4.6 Article

A Class of Proportional-Integral With Anti-Windup Controllers for DC-DC Buck Power Converters With Saturating Input

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSII.2019.2913336

Keywords

Closed loop systems; Stability analysis; Windup; Inductors; Voltage measurement; Erbium; Tuning; Input saturation; buck power converter; anti-windup; proportional-integral control; LaSalle's invariance principle; real-time experiments

Funding

  1. Consejo Nacional de Ciencia y Tecnologia [A1-S-24762]
  2. Secretaria de Investigacion y Posgrado del Instituto Politecnico Nacional, Mexico

Ask authors/readers for more resources

In dc-dc buck power converters, a control action which is negative or greater than one has no physical meaning and is noncausal. For the sake of realism, the nonlinearity accompanying input saturation is taken into account in a model of dc-dc buck power converters, for which a Lyapunov function-based class of proportional-integral with anti-windup (PIAW) algorithms is given. Simple tuning guidelines ensure the global asymptotical stability of the closed-loop system. Neither the class of controllers nor the tuning procedure require the exact knowledge of the parameters of the power converter. To illustrate the results, a novel design matching the proposed class of controllers is given and the results of real-time experimental tests are presented, including the implementation of the linear proportional-integral (PI) control and a known anti-windup (AW) approach. The results confirm that the proposed PIAW control has the best performance even though saturation limits are activated and disturbances are present.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Automation & Control Systems

Output feedback controller for trajectory tracking of robot manipulators without velocity measurements nor observers

Raul Rascon, Javier Moreno-Valenzuela

IET CONTROL THEORY AND APPLICATIONS (2020)

Article Computer Science, Artificial Intelligence

Adaptive RBF neural network-based control of an underactuated control moment gyroscope

Jorge Montoya-Chairez, Fracisco G. Rossomando, Ricardo Carelli, Victor Santibanez, Javier Moreno-Valenzuela

Summary: Radial basis function (RBF) neural networks are effective in control systems for learning processes and resisting disturbances, making them suitable for robust trajectory tracking control of complex underactuated mechanical systems. This document presents a new method using an adaptive neural network with RBF to solve the problem of trajectory tracking of an underactuated control moment gyroscope, achieving convergence of trajectory tracking error to zero and bounded internal dynamics solutions. Experimental comparisons validate the proposed method against model-based controllers, cascade PID schemes, regressor-based controllers, and previously studied adaptive neural network-based controllers.

NEURAL COMPUTING & APPLICATIONS (2021)

Article Chemistry, Multidisciplinary

Sensorless Control for DC-DC Boost Converter via Generalized Parameter Estimation-Based Observer

Xiaoyu Zhang, Mizraim Martinez-Lopez, Wei He, Yukai Shang, Chen Jiang, Javier Moreno-Valenzuela

Summary: This paper addresses the sensorless control problem of DC-DC boost converters by proposing a PI-PBC control method and a GPEBO observer. By utilizing these methods, a sensorless controller is developed, ensuring the exponential convergence of the overall closed-loop system.

APPLIED SCIENCES-BASEL (2021)

Article Automation & Control Systems

Energy regulation for a torque-driven vertical inertia wheel pendulum

Jesus Sandoval, Jeronimo Moyron, Rafael Kelly, Victor Santibanez, Javier Moreno-Valenzuela

Summary: This paper addresses the energy regulation of a torque-driven vertical inertia wheel pendulum, which allows for oscillatory motion of the non-actuated pendulum around its upright position through the motion of the actuated inertia wheel. The proposed energy regulator is capable of inducing oscillations of the pendulum with a user-specified desired amplitude, achieving locally asymptotically an oscillatory motion of the pendulum around its upright position. Simulation and experimental results demonstrate the performance of the proposed controller on a torque-driven inertia wheel pendulum.

CONTROL ENGINEERING PRACTICE (2021)

Article Automation & Control Systems

Combined adaptive neural network and regressor-based trajectory tracking control of flexible joint robots

Jorge Montoya-Chairez, Javier Moreno-Valenzuela, Victor Santibanez, Ricardo Carelli, Fracisco G. Rossomando, Ricardo Perez-Alcocer

Summary: A novel adaptive controller for flexible joint robots is proposed based on the input-output feedback linearization approach in this work. The controller is developed using adaptive neural network and dynamic regressor to stabilize the output function and define the desired rotor position, ensuring the differentiability of the controller.

IET CONTROL THEORY AND APPLICATIONS (2022)

Article Automation & Control Systems

Saturated Proportional-integral-type Control of UWMRs with Experimental Evaluations

Javier Moreno-Valenzuel, Luis Gonzalo Montoya-Villegas, Ricardo Perez-Alcocer, Raul Rascon

Summary: In this paper, a saturated proportional-integral (PI)-type controller for unicycle-type wheeled mobile robots (UWMRs) is designed, which is robust to external disturbances and keeps the control within admissible limits. Experimental results show that the proposed PI-type controller achieves the best trajectory tracking performance with bounded control action.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2022)

Article Automation & Control Systems

A robust nonlinear PI-type controller for the DC-DC buck-boost power converter

Mizraim Martinez-Lopez, Javier Moreno-Valenzuela, Wei He

Summary: In this study, a novel Lyapunov function-based robust nonlinear proportional-integral (PI)-type controller is proposed for regulating the output voltage of a DC-DC inverting buck-boost power converter operating in continuous conduction mode (CCM). The control scheme ensures global asymptotic stability of the closed-loop system even with parameter uncertainty. The closed-loop trajectories are analyzed using the Lyapunov method and LaSalle's invariance principle. The proposed scheme demonstrates robustness to additive disturbances and provides simple gain tuning guidelines. Real-time experiments support the theoretical results, and experimental tests show that the proposed PI-type control design performs consistently well under line and load disturbances.

ISA TRANSACTIONS (2022)

Article Engineering, Electrical & Electronic

Constrained Trajectory Tracking Control of a Mobile Robot by Limited Integrator Anti-Windup

J. Moreno-Valenzuela

Summary: This paper proposes a proportional plus limited integrator anti-windup (P+LIAW) scheme for constrained trajectory tracking control of mobile robots. A Lyapunov stability analysis is provided for the P+LIAW approach in trajectory tracking control of a mobile robot for the first time.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2022)

Article Automation & Control Systems

Global asymptotic stability of input-saturated one degree-of-freedom Euler-Lagrange systems with Rayleigh dissipation under nonlinear control

Javier Moreno-Valenzuela, Jeronimo Moyron, Mizraim Martinez-Lopez, Marco Jimenez-Quiroz

Summary: This manuscript addresses the regulation of one degree-of-freedom Euler-Lagrange systems subject to input saturation. It presents the design and analysis of a nonlinear static state feedback controller. The results show that the closed-loop equilibrium point is globally asymptotically stable with a strict Lyapunov function using Lyapunov's direct method. The proposed control law is unconstrained and can be simplified to a proportional-derivative with desired gravity compensation algorithm.

INTERNATIONAL JOURNAL OF CONTROL (2023)

Article Engineering, Aerospace

Adaptive neural network-based trajectory tracking outer loop control for a quadrotor

Ivan Lopez-Sanchez, Jeronimo Moyron, Javier Moreno-Valenzuela

Summary: This manuscript introduces a novel adaptive neural network-based controller for trajectory tracking of quadrotors. The controller is designed as an outer loop controller interacting with an inner loop controller in a two-loop configuration, ensuring robustness and convergence.

AEROSPACE SCIENCE AND TECHNOLOGY (2022)

Article Engineering, Mechanical

Periodic motion generation with a time-varying offset for fully actuated torque-driven mechanical systems using energy regulation

Jorge Villalobos-Chin, Jesus Sandoval, Rafael Kelly, Victor Santibanez, Javier Moreno-Valenzuela

Summary: This paper presents a novel approach to generating desired periodic motions for torque-driven fully actuated mechanical systems. The approach utilizes energy shaping plus damping injection and allows the user to specify a periodic motion with a time-varying offset. The stability of the closed-loop system is analyzed using LaSalle's Theorem and the Poincare-Bendixson criterion.

NONLINEAR DYNAMICS (2022)

Article Automation & Control Systems

Nonlinear PID-Type Control of Flexible Joint Robots by Using Motor Position Measurements Is Globally Asymptotically Stable

Jeronimo Moyron, Javier Moreno-Valenzuela, Jesus Sandoval

Summary: This document discusses the important subject of the local or global asymptotic stability of the closed-loop system equilibrium point in the position control of robot manipulators, particularly when an integral action is added to the control loop. While global nonlinear proportional-integral-derivative (PID) controllers have been introduced for rigid joint robot manipulators, it is much more challenging to design and analyze such controllers for flexible joint robot manipulators, with only local asymptotic stability results reported. Thus, a novel global regulator for flexible joint robots is presented here, which considers a nonlinear integral action and uses a estimator subsystem to replace motor velocity measurements. The proposed nonlinear PID-type controller establishes conditions on the controller gains based on closed-loop system analysis, leading to global asymptotic stability. Experimental results on a two degrees-of-freedom serial flexible joint robot are also presented and discussed.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2023)

Article Automation & Control Systems

A GES joint position trajectory tracking smooth controller of torque-driven robot manipulators affected by disturbances

Jesus Sandoval, Luis Cervantes-Perez, Victor Santibanez, Javier Moreno-Valenzuela, Rafael Kelly

Summary: This paper presents a controller for joint position tracking of torque-driven robot manipulators affected by torque disturbances. The proposed approach achieves global exponential stability of the closed-loop system under constant disturbances and proves the boundedness of trajectories under time-varying disturbances. The control law and nonlinear observer based on an alternative energy shaping approach contribute to the compensation of unknown disturbances. The stability analysis based on Lyapunov theory and input-to-state stability is also provided. Real-time experiments on a manipulator arm demonstrate the performance of the proposed controller.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2023)

Article Engineering, Electrical & Electronic

Robust Velocity and Load Observer for a General Noisy Rotating Machine

Carlos Aguilar-Ibanez, Manuel A. Jimenez-Lizarraga, Isaac Gandarilla-Esparza, Javier Moreno-Valenzuela, Belem Saldivar, Miguel S. Suarez-Castanon, Jose de Jesus Rubio

Summary: This paper presents a design of a nonlinear observer for a rotatory machine with noise-affected output. The proposed observer reformulates the original linear model as a nonlinear system to incorporate the desired signals to be estimated, leveraging the algebraic state-dependent Riccati equation for robust estimation. Lyapunov analysis guarantees convergence of the estimation error. The effectiveness of the observer is validated through numerical simulations and real-time experiments.

MACHINES (2022)

Article Computer Science, Information Systems

Saturated Visual-Servoing Control Strategy for Nonholonomic Mobile Robots With Experimental Evaluations

Ricardo Perez-Alcocer, Luis Gonzalo Montoya-Villegas, Angel Eduardo Lopez-Martinez, Javier Moreno-Valenzuela

Summary: The novel saturated visual control strategy for nonholonomic mobile robots presented focuses on the stabilization problem, using saturation bounds for control actions to avoid exceeding physical restrictions of the actuators. Analysis using the theory of non-autonomous cascade systems ensures global uniform asymptotic stability, with experimental validation showing the effectiveness of the approach.

IEEE ACCESS (2021)

No Data Available