LQG-Based Robust Control of Active Automobile Suspension

2003 ◽  
Author(s):  
H. Porumamilla ◽  
A. G. Kelkar
Keyword(s):  
Closed Loop ◽  
Ride Comfort ◽  
Controller Design ◽  
Control Design ◽  
Suspension System ◽  
Robust Controller ◽  
Automobile Suspension ◽  
Active Feedback ◽  
Active Feedback Control ◽  
Robust Controller Design

This paper presents robust controller design for an active automobile suspension system using an interative LQG design technique. The main objective is to design an active feedback control for an automobile suspension system to ensure the ride comfort for passengers in the presence of unknown road disturbances. The control system designed is shown to be robust to uncertainties and parametric variations. The resulting interative LQG-based control design is shown to achieve a significant improvement in the performance, while maintaining a desired level of closed-loop stability that is robust to plant uncertainties and parametric variations. The controller design is also compared to some other active suspension designs published in the literature.

Robust Controller Design to Achieve Active Damping for a MEMS Microphone

2008 ◽  
Author(s):  
Jinli Qu ◽  
Ronald N. Miles ◽  
N. Eva Wu
Keyword(s):  
Closed Loop ◽  
Controller Design ◽  
Active Damping ◽  
Closed Loop System ◽  
Robust Controller ◽  
Nonlinear Simulation ◽  
Mems Microphone ◽  
And Performance ◽  
The Stability ◽  
Robust Controller Design

This paper presented an H∞-controller design to achieve active damping for a MEMS microphone system. The parametric uncertainties introduced by linearization process were modeled. The stability and performance of the closed-loop system were analyzed for the uncertain microphone model and both were shown to be robust. The nonlinear simulation further verifies that the controller offers the desired performance.

A Case Study in Control Methods for Active Magnetic Bearings

2014 ◽  
Author(s):  
Alexander H. Pesch ◽  
Stephen P. Hanawalt ◽  
Jerzy T. Sawicki
Keyword(s):  
Closed Loop ◽  
Controller Design ◽  
Experimental System ◽  
Magnetic Bearings ◽  
Control Law ◽  
Active Magnetic Bearings ◽  
Active Feedback ◽  
Active Feedback Control ◽  
Amb System

Active magnetic bearings (AMBs) provide support to rotating machinery through magnetic forces which are regulated through active feedback control. As AMBs continue to establish themselves as a proven technology, many classical and modern techniques are being employed to address the design of the control law. The current work studies three of the controller design techniques which are common in the literature for AMB applications: PID, LQG, and μ-synthesis. A controller is designed for an AMB system using each of the three techniques. Details of the design processes are given and the resulting controllers are compared. Finally, the controllers are implemented on the experimental system and the closed-loop characteristics are measured and evaluated. This work provides a common case study to demonstrate the strengths and weaknesses of PID, LQG, and μ-synthesis control methodologies as applied to a specific AMB system.

scholarly journals Design of Constrained Robust Controller for Active Suspension of In-Wheel-Drive Electric Vehicles

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 249
Author(s):  
Xianjian Jin ◽  
Jiadong Wang ◽  
Shaoze Sun ◽  
Shaohua Li ◽  
Junpeng Yang ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Ride Comfort ◽  
Controller Design ◽  
Active Suspension ◽  
Suspension System ◽  
Parameter Uncertainties ◽  
Dynamic Vibration Absorber ◽  
Robust Controller ◽  
Wheel Drive ◽  
Suspension Model

This paper presents a constrained robust H∞ controller design of active suspension system for in-wheel-independent-drive electric vehicles considering control constraint and parameter variation. In the active suspension system model, parameter uncertainties of sprung mass are analyzed via linear fraction transformation, and the perturbation bounds can be also limited, then the uncertain quarter-vehicle active suspension model where the in-wheel motor is suspended as a dynamic vibration absorber is built. The constrained robust H∞ feedback controller of the closed-loop active suspension system is designed using the concept of reachable sets and ellipsoids, in which the dynamic tire displacements and the suspension working spaces are constrained, and a comprehensive solution is finally derived from H∞ performance and robust stability. Simulations on frequency responses and road excitations are implemented to verify and evaluate the performance of the designed controller; results show that the active suspension with a developed H∞ controller can effectively achieve better ride comfort and road-holding ability compared with passive suspension despite the existence of control constraints and parameter variations.

scholarly journals LMI Pole Regions for a Robust Discrete-Time Pole Placement Controller Design

Algorithms ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 167
Author(s):  
Danica Rosinová ◽  
Mária Hypiusová
Keyword(s):  
Discrete Time ◽  
Closed Loop ◽  
Controller Design ◽  
Loop System ◽  
Pole Placement ◽  
Linear Matrix ◽  
Closed Loop System ◽  
Robust Controller ◽  
Pole Placement Controller ◽  
Robust Controller Design

Herein, robust pole placement controller design for linear uncertain discrete time dynamic systems is addressed. The adopted approach uses the so called “D regions” where the closed loop system poles are determined to lie. The discrete time pole regions corresponding to the prescribed damping of the resulting closed loop system are studied. The key issue is to determine the appropriate convex approximation to the originally non-convex discrete-time system pole region, so that numerically efficient robust controller design algorithms based on Linear Matrix Inequalities (LMI) can be used. Several alternatives for relatively simple inner approximations and their corresponding LMI descriptions are presented. The developed LMI region for the prescribed damping can be arbitrarily combined with other LMI pole limitations (e.g., stability degree). Simple algorithms to calculate the matrices for LMI representation of the proposed convex pole regions are provided in a concise way. The results and their use in a robust controller design are illustrated on a case study of a laboratory magnetic levitation system.

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