Feedforward and Feedback Optimal Control of Autonomous Profiling Monitoring Underwater Vehicle with Disturbance

2014 ◽  
Vol 602-605 ◽  
pp. 970-973 ◽  
Author(s):  
Hua Mu ◽  
Jian Yuan
Keyword(s):  
Optimal Control ◽  
Linear System ◽  
Feedback Linearization ◽  
Vertical Plane ◽  
Underwater Vehicle ◽  
Linearization Method ◽  
Control Law ◽  
Control Scheme ◽  
System States ◽  
Feedback Optimal Control

The optimal control of autonomous profiling monitoring underwater vehicle (APMUV) is investigated. Firstly, dynamics equations in vertical plane with disturbances are constructed, and the equations are converted into a linear system by feedback linearization method and then feedforward and feedback optimal control (FFOC) law is designed for the linear system. To solve the unpractical problem of the control law, we construct a disturbance observer to observe the system states to make a quick convergance of the observed system states. Numerical simulations show the effectiveness of the control scheme

Vibration Control of the Elastodynamic Response of High-Speed Flexible Linkage Mechanisms

1991 ◽  
Vol 113 (1) ◽  
pp. 14-21 ◽  
Author(s):  
C. K. Sung ◽  
Y. C. Chen
Keyword(s):  
Optimal Control ◽  
High Speed ◽  
State Feedback ◽  
Control Law ◽  
Luenberger Observer ◽  
Control Scheme ◽  
Feedback Optimal Control ◽  
Optimal Control Scheme ◽  
Observation Spillover ◽  
Flexible Linkage

A methodology for suppressing the elastodynamic responses of high-speed flexible linkage mechanisms by employing a state feedback optimal control scheme is proposed. This permits the mechanisms to be subjected to controlled dynamic inputs generated by several pairs of suitably-selected piezoelectric ceramics while additional piezoceramics are utilized as sensing devices. This optimal control scheme includes a feedback control law and a Luenberger observer. The instabilities caused by the combined effect of control and observation spillover are investigated and carefully prevented. Finally, numerical simulation is performed to evaluate the improvement of the elastodynamic responses.

Stabilization of the Ship Motion by Restricted Control

2020 ◽  
Vol 28 (4) ◽  
pp. 106-123
Author(s):  
G.M. Dovgobrod ◽  
Keyword(s):  
Feedback Linearization ◽  
Control Algorithm ◽  
Linearization Method ◽  
Ship Motion ◽  
Control Law ◽  
Motion Model ◽  
Lateral Deviation ◽  
Bounded Curvature ◽  
Trajectory Attractor ◽  
Singularity Point

. The article presents an algorithm for controlling the motion of an insufficiently controlled ship along a trajectory with a continuous bounded curvature, based on the feedback linearization method. The algorithm allows restricting the control signal, while the state vector of the ship motion model does not approach the singularity point of the control law. The control algorithm returns the ship to the specified trajectory-attractor at any lateral deviation of the ship from the specified trajectory.

scholarly journals Combination of Two Nonlinear Techniques Applied to a 3-DOF Helicopter

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
P. Ahmadi ◽  
M. Golestani ◽  
S. Nasrollahi ◽  
A. R. Vali
Keyword(s):  
Convergence Rate ◽  
Feedback Linearization ◽  
Sliding Mode ◽  
Control Law ◽  
Sliding Mode Controller ◽  
Control Methods ◽  
Control Effort ◽  
Control Techniques ◽  
Control Scheme ◽  
Feedback Linearization Control

A combination of two nonlinear control techniques, fractional order sliding mode and feedback linearization control methods, is applied to 3-DOF helicopter model. Increasing of the convergence rate is obtained by using proposed controller without increasing control effort. Because the proposed control law is robust against disturbance, so we only use the upper bound information of disturbance and estimation or measurement of the disturbance is not required. The performance of the proposed control scheme is compared with integer order sliding mode controller and results are justified by the simulation.

scholarly journals Adaptive Dynamic Programming based Control Scheme for Uncertain Two-Wheel Robots

2021 ◽  
Author(s):  
Linh Nguyen
Keyword(s):  
Optimal Control ◽  
Dynamic Programming ◽  
Adaptive Dynamic Programming ◽  
Control Law ◽  
Parameter Uncertainties ◽  
Adaptive Dynamic ◽  
Uncertain Dynamics ◽  
Control Scheme ◽  
State Controller ◽  
Optimal Control Scheme

<div>The paper addresses the problem of effectively controlling a two-wheel robot given its inherent non-linearity and parameter uncertainties. In order to deal with the unknown</div><div>and uncertain dynamics of the robot, it is proposed to employ the adaptive dynamic programming, a reinforcement learning based technique, to develop an optimal control law. It is interesting that the proposed algorithm does not require kinematic parameters while finding the optimal state controller is guaranteed. Moreover, convergence of the optimal control scheme is theoretically proved. The proposed approach was implemented in a synthetic</div><div>two-wheel robot where the obtained results demonstrate its</div><div>effectiveness.</div>

A Successive Approximation Approach of Nonlinear Optimal Control with R-Rank Persistent Disturbances

2011 ◽  
Vol 130-134 ◽  
pp. 1862-1866
Author(s):  
Shi Yong Ma
Keyword(s):  
Optimal Control ◽  
Successive Approximation ◽  
Nonlinear Optimal Control ◽  
Suboptimal Control ◽  
Control Law ◽  
Approximation Approach ◽  
Nonlinear Compensation ◽  
Successive Approximation Approach ◽  
Feedback Optimal Control ◽  
Persistent Disturbances

A new feedforward and feedback optimal control law for a class of nonlinear systems with persistent disturbances is presented in this paper. By using a successive approximation approach (SAA), the original nonlinear optimal control problem is transformed into a sequence of nonhomogeneous linear two-point boundary value (TPBV) problems. The optimal control law obtained consists of analytical linear feedforward and feedback terms and a nonlinear compensation term which is the limit of the solution sequence for the adjoint vector differential equations. By using the finite-step iteration of nonlinear compensation sequence, we can obtain a feedforward and feedback suboptimal control law. A disturbance observer is designed to get a physically realizable controller. Simulation examples show the effectiveness of the approach.

Nonlinear Control of an Inverted Pendulum on a Cart by a Single Control Law

2013 ◽  
Vol 464 ◽  
pp. 279-284 ◽  
Author(s):  
Aydın Özbey ◽  
Erol Uzal ◽  
Hüseyin Yildiz
Keyword(s):  
Nonlinear Control ◽  
Global Stability ◽  
Mechanical System ◽  
Feedback Linearization ◽  
Numerical Experiments ◽  
Inverted Pendulum ◽  
Vertical Position ◽  
Control Law ◽  
Underactuated Mechanical System ◽  
Control Scheme

Stabilization at the top vertical position of an inverted pendulum on a cart, while bringing the cart to a desired position, by applying a force to the cart is considered. This is an underactuated mechanical system for which the main nonlinear control scheme, feedback linearization, fails. A single control law producing the force on the cart using cart velocity, and position and velocity of the pendulum is developed and shown, by numerical experiments, to asymptotically stabilize the pendulum at the top position while bringing the cart to its origin, although no attemp is made for a proof of global stability.

A Nonlinear Automatic Landing Control System for a UAV

2011 ◽  
Author(s):  
Ghassan M. Atmeh ◽  
Wahba I. Al-Taq ◽  
Zeaid Hasan
Keyword(s):  
Feedback Linearization ◽  
Linearization Method ◽  
State Feedback Control ◽  
Control Law ◽  
Control Input ◽  
Nonlinear Controller ◽  
Nonlinear Simulation ◽  
Automatic Landing ◽  
Ground Effects ◽  
Linear State

An automatic landing system for an unmanned aerial vehicle (UAV) is presented in the following paper. The nonlinear aircraft model with thrust, elevator, rudder and aileron deflections as control inputs is established using the appropriate aerodynamic data. The flight trajectory the airplane is expected to travel during landing is then defined. A nonlinear control law, using feedback linearization method, is designed to develop the automatic landing controller for the UAV aircraft. A linear state-feedback control law is also designed for means of comparison with the nonlinear controller. The elevator is employed for longitudinal control whereas the rudder and aileron aid in lateral control. Thrust is the control input for velocity control, which is held constant during landing. A nonlinear simulation, incorporating wind shear and ground effects, is run using MATLAB/Simulink to assess the controllers’ integrity. The auto-landing system designed in this paper is meant to increase the autonomy of the UAV to eventually reach a fully autonomous system. Simulation results show the importance of designing the controller considering such effects. Landing trajectory tracking performance by the nonlinear controller is of great tone.

Design of Optimal Control for a Stratospheric Airship Based on Generalized Coordinate Frame

2012 ◽  
Vol 466-467 ◽  
pp. 587-591
Author(s):  
Ming Zhu ◽  
Yong Mei Wu ◽  
Ze Wei Zheng
Keyword(s):  
Optimal Control ◽  
Feedback Linearization ◽  
Coordinate Frame ◽  
Control Law ◽  
Nonlinear Dynamic Model ◽  
Stratospheric Airship ◽  
Feedback Linearization Control ◽  
And Performance ◽  
Six Degree Of Freedom ◽  
Generalized Coordinate

An optimal control is presented in this paper. First, nonlinear dynamic model of a six degree of freedom stratospheric airship, traditional and full-actuated, is built based on generalized coordinate frame. Second, optimal control law is determined by Hamilton function and performance index function. This optimal control can be regarded as extension of feedback linearization control law.

scholarly journals Fault-Tolerant Region-Based Control of an Underwater Vehicle with Kinematically Redundant Thrusters

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Zool H. Ismail ◽  
Ahmad ’A. Faudzi ◽  
Matthew W. Dunnigan
Keyword(s):  
Lyapunov Function ◽  
Numerical Simulations ◽  
Fault Tolerant ◽  
Underwater Vehicle ◽  
Control Law ◽  
Redundancy Resolution ◽  
Control Approach ◽  
Control Scheme ◽  
The Stability

This paper presents a new control approach for an underwater vehicle with a kinematically redundant thruster system. This control scheme is derived based on a fault-tolerant decomposition for thruster force allocation and a region control scheme for the tracking objective. Given a redundant thruster system, that is, six or more pairs of thrusters are used, the proposed redundancy resolution and region control scheme determine the number of thruster faults, as well as providing the reference thruster forces in order to keep the underwater vehicle within the desired region. The stability of the presented control law is proven in the sense of a Lyapunov function. Numerical simulations are performed with an omnidirectional underwater vehicle and the results of the proposed scheme illustrate the effectiveness in terms of optimizing the thruster forces.

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