Multi-Objective Optimization and Parameter Tuning for Turbine PID Controller

2013 ◽  
Vol 779-780 ◽  
pp. 971-976
Author(s):  
Yuan Sheng Lin ◽  
Yong Li ◽  
Fei Fei Song ◽  
Da Wei Teng
Keyword(s):  
Decision Making ◽  
Pid Controller ◽  
Optimization Technique ◽  
Disturbance Attenuation ◽  
Subsequent Stage ◽  
Multi Objective Optimization ◽  
Pareto Solution ◽  
Acceptable Solution ◽  
Multi Objective ◽  
Multi Attribute Decision Making

The tuning of PID controller parameters is the most important task in PID design process. A new tuning method is presented for PID parameters, based on multi-objective optimization technique and multi-attribute decision making method. Three performances of a PID controller, i.e. the accurate set point tracking, disturbance attenuation and robust stability are studied simultaneously. These specifications are usually competitive and any acceptable solution requires a tradeoff among them. A hybrid approaches is proposed. In the first stage, a Non-dominated Sorting Genetic Algorithm II (NSGA II) is employed to approximate the set of Pareto solution through an evolutionary optimization process. In the subsequent stage, a multi-attribute decision making (MADM) approach is adopted to rank these solutions from best to worst and to determine the best solution in a deterministic environment with a single decision maker. The ranking of Pareto solution is based on entropy weight and TOPSIS method. A turbine PID design example is conducted to illustrate the analysis process in present study. The effectiveness of this universal framework is supported by the simulation results.

Multi-Objective Optimization Based Multi-Objective Controller Tuning Method with Robust Stabilization of Fractional Calculus CSTR

2021 ◽  
Vol 16 ◽  
pp. 375-382
Author(s):  
T. Sudha
Keyword(s):  
Decision Making ◽  
Fractional Order ◽  
Pid Controller ◽  
Genetic Evaluation ◽  
Performance Estimation ◽  
Multi Criteria Decision Making ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Flower Pollination ◽  
Fractional Order Pid

In Continuous Stirred Tank Reactor (CSTR) have Fractional order PID with the nominal order PID controller has been used to Multi-Criteria Decision Making (MCDM) and EMO (Evolutionary Multi-objective Optimization) by adjustment of control parameters like Hybrid methods in Multi objective optimization. But, this Fractional order PID with the nominal PID controller has maximum performance estimation. Proposed research work focused the Flower Pollination Algorithm based on Multi objective optimization with Genetic evaluation and Fractional order PID with the nominal PID controller is provides CSTR results. When a flower is displayed to maximum variations in this practical state, the Genetic evaluation has been used to identify the variations. The FPID (Flower Pollination Integral Derivative) is used for tuning the parameters of a Fractional order PID with the nominal PID controller for each region to improve the multi-criteria decision making. FPID also denoted as Flower Optimization Integral Derivative (FOID). The Genetic evaluation scheduler has been combined with multiple local linear Fractional order PID with the nominal PID controller to check the stability of loop for entire regions with various levels of temperatures. MATLAB results demonstrate that the feasibility of using the proposed Fractional order PID with the nominal PID controller compared than the existing PID controller, and it shows the FOID attained better results.

scholarly journals The Implementation of Multi-Objective Optimization on the Basis of Ratio Analysis Method to Select the Lecturer Assistant Working at Computer Laboratorium

2018 ◽  
Vol 7 (2.13) ◽  
pp. 352 ◽  
Author(s):  
Tonni Limbong ◽  
Janner Simarmata ◽  
S Sriadhi ◽  
A R S Tambunan ◽  
Enny Keristiana Sinaga ◽  
...  
Keyword(s):  
Decision Making ◽  
Test Score ◽  
Optimization Technique ◽  
Simple Calculation ◽  
Ratio Analysis ◽  
Analysis Method ◽  
Multi Objective Optimization ◽  
Grade Point ◽  
Multi Objective ◽  
Number Of Classes

A lecturer assistant is expected to be professional when dealing with the score or decision. Being professional, the lecturer assistant will be constantly respected by the students. The lecturer assistant should be able to make use of the time to keep the disciplinary. Selecting and determining the lecturer assistant at Computer Science of Unika St. Thomas Medan are conducted by the phases of selecting and taking value of the test score, the semester of lecturer assistant candidate, the number of classes to be assisted, cumulative grade point achievement, and the score of the assisted course. The Method of Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) is in the part of Decision Support System introduced by Brauers dan Zavadkas. This method is the multi-objective optimization technique which is successfully applied to solve the various complicated decision-making and well-used in terms of lecturer assistant selection due to its simple calculation and easiness to understand.  

scholarly journals Pemilihan Marketplace Di Masa Pandemi Covid-19 Menggunakan Metode MOORA

2021 ◽  
Vol 6 (2) ◽  
pp. 149
Author(s):  
Sultan Chaeruddin ◽  
Icih Sukarsih ◽  
Respitawulan Respitawulan
Keyword(s):  
Decision Making ◽  
Optimization Method ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
New Normal ◽  
Multi Objective ◽  
Multi Attribute Decision Making ◽  
The Right ◽  
Almost All ◽  
Moora Method

AbstrakPandemi COVID-19 telah melanda hampir di seluruh dunia. Pandemi ini juga merupakan sebuah masa dimana masyarakat dituntut melaksanakan kebiasaan baru atau dikenal dengan New Normal. Kebiasaan baru ini juga mempengaruhi cara masyarakat dalam berbelanja khususnya berbelanja di marketplace. Dengan memilih marketplace yang tepat maka masyarakat atau konsumen dapat memenuhi kebutuhan seperti produk kesehatan dan rumah tangga yang paling dicari di masa pandemi. Metode Multi Objective Optimization on The Basis of Ratio Analysis atau MOORA adalah salah satu metode dari Multi Attribute Decision Making. Metode MOORA dapat digunakan untuk menentukan rekomendasi marketplace di masa pandemi COVID-19. Hasil yang diharapkan adalah diperoleh alternatif terbaik berdasarkan penilaian masyarakat dan perhitungan menggunakan metode MOORA sehingga dapat terlihat pula perilaku konsumen di masa pandemi dan menjadi masukkan bagi perusahaan marketplace di masa yang akan datang.Kata kunci - Pandemi COVID-19; Marketplace; MOORAThe COVID-19 pandemic has hit almost all over the world. This pandemic is also a period when people are required to carry out new habits, known as the New Normal. This new habit also affects the way people shop, especially shopping in the marketplace. By choosing the right marketplace, the community or consumers can meet needs such as health and household products that are most sought after during a pandemic. The Multi Objective Optimization method on The Basis of Ratio Analysis or MOORA is one of the methods of Multi Attribute Decision Making. The MOORA method can be used to determine marketplace recommendations during the COVID-19 pandemic. The expected result is that the best alternative is obtained based on community assessment and calculations using the MOORA method so that consumer behavior can also be seen during the pandemic and become input for marketplace companies in the future.

Tuning of Ship Heading Controller Based on Minimum Rate of Energy Dissipation and Multi-Attribute Decision Making Method

2013 ◽  
Vol 765-767 ◽  
pp. 1951-1955
Author(s):  
Zheng Mao Tang ◽  
De Xie
Keyword(s):  
Decision Making ◽  
Pid Controller ◽  
Disturbance Attenuation ◽  
Weighting Method ◽  
Point Tracking ◽  
Pareto Optimal Set ◽  
Multi Objective Genetic Algorithm ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Dynamic Quality

The PID control is most widely used in industry and its parameters setting is an important issue in the field of automatic control. In this paper, a novel tuning strategy based on multi-objective genetic algorithm (MOGA) and multi-attribute decision-making (MADM) method was proposed. The proposed strategy can balance the four performances simultaneously regarding accurate set-point tracking, disturbance attenuation, robust stability and energy consumption for actuator. The estimated Pareto-optimal set was obtained by MOGA and then an appropriate solution was selected from the set by ranking with a simple additive weighting method (SAW). To demonstrate the proposed strategy, an example of the ship course PID controller with filter for a 150,000-ton tanker with steering gear was studied. The results show that the PID controller is stable and robust with high dynamic quality.

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