Analysis and Design of Sensor-Driver-Aware Integral Nonsingular Terminal Sliding Mode Control for Buck Converter
Weiqi Zhang1, Fan Ping2, Yingbo Han3
1School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China.
Micromachines
|July 28, 2026
Summary
This study introduces a new control method for buck converters, improving voltage stability in microsystems despite disturbances. The integral nonsingular terminal sliding mode control (INTSMC) ensures robust performance and fast response.
Area of Science:
- Electrical Engineering
- Control Systems
- Power Electronics
Background:
- Buck converters are crucial for voltage regulation in microsystems but face challenges from parameter variations and sensor-driver dynamics.
- Conventional controllers struggle with signal distortion, delayed actions, and degraded transient response due to these practical limitations.
- Robust power regulation in micro-actuator systems requires addressing multi-source disturbances and non-ideal feedback paths.
Purpose of the Study:
- To develop and analyze a sensor-driver-aware integral nonsingular terminal sliding mode control (INTSMC) method for buck converters.
- To enhance voltage tracking performance and ensure singularity-free reaching in the presence of various disturbances.
- To provide a digitally implementable control law and a method for analyzing system response time.
Main Methods:
- A control-oriented averaged model was created, integrating converter parameter perturbations, load disturbances, Hall sensor dynamics, and driver characteristics.
- An integral nonsingular terminal sliding surface was designed for improved voltage regulation and singularity avoidance.
- A phase-trajectory-based response-time estimation method was developed to analyze system dynamics.
Main Results:
- The proposed INTSMC method demonstrated robust performance under multi-source disturbances.
- Achieved a settling time within 33 ms and a steady-state voltage error within 0.01 V.
- Measured efficiency ranged from 83.5% to 88.9%, confirming practical feasibility.
Conclusions:
- The sensor-driver-aware INTSMC method offers effective and robust voltage regulation for buck converter power interfaces in microsystems.
- The controller is suitable for digital implementation and accounts for critical sensor-driver dynamics.
- The findings are significant for micro-actuator-oriented microsystems requiring stable power supply under challenging conditions.
Related Concept Videos
PI Controller: Design
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...
PD Controller: Design
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,...
Feedback control systems
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...
Controller Configurations
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller aligns...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller aligns...
PID Controller
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...
Open and closed-loop control systems
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...

