Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: linear-quadratic optimization problem

Sortuj według:

Ogranicz wyniki do:

Artificial bee colony based state feedback position controller for PMSM servo-drive – the efficiency analysis

Tarczewski T., Niewiara L. J., Grzesiak L. M.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2020

Vol. 68, nr 5

997--1007

This paper presents a state feedback controller (SFC) for position control of PMSM servo-drive. Firstly, a short review of the commonly used swarm-based optimization algorithms for tuning of SFC is presented. Then designing process of current control loop as well as of SFC with feedforward path is depicted. Next, coefficients of controller are tuned by using an artificial bee colony (ABC) optimization algorithm. Three of the most commonly applied tuning methods (i.e. linear-quadratic optimization, pole placement technique and direct selection of coefficients) are used and investigated in terms of positioning performance, disturbance compensation and robustness against plant parameter changes. Simulation analysis is supported by experimental tests conducted on laboratory stand with modern PMSM servo-drive.

Numerical methods for solving the modified filter algebraic riccati Elquation for H-infinity filtering

Horváth Zsolt

Przegląd Elektrotechniczny

2019

R. 95, nr 4

9--15

This paper presents numerical methods for solving the Modified Filter Algebraic Riccati Equation (MFARE) for synthesis of H-infinity fault detection filters. Two methods are presented, namely the gamma-iteration and then rewriting the MFARE in Linear Matrix Inequalities (LMIs) and casting it as a convex optimization problem. Each algorithm has to ensure the condition for a global convergence and also has to deliver an optimal solution. Not at least the computational cost has to be as small as possible.

Zaprezentowano metodę numeryczną rozwiązywania równania MFARE (Modified Filter Algebraic Riccati Equation). Badano dwie metody – iterację gamma i przepisywanie równania w postać Linear Matrix Inequantities.