Related Experiment Video
Updated: Nov 3, 2025
06:04
Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
Published on: February 14, 2025
738
Nonlinear Stabilization Controller for the Boost Converter with a Constant Power Load in Both Continuous and
Juan Gerardo Parada Salado1, Carlos Alonso Herrera Ramírez2, Allan Giovanni Soriano Sánchez3
1Department of Electronics, Celaya Institute of Technology, Celaya 38010, Mexico.
Micromachines
|June 2, 2021
Summary
New mathematical models and a nonlinear control law stabilize Boost converters operating in discontinuous conduction mode (DCM) or continuous conduction mode (CCM). This ensures stable operation across wide voltage and load variations, crucial for applications like biomedicine.
Area of Science:
- Electrical Engineering
- Power Electronics
- Control Systems
Background:
- Boost converters in discontinuous conduction mode (DCM) offer advantages like reduced inductor size and high efficiency, finding use in diverse fields.
- Existing control strategies often rely on single-mode operation or linearized models, failing under wide operating ranges where mode transitions and instability can occur.
- Constant Power Loads (CPLs) and wide input/output voltage variations are common in advanced applications, challenging traditional converter control.
Purpose of the Study:
- To develop conduction mode-independent mathematical models for Boost converters with resistive or CPLs.
- To design a nonlinear control law that ensures stability for Boost converters across different conduction modes.
- To validate the proposed models and control strategy through theoretical analysis and experimental testing.
Main Methods:
- Development of novel, conduction mode-independent mathematical models for Boost converters.
- Design of a nonlinear control law utilizing a common-Lyapunov function for stability analysis.
- Implementation and testing of the proposed control strategy on a Boost converter system.
Main Results:
- The proposed models accurately represent Boost converter dynamics irrespective of the conduction mode (DCM or CCM).
- The nonlinear control law effectively stabilizes the Boost converter, even with unstable CPL dynamics.
- Numerical and experimental results confirm the effectiveness and robustness of the proposed control approach.
Conclusions:
- Conduction mode-independent modeling and nonlinear control are essential for stable Boost converter operation under wide-ranging conditions.
- The proposed control strategy enhances the reliability of Boost converters in demanding applications.
- This work provides a foundation for advanced control of power electronic converters in complex systems.
Keywords:
boost converterconstant power loaddiscontinuous conduction modenonlinear controlswitched systemMore Related Videos
11:53The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
11.9K
09:01Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
Published on: April 4, 2017
8.8K
Related Concept Videos
01:26PD Controller: Design
422
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
422
01:24PI Controller: Design
703
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
703
01:28Load-frequency control
305
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
305
01:26Feedback control systems
533
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
533
01:07Time-Domain Interpretation of PD Control
214
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
214
01:19PID Controller
325
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
325