Modeling and Control Design for Active Trailer Steering of Heavy Vehicles

2017 ◽  
Author(s):  
Jesse Brown ◽  
Yuping He ◽  
Haoxiang Lang
Keyword(s):  
Degrees Of Freedom ◽  
Load Transfer ◽  
Linear Quadratic Regulator ◽  
Heavy Vehicles ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Software Packages ◽  
Lqr Controller ◽  
Control Evaluation ◽  
And Control

This paper presents a linear quadratic regulator (LQR) controller for active trailer steering (ATS) of a tractor-semitrailer. The tractor-semitrailer is modelled as a linear yaw/roll model with 5 Degrees-Of-Freedom (DOF). The linear yaw/roll model is validated with a nonlinear tractor-semitrailer model developed with TruckSim under a simulated single lane-change maneuver. Then, the validated linear yaw/roll model is used to design the LQR controller for ATS. The TruckSim model and the LQR controller are integrated by means of an interface between the software packages of TruckSim and Matlab/Simulink. The LQR controller is assessed using numerical simulation of the TruckSim model with and without the ATS control. Evaluation of the controller is based on the performance measures of the trailer in terms of rearward amplification (RA), peak roll angle, and load transfer ratio (LTR). It is demonstrated that the LQR controller leads to the decrease the peak values of the aforementioned measures by 4.81%, 20.7%, and 33%, respectively.

Modeling and Control of a Complex Interacting Process

2011 ◽  
Vol 403-408 ◽  
pp. 3758-3762
Author(s):  
Subhajit Patra ◽  
Prabirkumar Saha
Keyword(s):  
Storage System ◽  
Linear Quadratic Regulator ◽  
Model Parameters ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Dynamic Matrix ◽  
Liquid Storage ◽  
Efficient Control ◽  
And Control

In this paper, two efficient control algorithms are discussed viz., Linear Quadratic Regulator (LQR) and Dynamic Matrix Controller (DMC) and their applicability has been demonstrated through case study with a complex interacting process viz., a laboratory based four tank liquid storage system. The process has Two Input Two Output (TITO) structure and is available for experimental study. A mathematical model of the process has been developed using first principles. Model parameters have been estimated through the experimentation results. The performance of the controllers (LQR and DMC) has been compared to that of industrially more accepted PID controller.

scholarly journals System design for inverted pendulum using LQR control via IoT

2020 ◽  
Vol 11 ◽  
pp. 12
Author(s):  
Dechrit Maneetham ◽  
Petrus Sutyasadi
Keyword(s):  
Inverted Pendulum ◽  
Control Method ◽  
Linear Quadratic Regulator ◽  
Linear Quadratic ◽  
Lqr Control ◽  
Lqr Controller ◽  
Model Tuning ◽  
And Performance ◽  
Performance Results ◽  
And Control

This research proposes control method to balance and stabilize an inverted pendulum. A robust control was analyzed and adjusted to the model output with real time feedback. The feedback was obtained using state space equation of the feedback controller. A linear quadratic regulator (LQR) model tuning and control was applied to the inverted pendulum using internet of things (IoT). The system's conditions and performance could be monitored and controlled via personal computer (PC) and mobile phone. Finally, the inverted pendulum was able to be controlled using the LQR controller and the IoT communication developed will monitor to check the all conditions and performance results as well as help the inverted pendulum improved various operations of IoT control is discussed.

Real Time Modeling and Control of Three Tank Hybrid System

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
K. Sathishkumar ◽  
V. Kirubakaran ◽  
T. K. Radhakrishnan
Keyword(s):  
Real Time ◽  
Controller Design ◽  
Linear Quadratic Regulator ◽  
Estimation Model ◽  
Linear Quadratic ◽  
Loop Control ◽  
Modeling And Control ◽  
Time Modeling ◽  
Lqr Controller ◽  
Servo Tracking

AbstractThis study discusses the modeling and linear quadratic regulator (LQR) controller based closed loop control of a three tank hybrid (TTH) process. A pseudo random binary signal (PRBS) based excitation data obtained from a real time TTH setup is utilized in validating its first principle model (FPM). Based on top and bottom interactions, various modes prevalent are considered based on steady state physical reachability analysis of the TTH for a given input range for controller design. The FPM is linearized using nominal values of process parameters using Jacobians from each existing mode. LQR controllers are designed for each mode. A supervisory structure is designed for selecting estimation model and controller for each appropriate mode. Results from real time servo tracking and disturbance rejection experiments are discussed.

scholarly journals Rotor-Flying Manipulator: Modeling, Analysis, and Control

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Bin Yang ◽  
Yuqing He ◽  
Jianda Han ◽  
Guangjun Liu
Keyword(s):  
Controller Design ◽  
Linear Quadratic Regulator ◽  
Linear Quadratic ◽  
Combined System ◽  
Underwater Robots ◽  
Modeling Analysis ◽  
Full State Feedback ◽  
Lqr Controller ◽  
Linearized Model ◽  
And Control

Equipping multijoint manipulators on a mobile robot is a typical redesign scheme to make the latter be able to actively influence the surroundings and has been extensively used for many ground robots, underwater robots, and space robotic systems. However, the rotor-flying robot (RFR) is difficult to be made such redesign. This is mainly because the motion of the manipulator will bring heavy coupling between itself and the RFR system, which makes the system model highly complicated and the controller design difficult. Thus, in this paper, the modeling, analysis, and control of the combined system, called rotor-flying multijoint manipulator (RF-MJM), are conducted. Firstly, the detailed dynamics model is constructed and analyzed. Subsequently, a full-state feedback linear quadratic regulator (LQR) controller is designed through obtaining linearized model near steady state. Finally, simulations are conducted and the results are analyzed to show the basic control performance.

Dynamics Analysis and Control Method of a Novel Spherical Robot

2009 ◽  
Author(s):  
Hanxu Sun ◽  
Yili Zheng ◽  
Qingxuan Jia
Keyword(s):  
Control Method ◽  
Linear Quadratic Regulator ◽  
High Rate ◽  
Pd Controller ◽  
Velocity Control ◽  
Spherical Robot ◽  
Linear Quadratic ◽  
Lqr Controller ◽  
Gyroscopic Effects ◽  
And Control

A novel omni-directional rolling spherical robot equipped with a high-rate flywheel (BYQ-V) is presented; the mechanical structure of the robot are given, and the gyroscopic effects of high-rate flywheel can improve the dynamic stability of the robot. The simplified dynamic model of the robot is derived based on the constrained Lagrangian method. Moreover, a Linear Quadratic Regulator (LQR) controller and a Percentage Derivative (PD) controller are designed to implement the pose and velocity control of the robot respectively, Finally, the control method are validated through continuous circle motion experiment. This robot is designed for territory or lunar exploration in the future.

Analysis and Control of Aeromechanical Instabilities in Helicopters

2015 ◽  
Author(s):  
Salini S. Nair ◽  
Ranjith Mohan
Keyword(s):  
Active Control ◽  
Degrees Of Freedom ◽  
Linear Quadratic Regulator ◽  
Pole Placement ◽  
Control Input ◽  
Linear Quadratic ◽  
Stability Margins ◽  
Stiffness Variation ◽  
Wake Model ◽  
And Control

The paper focuses on analysis of aeromechanical instabilities, specifically ground resonance in helicopters and active control methods for improving the existing stability margins. First, a simplified model of coupled rotor-fuselage system with translational fuselage degrees of freedom and blade lead-lag degree of freedom is considered. Anisotropy is introduced through stiffness variation between blades. Depending on the configuration, appropriate methods are used for stability analysis and to determine frequency coalescence. Second, similar analysis is extended to a model with fuselage pitch, roll and blade flap, lag degrees of freedom and incorporates wake model. The analysis brings out effects of collective pitch and lock number on aeromechanical instabilities with the inclusion of wake model. Active control strategy using pole placement technique and Linear Quadratic Regulator (LQR) is applied to the periodic system. Stabilization is done by increasing the aerodynamic damping through control input given either as cyclic or collective pitch.

Aeromechanics and Control of a Shrouded Rotor Micro Air Vehicle in Hover and in Edgewise Flow

2011 ◽  
Vol 56 (4) ◽  
pp. 1-14 ◽  
Author(s):  
Vikram Hrishikeshavan ◽  
Inderjit Chopra
Keyword(s):  
Linear Quadratic Regulator ◽  
Micro Air Vehicle ◽  
Pitching Moment ◽  
Attitude Dynamics ◽  
Linear Quadratic ◽  
Air Vehicle ◽  
Lqr Controller ◽  
Dynamics And Control ◽  
And Control ◽  
Shrouded Rotor

Shrouded rotors are efficient in hover but are quite sensitive to disturbances in external flow. In this paper, the dynamics and control of a shrouded rotor micro air vehicle is studied in hover and when it is subjected to edgewise gust. The importance of incorporating a hingeless rotor in a shrouded rotor configuration was shown and was flight-tested in hover using a proportional-integral attitude feedback controller. In edgewise flow, the shrouded rotor produced up to 300% higher pitching moment than the unshrouded rotor. To counter this pitching moment, the control moments were about 80–100% higher for the shrouded rotor. Time domain attitude dynamics identification of the vehicle, restrained in translation, was conducted with and without the flybar. It was shown to be desirable to incorporate a flybarless rotor for improved maneuverability and hover efficiency. A linear quadratic regulator (LQR) controller was developed based on the extracted attitude dynamics model. Gust disturbance rejection capabilities of the controller were tested with the vehicle in edgewise flow using a spherical gimbal setup. The shrouded vehicle was found to tolerate up to 2 m/s of edgewise gusts, whereas the unshrouded configuration could reject gusts of up to 4.8 m/s.

Multivariable modeling and control of an activated sludge process

1998 ◽  
Vol 37 (12) ◽  
pp. 149-156 ◽  
Author(s):  
Carl-Fredrik Lindberg
Keyword(s):  
Activated Sludge ◽  
Nitrate Concentration ◽  
State Space Model ◽  
Activated Sludge Process ◽  
Invariant State ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Space Model ◽  
And Control ◽  
Time Invariant

This paper contains two contributions. First it is shown, in a simulation study using the IAWQ model, that a linear multivariable time-invariant state-space model can be used to predict the ammonium and nitrate concentration in the last aerated zone in a pre-denitrifying activated sludge process. Secondly, using the estimated linear model, a multivariable linear quadratic (LQ) controller is designed and used to control the ammonium and nitrate concentration.

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