scholarly journals Luenberger Observer Gain Optimization in Model Predictive Control System for Car Active Suspension

2021 ◽  
Vol 25 (2) ◽  
pp. 5-10
Author(s):  
Grzegorz Maślak ◽  
Przemysław Orłowski
Keyword(s):  
Control Systems ◽  
Predictive Control ◽  
Kalman Filters ◽  
Active Suspension ◽  
Point Of View ◽  
State Variables ◽  
Luenberger Observer ◽  
Generalized System ◽  
Different Types ◽  
Gain Optimization

MPC Driven control systems very often are requiring the introduction of a mechanism predicting the state of the object unavailable for measurements. Depending on the case, a different number of state variables will be unobtainable. Widely used systems to obtain essential data of the condition of an object are Luenberger state observer and different types of Kalman filters. The authors propose a new method of Luenberger observer synthesis based on Luenberger gain optimization using performance index corresponding to generalized system performance. The developed method allows us to obtain better-performing observer from the point of view of the adopted criterion, compared to similar estimators derived from the Sylvester equation and classic Kalman filters, even despite the occurrence of disturbances. The developed method will be presented on an example of an active suspension system with MPC.

Explicit Model Predictive Control for Inverted Pendulum Systems

2020 ◽  
Author(s):  
Mateus Mussi Brugnolli ◽  
Bruno Augusto Angélico
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Inverted Pendulum ◽  
Parametric Optimization ◽  
Control Technique ◽  
Explicit Model ◽  
Complete Control ◽  
Explicit Model Predictive Control ◽  
Different Types

Model Predictive Control is a control technique that has been greatly investigated in recent years. It has the versatility of different types of models for the prediction of the system and aptitude to handle the system constraints. In the last decade, the multi-parametric optimization has been applied to the control theory that allowed for the MPC optimization to be performed offline, which was denominated as explicit Model Predictive Control. This work investigates the application of this control technique in Inverted Pendulum systems, which are commonly used as didactic control systems. The complete control design is described considering its validation for two Inverted Pendulum systems through simulations.

Decorative motifs on oil lamps from Grimm's 1973 excavations in Alexandria

2019 ◽  
Author(s):  
Heba Abdel Wahed Sayed
Keyword(s):  
Point Of View ◽  
Symbolic Meaning ◽  
Ancient History ◽  
Different Types ◽  
Decorative Motifs ◽  
Egyptian Culture ◽  
Late Roman

A collection of 30 clay oil lamps from Gunther Grimm's excavations in 1973 in the Western necropolis of Alexandria has been classified by Safaa Samir Abu Al Yazid from Tanta University and found to represent 12 different types ranging in time from the Hellenistic to the late Roman periods in Egypt's ancient history. The present paper looks at this collection from the point of view of the symbolic significance of the decorative motifs used in their decoration. These motifs— figural, floral and geometric—had obvious symbolic meaning to their users and signified more than a simple belief in certain deities. They also reflected Roman Egyptian culture.

Predictive, Deadbeat, and Combined Controls

2018 ◽  
Author(s):  
Sadegh Vaez-Zadeh
Keyword(s):  
Control Systems ◽  
Predictive Control ◽  
Direct Torque Control ◽  
Fast Response ◽  
Torque Control ◽  
Control Methods ◽  
Electric Motors ◽  
Operating Cycle ◽  
Combined Control ◽  
The One

In this chapter, three control methods recently developed for or applied to electric motors in general and to permanent magnet synchronous (PMS) motors, in particular, are presented. The methods include model predictive control (MPC), deadbeat control (DBC), and combined vector and direct torque control (CC). The fundamental principles of the methods are explained, the machine models appropriate to the methods are derived, and the control systems are explained. The PMS motor performances under the control systems are also investigated. It is elaborated that MPC is capable of controlling the motor under an optimal performance according to a defined objective function. DBC, on the other hand, provides a very fast response in a single operating cycle. Finally, combined control produces motor dynamics faster than one under VC, with a smoother performance than the one under DTC.

scholarly journals Adaptive Semi-Active Suspension and Cruise Control through LPV Technique

2020 ◽  
Vol 11 (1) ◽  
pp. 290
Author(s):  
Hakan Basargan ◽  
András Mihály ◽  
Péter Gáspár ◽  
Olivier Sename
Keyword(s):  
Control Systems ◽  
Active Suspension ◽  
Cruise Control ◽  
Linear Parameter Varying ◽  
Trade Off ◽  
Look Ahead ◽  
Vehicle Velocity ◽  
Suspension Control ◽  
Road Data ◽  
Terrain Characteristics

Several studies exist on topics of semi-active suspension and vehicle cruise control systems in the literature, while many of them just consider actual road distortions and terrain characteristics, these systems are not adaptive and their subsystems designed separately. This study introduces a new method where the integration of look-ahead road data in the control of the adaptive semi-active suspension, where it is possible to the trade-off between comfort and stability orientation. This trade-off is designed by the decision layer, where the controller is modified based on prehistorical passive suspension simulations, vehicle velocity and road data, while the behavior of the controller can be modified by the use of a dedicated scheduling variable. The adaptive semi-active suspension control is designed by using Linear Parameter Varying (LPV) framework. In addition to this, it proposes designing the vehicle velocity for the cruise controller by considering energy efficiency and comfort together. TruckSim environment is used to validate the operation of the proposed integrated cruise and semi-active suspension control system.

The Control of the Eye's Intrinsic Muscles: A Multivariable Optimum Performance Control System

1968 ◽  
Vol 1 (8) ◽  
pp. T.129-T.132 ◽  
Author(s):  
F. M. Toates
Keyword(s):  
Control System ◽  
Control Systems ◽  
Pupil Diameter ◽  
Control Model ◽  
Point Of View ◽  
Theoretical Point ◽  
Pupil Control ◽  
Performance Control ◽  
A Value ◽  
Intrinsic Muscles

The reciprocal interaction between the accommodation and pupil control systems of the human eye is examined from a theoretical point of view. The system, which is responsible for maintaining pupil diameter at a value which is a compromise between conflicting requirements, is represented by a control model, and is considered in terms of the concept of a performance index.

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