Abstract:A Robust Anti-Windup Control (RAWC) method is proposed for n-Degree-of-Freedom (DOF) electrically driven robots considering the actuator voltage saturation. The actuator's saturation is fairly modeled by a smooth nonlinear function and the control design task is developed to avoid windup besides being robust against both model uncertainties and external disturbances. As a major point, the paper also takes into consideration the fact that windup phenomenon can be caused by some strong disturbances. As a result,… Show more
“…Sometimes, the best tracking and regulation performance are achievable by means of large control input magnitude which may exceed the actuators' bounds. Disregard of actuator limits probably brings about system's collapse; in addition, undesired transient response and even damaging the actuators can be the other effects (Izadbakhsh et al (2011)). In Kendoul et al (2007), global asymptotic stability of quadrotor and boundedness of control inputs are guaranteed via nested-saturation based nonlinear controller.…”
This paper focuses on robust optimal adaptive control strategy to deal with tracking problem of a quadrotor unmanned aerial vehicle (UAV) in presence of parametric uncertainties, actuator amplitude constraints, and unknown time-varying external disturbances. First, Lyapunov-based indirect adaptive controller optimized by particle swarm optimization (PSO) is developed for multi-input multi-output (MIMO) nonlinear quadrotor to prevent input constraints violation, and then disturbance observer-based control (DOBC) technique is aggregated with the control system to attenuate the effects of disturbance generated by an exogenous system. The performance of synthesis control method is evaluated by a new performance index function in time-domain, and the stability analysis is carried out using Lyapunov theory. Finally, illustrative numerical simulations are conducted to demonstrate the effectiveness of the presented approach in altitude and attitude tracking under several conditions, including large time-varying uncertainty, exogenous disturbance, and control input constraints.
“…Sometimes, the best tracking and regulation performance are achievable by means of large control input magnitude which may exceed the actuators' bounds. Disregard of actuator limits probably brings about system's collapse; in addition, undesired transient response and even damaging the actuators can be the other effects (Izadbakhsh et al (2011)). In Kendoul et al (2007), global asymptotic stability of quadrotor and boundedness of control inputs are guaranteed via nested-saturation based nonlinear controller.…”
This paper focuses on robust optimal adaptive control strategy to deal with tracking problem of a quadrotor unmanned aerial vehicle (UAV) in presence of parametric uncertainties, actuator amplitude constraints, and unknown time-varying external disturbances. First, Lyapunov-based indirect adaptive controller optimized by particle swarm optimization (PSO) is developed for multi-input multi-output (MIMO) nonlinear quadrotor to prevent input constraints violation, and then disturbance observer-based control (DOBC) technique is aggregated with the control system to attenuate the effects of disturbance generated by an exogenous system. The performance of synthesis control method is evaluated by a new performance index function in time-domain, and the stability analysis is carried out using Lyapunov theory. Finally, illustrative numerical simulations are conducted to demonstrate the effectiveness of the presented approach in altitude and attitude tracking under several conditions, including large time-varying uncertainty, exogenous disturbance, and control input constraints.
“…Then, according to Fig. 1, we have This result, together with (5), (11) and (17), gives (17) e(t) + k p e(t) =̃ T (x) + dzn(u(t), u ) + (x) The last inequality will be negative definite if As a result, the link position-tracking error is bounded. Since e is bounded, boundedness of q can be obtained, whereas q d is bounded.…”
A comprehensive comparison between single-loop and multi-loop control of electrically driven robots with elastic joint (EDREJ) is addressed in this paper. It should be emphasized that most of previous approaches presented for EDREJ utilize back-stepping-based control strategy. In order to have a satisfactory performance in these approaches, the internal signals should converge to their desired trajectories defined by the designer. Usually, these desired trajectories are known as fictitious control signals. In flexible-joint electrically driven robots, each joint is modeled by a 5th-order cascade differential equation. Thus, back-stepping-based approach seems complicated and time-consuming. Therefore, the best idea is focusing on the convergence of the system output and meanwhile guaranteeing boundedness of other states (internal signals). Consequently, the control law dimension and its implementation costs are reduced. The proposed single-loop controller design strategy is founded on the actuators' electrical subsystem. The closed-loop controlled system is established as BIBO stable, and the link position-tracking errors are uniformly bounded. Experimental implementations support the viability of the suggested theoretical results.
“…For practical situations, the actuator input voltages are subjected to some constraints, called motor saturation limits. This occurs usually between output of the controller and the PWM module . Following the same notation as in Reference , for the development of the controller in this article, we assume that the relation between the actual actuator's input ( v ( t ) ∈ ℜ n ) and the control signal produced by the controller ( u ( t ) ∈ ℜ n ) is given by where h ( u ( t )) ∈ ℜ n is a continuous nonlinear function representing the saturation nonlinearity or its approximation.…”
Section: Dynamic Modelingmentioning
confidence: 99%
“…Following the same notation as in Reference , for the development of the controller in this article, we assume that the relation between the actual actuator's input ( v ( t ) ∈ ℜ n ) and the control signal produced by the controller ( u ( t ) ∈ ℜ n ) is given by where h ( u ( t )) ∈ ℜ n is a continuous nonlinear function representing the saturation nonlinearity or its approximation. As shown in Reference the nonimplemented control signal of the actuators can be expressed as …”
This article presents a robust adaptive controller for electrically driven robots using Bernstein polynomials as universal approximator. The lumped uncertainties including unmodeled dynamics, external disturbances, and nonimplemented control signals (they assumed as a function of time, instead a function of several variables) are represented with this powerful mathematical tool. The polynomial coefficients are then tuned based on the adaptation law obtained in the stability analysis. A comprehensive approach is adopted to include the saturated and unsaturated areas and also the transition between these areas in the stability analysis. As a result, the stability and the performance of the proposed controller have been improved considerably in dealing with actuator saturation. Also, in comparison with a recent paper based on uncertainty estimation using Taylor series, the proposed controller is less computational due to reducing the size of the matrix of convergence rate. A performance evaluation has been carried out to verify satisfactory performance of transient response of the controller.Simulation results on a Puma560 manipulator actuated by geared permanent magnet dc motors have been presented to guarantee its satisfactory performance.
K E Y W O R D Sactuator saturation, adaptive uncertainty estimation, Bernstein polynomials, electrically driven robots, stability analysis 1 Int J Robust Nonlinear Control. 2020;30:2719-2735.wileyonlinelibrary.com/journal/rnc
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