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Conference on Intelligent Computing, Information and Control Systems (ICICCS)

作者： Sreepriya, S. Aparna, K. Vinila, M. L. Natl Inst Technol Dept Chem Engn Calicut Kerala India

ISBN: (纸本)9783030304652;9783030304645

PID controllers are used in almost 95% of control loops in the most process industry. Since the design of a controller for an industrial system is complex due to the presence of model uncertainties, nonlinearities, and disturbances, these controllers are usually not tuned optimally and performance is compromised. Robust fixed structure control is a remedy to the problem, and such a controller design is an optimization problem, characterized by nonlinear multimodal large pursuit space, tight constraints, and expensive objective function. The classic optimization method is not appropriate here as a solution set is to be computed. Evolutionary algorithm, a robust search, and optimization method can handle this problem. Covariance Matrix Adapted Evolutionary strategy is successfully utilised to design robust PID controller for Sodium chlorate process. The performance in terms Integral Square Error (ISE) for set point tracking, robust stability and disturbance attenuation was found satisfactory.

关键词： Evolutionary algorithm Sodium chlorate process fixed structure controller Robust control pH control

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Fractional fixed-structure H∞ controller design using Augmented Lagrangian Particle Swarm Optimization with Fractional Order Velocity

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APPLIED SOFT COMPUTING 2019年 77卷 688-695页

作者： Shahri, Esmat Sadat Alaviyan Alfi, Alireza Machado, J. A. Tenreiro Univ Shahrood Fac Elect & Robot Engn Shahrood *** Iran Polytech Porto Dept Elect Engn Inst Engn Dr Rua Antonio Bernardino de Almeida 431 P-4249015 Porto Portugal

The optimization of a fixed-structure controller is in general computationally intractable, posing a challenge to control system engineers. This paper introduces a novel technique for designing such control techniques by formulating it as a nonlinear non-convex constrained problem. A novel PSO algorithm, namely the Augmented Lagrangian Particle Swarm Optimization with Fractional Order Velocity (ALPSOFV), is proposed for improving the convergence rate. The structure of the controller is selectable and, therefore, the Fractional Order Proportional Integral Derivative (FOPID) algorithm is chosen in the scope of the study. The results for three test examples show the good performance of the ALPSOFV. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Fractional calculus fixed structure controller Swarm optimization Robust performance PID controller Augmented Lagrange multiplier method

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A Riccati-genetic algorithms approach to fixed-structure controller synthesis

A Riccati-genetic algorithms approach to fixed-structure con...

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American Control Conference

作者： Farag, A Werner, H Tech Univ Hamburg Inst Control Engn D-2100 Hamburg Germany

ISBN: (纸本)0780383354

A practical approach to the design of controllers with fixed structure (low order, decentralized etc.) that can be tuned via H-2 or H-infinity performance measures is proposed. The design problem is split into a convex subproblem that can involve a large number of decision variables, and a nonconvex subproblem with a small number of decision variables. The former problem can be solved with efficient Riccati solvers, while the latter one is solved using genetic algorithms. The proposed method is flexible and can be used for different H-2 or H-infinity performance or robustness measures. In this paper low-order robust H-2 design and low-order decentralized mixed sensitivity design are presented. Application of these methods to a benchmark problem and a large scale industrial problem demonstrates that the approach is numerically efficient and leads to performance comparable or superior to that of previously published methods.

关键词： fixed structure controller robust control decentralized control algebraic Riccati equation genetic algorithms

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Low-Order Robust Decentralized controller Design for a HVDC Power Link: A Combined Riccati - Genetic Algorithms Approach

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IFAC Proceedings Volumes 2004年第11期37卷 677-681页

作者： A. Farag H. Werner Technical University Hamburg-Harburg Institute of Control Engineering Eissendorfer Str 40 21077 Hamburg Germany Phone +49 40 42878 3015 Fax +49 40 42878 2112

In this paper an iterative technique based on a combination of Riccati solver and Genetic Algorithm (GA) is applied to the problem of designing a decentralized robust low-order controller for a High Voltage DC power link. The design problem is split into a convex subproblem which can be solved efficiently by a Ricatti solver, and a non-convex subproblem which is solved using GA. For a 35th order model of the HVDC link considered here a first order controller that achieves robustness over a wide range of operating conditions is designed by imposing a H ∞ norm constraint. An additional pole region constraint is used to trade nominal performance against robustness.

关键词： fixed structure controller robust control decentralized control algebraic Ricatti equation genetic algorithms

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Control systems: New approaches to analysis and design

Control systems: New approaches to analysis and design

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作者： Mohsenizadeh, Daniel Navid Texas A&M University

学位级别：Ph.D.

This dissertation deals with two open problems in control theory. The first problem concerns the synthesis of fixed structure controllers for Linear Time Invariant (LTI) systems. The problem of synthesizing fixed structure/order controllers has practical importance when simplicity, hardware limitations, or reliability in the implementation of a controller dictates a low order of stabilization. A new method is proposed to simplify the calculation of the set of fixed structure stabilizing controllers for any given plant. The method makes use of computational algebraic geometry techniques and sign-definite decomposition method. Although designing a stabilizing controller of a fixed structure is important, in many practical applications it is also desirable to control the transient response of the closed loop system. This dissertation proposes a novel approach to approximate the set of stabilizing Proportional-Integral-Derivative (PID) controllers guaranteeing transient response specifications. Such desirable set of PID controllers can be constructed upon an application of Widder's theorem and Markov-Lukacs representation of non-negative polynomials. The second problem explored in this dissertation handles the design and control of linear systems without requiring the knowledge of the mathematical model of the system and directly from a small set of measurements, processed appropriately. The traditional approach to deal with the analysis and control of complex systems has been to describe them mathematically with sets of algebraic or differential equations. The objective of the proposed approach is to determine the design variables directly from a small set of measurements. In particular, it will be shown that the functional dependency of any system variable on any set of system design parameters can be determined by a small number of measurements. Once the functional dependency is obtained, it can be used to extract the values of the design parameters.

关键词： Control systems fixed structure controller optimization measurement based approach Thesis

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