PPT-Optimization of parameters in PID controllers

Ingrid Didriksen Supervisors Heinz Preisig and Erik Gran Kongsberg Cosupervisor Chriss Grimholt Outline Background Objective Process Problem Approach Background Engineering simulators. The US Environmental Protection Agen cys EPAs WaterSense program labels WBICs that have been certi57375ed by a third party to meet e57374ciency and performance criteria detailed in the WaterSense Speci57375cation for WeatherBased Irrigation Controll Allow for fractions partial data imprecise data Fuzzify the data you have How red is this 1 RGB value 150255 What Is a Fuzzy Controller What Is a Fuzzy Controller Simply put it is fuzzy code designed to control something usually mechanical They ca 01 01 10 20 15 10 5 02 04 06 08 y brPage 4br EE392m Winter 2003 Control Engineering 44 Example Servosystem command More stepper motor flow through a valve motor torque I control Introduce integrator into control Closedloop dynamics gk gk gk IRP Presentation. Spring 2009. Andrew Erdman. Chris Sande. Taoran Li. MicroCART Overview. Autonomous Helicopter. Functional Requirements / IARC. 09-06 Semester Goals. MicroCart. Dec09-06 Goals. Obtain Simulink Model of X-Cell 60 Helicopter. mission. . statement. 2002 .  2013. Mission statement version 9/14/2002. Controllers . design and accompany the management process of goal-finding, planning and controlling and thus are co-responsible for reaching the objectives . An . Overview. PID “Actions”. The PID controller has three . actions. . Each of these has its own purpose:. P-Action is infinitely sensible. The command out to the actuator is proportional to the size of the error. If the error is small, the action is a nudge. If the error is big, the action commanded is large.. pole/zero cancellation. By Frank Owen, PhD, PE. polyXengineering, Inc.. San Luis Obispo, California. This is just one strategy for tuning a . pid. There are many strategies to follow to tune a PID. The most common aims for using a PID are:. of double integrating processes. Chriss Grimholt* and Sigurd Skogestad. *Present . affiliation. : ABB, . Olso. Double integrators: . Outline. They. . are. . common. They. . are. . difficult. to . multilinear. gradient elution in HPLC with Microsoft Excel Macros. Aristotle University of Thessaloniki. A. . Department of Chemistry, Aristotle University of . Thessaloniki. B. Department of Chemical Engineering, Aristotle University of Thessaloniki. Dr. Imtiaz Hussain. Assistant Professor. email: . imtiaz.hussain@faculty.muet.edu.pk. URL :. http://imtiazhussainkalwar.weebly.com/. Lecture-21-22-23. PID. Lecture Outline. Introduction to PID. Modes of Control. by Frank Owen, PhD, PE. polyXengineering, Inc.. San Luis Obispo, California. general aims for any controller. Reduce percent overshoot. Shorten time to reach peak value after a step change (minimize T. By Frank Owen, PhD, PE. polyXengineering, Inc.. San Luis Obispo, California. This is just one strategy for tuning a . pid. There are many strategies to follow to tune a PID. The most common aims for using a PID are:. PID “Actions”. The PID controller has three . actions. . Each of these has its own purpose:. P-Action is infinitely sensible. The command out to the actuator is proportional to the size of the error. If the error is small, the action is a nudge. If the error is big, the action commanded is large.. Radial Basis Functions. Salome Kakhaia, Mariam Razmadze . Supervisors . - . Ramaz Botchorishvili . . Tinatin Davitashvili. Department of Mathematics. Tbilisi State University. 1. August 24, 2018.