H∞ Structural Controller Design Based on Absolute Acceleration Measurement

1995 ◽  
Author(s):  
Nariyasu Yamada ◽  
Akira Nishitani
Keyword(s):  
Control System ◽  
System Design ◽  
Structural Control ◽  
Controller Design ◽  
Design Procedure ◽  
Control System Design ◽  
Building Structure ◽  
Acceleration Response ◽  
Acceleration Measurement ◽  
Absolute Acceleration

Abstract This paper discusses the H∞ structural control system design procedure for a building structure on the basis of the measurement of the top floor absolute acceleration response. The discussion covers the design procedure from its basic concept to its details. The validity of the presented H∞ controller design is experimentally demonstrated.

scholarly journals Algorithms for U-Model-Based Dynamic Inversion (UM-Dynamic Inversion) for Continuous Time Control Systems

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Ruobing Li ◽  
Quanmin Zhu ◽  
Janice Kiely ◽  
Weicun Zhang
Keyword(s):  
Control System ◽  
System Design ◽  
Continuous Time ◽  
Design Procedure ◽  
Control System Design ◽  
Dynamic Inversion ◽  
Wind Energy Conversion ◽  
Model Based ◽  
Time Control ◽  
Energy Conversion System

To setup a universal proper user toolbox from previous individual research publications, this study generalises the algorithms for the U-model dynamic inversion based on the realisation of U-model from polynomial and state-space described continuous-time (CT) systems and presents the corresponding U-control system design in a systematic procedure. Then, it selects four CT dynamic plants plus a wind energy conversion system for simulation case studies in Matlab/Simulink to test/demonstrate the proposed U-model-based design procedure and dynamic inversion algorithms. This work can be treated as a U-control system design user manual in some sense.

scholarly journals Modeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7125
Author(s):  
Matija Krznar ◽  
Danijel Pavković ◽  
Mihael Cipek ◽  
Juraj Benić
Keyword(s):  
Control System ◽  
System Design ◽  
Power Unit ◽  
Power Distribution ◽  
Rotational Speed ◽  
Controller Design ◽  
Combustion Engine ◽  
Control System Design ◽  
Proportional Integral ◽  
Hybrid Power

This paper presents the results of modeling, control system design and simulation verification of a hybrid-electric drive topology suitable for power flow control within unmanned aerial vehicles (UAVs). The hybrid power system is based on the internal combustion engine (ICE) driving a brushless DC (BLDC) generator supplying the common DC bus used for power distribution within the aircraft. The overall control system features proportional-integral-derivative (PID) feedback control of the ICE rotational speed using a Luenberger estimator for engine-generator set rotational speed estimation. The BLDC generator active rectifier voltage and current are controlled by proportional-integral (PI) feedback controllers, augmented by estimator-based feed-forward load compensators. The overall control system design has been based on damping optimum criterion, which yields straightforward analytical expressions for controller and estimator parameters. The robustness to key process parameters variations is investigated by means of root-locus methodology, and the effectiveness of the proposed hybrid power unit control system is verified by means of comprehensive computer simulations.

Flight control system design with H ∞ loop-shaping approach through non-diagonal weights

2009 ◽  
Vol 113 (1145) ◽  
pp. 477-458 ◽  
Author(s):  
R. Panesi ◽  
G. Mengali
Keyword(s):  
Control System ◽  
System Design ◽  
Flight Control ◽  
Design Procedure ◽  
Fast Response ◽  
Effective Control ◽  
Control System Design ◽  
Simulink Model ◽  
Loop Shaping ◽  
Pointing Control

Abstract This paper deals with the design methodology of multi-variable flight control systems through a H ∞ loop-shaping technique. A new procedure for the design of non-diagonal pre-and post-compensators is described. In particular, important improvements over existing methods are introduced to both make the selection of weights easier and to contain the order of the resulting controller. The new procedure can be easily managed through suitable Matlab commands and functions, thus simplifying the whole algorithm implementation and providing an effective control system design with a minimum effort. Two typical design problems are addressed: a pitch pointing control system and a lateral controller for coordinated turns. In both cases, a good decoupling between existing channels is obtained by means of a non-diagonal pre-compensator which shapes the plant transfer function, and provides the desired response settling time. The design approach is particularly effective even for nominal plants with strong cross-coupling between channels. The design procedure is illustrated with the aid of a Matlab/Simulink model of a single seat fighter aircraft. We show that a trade-off between the conflicting requirements of fast response and moderate use of control surfaces can be easily managed by varying the constant terms of the diagonal post-compensator.

scholarly journals Robust Control System Design for Multivariable Plants With Lightly Damped Modes

2007 ◽  
Author(s):  
D. Nelson-Gruel ◽  
P. Lanusse ◽  
A. Oustaloup ◽  
V. Pommier
Keyword(s):  
Control System ◽  
System Design ◽  
Transfer Matrix ◽  
Transfer Functions ◽  
Controller Design ◽  
Open Loop ◽  
Bench Mark ◽  
Control System Design ◽  
Stabilizing Controller ◽  
Robust Control System

A robust controller design is proposed for the active suspension system bench-mark problem. The CRONE control system design used is extended to unstable multivariable plants with lightly damped modes and RHP zeros. Decoupling and stabilizing controller K, is achieved for the open-loop transfer matrix. Fractional order transfer functions are used to define all the components of the diagonal open-loop transfer matrix, β. In defining the fractional open-loop transfer function β0i some elements of the plants, G0 and its inverse must be considered to achieve the stable controller. Optimisation provides the best fractional open-loop βopt. Finally, frequency domain system identification is used to find controller K=G0−1 βopt.

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