Chapter 2 Literature Review Theory and law PID Controller PID controller is one of the methods for temperature control and is widely used in process control industry due to simple design and easy to implement in industrial [1]. PID controller consists of three controllers, which is proportional (P) controller, Integral (I) controller, and derivative (D) controller [2]. The equation for output of the PID control can be described as: u(t)=K(e(t)+ 1/T_i ∫_0^t▒〖e(τ) dτ+ T_(d ) de(t)/dt〗)
Conventional PID controller is one of the most widely used controllers in industry, it have remained, by far; the most commonly used in practically all industrial feedback control applications. The main reason is its relatively simple structure, which can be easily understood and implemented in practice. On the other hand the recent advancement in fractional calculus has introduced applications of fractional order calculus in control theory. One of the prime applications of fractional calculus is
describe the most controller type of controllers that are particularly appropriate for control engineering applications, Which is a PID Controller, We applying this controller to control the speed of BLDC motor, in which its parameters are tuned by many methods such as Ziegler-Nichols method and optimization techniques which include genetic algorithm (GA) and artificial bee colony algorithm (ABC). The chapter is organized as follows. In Section 3.1 a conventional PID controller is introduced. Section
PID controllers are the most widely-used type of controller for industrial applications. They are structurally simple and exhibit robust performance over a wide range of operating conditions. In the absence of the complete knowledge of the process these types of controllers are the most efficient of choices. The main function of PID controller is to minimize the error, A PID calculates the error between the measured process variable and desired set point and then gives a corrective action to adjust
Introduction A magnetic bearing is a type of bearing that holds up a load using magnetic levitation. Scientists first discovered the magnetic effects in magnetic minerals in 500B.C. In the late 20th century, scientists began developing ways where this magnetic effect could be implemented into a bearing, creating magnetic bearings. Today, magnetic bearings can be found in many applications where no physical contact is required or extreme environmental conditions exists, including very high and low
1. Introduction The electric motors are widely used in model life. In task 3, it is required to design an escalator in this task. To reduce the energy consumption, the control system should be designed as working in two models, high speed or low speed when there is no people use the escalator. The specific requirements are listed as below: 1. Suitable sensors are chosen to detect the number of people in the escalator. 2. The escalator operates at a high speed mode when there is a person
Nowadays, because of the fast evolution of electronic device, The recent developments in permanent magnet materials, solid state devices and microelectronic have led to the appearance of a new energy efficient drives using permanent magnet brushless direct current motors (PMBLDCM). Brushless direct current (BLDC) motors are preferred as small horsepower control motors because their efficiency is very high, the operation is in a silent mode, has a compact form, contains high precision, low maintenance
INTRODUCTION PID CONTROLLER: In the presentation we demonstrate the attributes of the Proportional (p), Integral (i) and Derivative(d) controller. A proportional-integral-derivative controller (PID controller) is a control loop feedback mechanism (controller) widely used in industrial control systems. A PID controller calculates an error value as the difference between a measured
Control II: PID Motor Control Lab Nicholas Evan Sizemore MEGR 3171L Section L07 15 November 2014 Theory PID controllers, also known as a proportional integral device controller, are one of the most commonly used controllers in industry. A PID algorithm is derived from three coefficients. These tuning parameters are the proportional, integral and derivative coefficients, which are adjusted per device to obtain an optimal response. The sole purpose of a PID controller is to control
Chapter 2 2.1 Fuzzy Logic Controller Fuzzy logic is a type of multi valued logic. It deals with approximate reasoning rather than precise. Fuzzy logic derived from fuzzy set theory. Fuzzy logic was first proposed by Lotfi Zadeh in 1965. Fuzzy logic has currently used in control theory, artificial intelligence systems specially to control complex aircraft engines and control surfaces, helicopter control, messile guidance, automatic transmission, wheel slip control