an integral-differential surface of the tracking-error. Different from similar strategies, the tuning parameters keep a close relationship with the system dynamics in terms of co ...
lecture7
... • System is time invariant if the behavior and characteristics of the system are fixed over time. • E.g. the RC circuitry where the values of the parameter of the components R and C do not changed with time I.e. constant. • A system is time invariant if a time shift in the input signal results in an ...
... • System is time invariant if the behavior and characteristics of the system are fixed over time. • E.g. the RC circuitry where the values of the parameter of the components R and C do not changed with time I.e. constant. • A system is time invariant if a time shift in the input signal results in an ...
H4148
... Sliding-Mode Controllers are non-linear controllers which are used for controlling the variable structure systems (VSSs) [1]-[3]. The power converters are variable-structured systems due to their high switching action. Hence SM controllers are used for control of power converters [4]. The SM control ...
... Sliding-Mode Controllers are non-linear controllers which are used for controlling the variable structure systems (VSSs) [1]-[3]. The power converters are variable-structured systems due to their high switching action. Hence SM controllers are used for control of power converters [4]. The SM control ...
Supervisory Systems
... System) The distribution management system (DMS) is the next logical step after a utility has implemented an EMS. Initially it was viewed as a means to monitor distribution feeder loads and to control the distribution portion of the substation. ...
... System) The distribution management system (DMS) is the next logical step after a utility has implemented an EMS. Initially it was viewed as a means to monitor distribution feeder loads and to control the distribution portion of the substation. ...
State-Dependent Riccati Equation Control with Predicted Trajectory
... in the nonlinear system characteristics [6] and to then apply the linear time-varying optimal control results. The class of systems being considered are those which can be approximated by a state-space model with time dependent parameters. A restricted class of nonlinear systems is used, which is th ...
... in the nonlinear system characteristics [6] and to then apply the linear time-varying optimal control results. The class of systems being considered are those which can be approximated by a state-space model with time dependent parameters. A restricted class of nonlinear systems is used, which is th ...
OCET-2012 Question Booklet Series : A Sr. No. :
... M.E. (Instrumentation and Control)-A/FRH-41343 11 [Turn over ...
... M.E. (Instrumentation and Control)-A/FRH-41343 11 [Turn over ...
CV21618623
... derived by linearization around a precise operating point from the state space average model. The controllers based on these techniques are simple to implement however, it is difficult to account the variation of systems parameters, because of the dependence of small signal model parameters on the c ...
... derived by linearization around a precise operating point from the state space average model. The controllers based on these techniques are simple to implement however, it is difficult to account the variation of systems parameters, because of the dependence of small signal model parameters on the c ...
Process Control - Department of Mechanical Engineering
... nonlinear things in the system model. Apparently it is just like my Servo Control white paper, but with an important difference. In the tank level problem the nonlinearity is smooth and can be made linear at a particular operating level H by using the slope of the nonlinearity at H. This has the imp ...
... nonlinear things in the system model. Apparently it is just like my Servo Control white paper, but with an important difference. In the tank level problem the nonlinearity is smooth and can be made linear at a particular operating level H by using the slope of the nonlinearity at H. This has the imp ...
Process Control - Department of Mechanical Engineering
... nonlinear things in the system model. Apparently it is just like my Servo Control white paper, but with an important difference. In the tank level problem the nonlinearity is smooth and can be made linear at a particular operating level H by using the slope of the nonlinearity at H. This has the imp ...
... nonlinear things in the system model. Apparently it is just like my Servo Control white paper, but with an important difference. In the tank level problem the nonlinearity is smooth and can be made linear at a particular operating level H by using the slope of the nonlinearity at H. This has the imp ...
Robust Control Design for Three-Phase Power Inverters using Genetic Algorithm Natthaphob Nimpitiwan
... A simplified dynamic model of self-commuted photovoltaic inverter system is proposed in [5]. The voltage control mode is designed to regulate the terminal voltage by supplying reactive power to load. Reference [6] proposes a grid connected PWM voltage source inverter (VSI) to mitigate the voltage fluc ...
... A simplified dynamic model of self-commuted photovoltaic inverter system is proposed in [5]. The voltage control mode is designed to regulate the terminal voltage by supplying reactive power to load. Reference [6] proposes a grid connected PWM voltage source inverter (VSI) to mitigate the voltage fluc ...
controlkhati 21
... Cruise control in a car and a house thermostat are common examples of how controllers are used to automatically adjust some variable to hold a measurement (or process variable) to a desired variable (or set-point) ...
... Cruise control in a car and a house thermostat are common examples of how controllers are used to automatically adjust some variable to hold a measurement (or process variable) to a desired variable (or set-point) ...
Control theory
Control theory is an interdisciplinary branch of engineering and mathematics that deals with the behavior of dynamical systems with inputs, and how their behavior is modified by feedback. The usual objective of control theory is to control a system, often called the plant, so its output follows a desired control signal, called the reference, which may be a fixed or changing value. To do this a controller is designed, which monitors the output and compares it with the reference. The difference between actual and desired output, called the error signal, is applied as feedback to the input of the system, to bring the actual output closer to the reference. Some topics studied in control theory are stability (whether the output will converge to the reference value or oscillate about it), controllability and observability.Extensive use is usually made of a diagrammatic style known as the block diagram. The transfer function, also known as the system function or network function, is a mathematical representation of the relation between the input and output based on the differential equations describing the system.Although a major application of control theory is in control systems engineering, which deals with the design of process control systems for industry, other applications range far beyond this. As the general theory of feedback systems, control theory is useful wherever feedback occurs. A few examples are in physiology, electronics, climate modeling, machine design, ecosystems, navigation, neural networks, predator-prey interaction, gene expression, and production theory.