Improved robustness and performance of discrete time sliding mode control systems
Sohom Chakrabarty1, Andrzej Bartoszewicz2
1Department of Electrical Engineering, Indian Institute of Technology Roorkee, India.
ISA Transactions
|September 6, 2016
Summary
Enhanced discrete time sliding mode control (DSMC) using relative degree two outputs improves system robustness and reduces the ultimate bound of the sliding variable. This approach also achieves finite time stability, even with disturbances.
Area of Science:
- Control Systems Engineering
- Discrete-Time Systems Analysis
- Nonlinear Control Theory
Background:
- Sliding mode control (SMC) is a robust control technique widely used in various engineering applications.
- Standard discrete-time sliding mode control (DSMC) systems often face challenges with robustness and performance limitations.
- The choice of sliding variable and its relative degree significantly impacts the system's dynamic behavior.
Purpose of the Study:
- To investigate the impact of relative degree on the robustness of discrete-time sliding mode control systems.
- To theoretically analyze and simulate the performance of DSMC systems with relative degree two outputs.
- To compare the robustness and stability properties against standard DSMC systems with relative degree one.
Main Methods:
- Theoretical analysis of discrete-time sliding mode control systems.
- Development of mathematical models for relative degree one and relative degree two outputs.
- Computer simulations to validate the theoretical findings and assess system performance under various conditions.
Main Results:
- Selecting a relative degree two sliding variable demonstrably increases the robustness of discrete-time sliding mode control systems.
- The ultimate bound of the sliding variable is successfully reduced compared to standard relative degree one systems.
- The reduced-order system exhibits finite-time stability in the absence of disturbances and finite-time ultimate boundedness with disturbances.
Conclusions:
- Utilizing relative degree two outputs offers a significant enhancement in robustness for discrete-time sliding mode control.
- The proposed method provides improved performance by reducing the sliding variable's ultimate bound.
- Finite-time stability properties are achieved, offering predictable and bounded system behavior even under external disturbances.
Related Concept Videos
Time-Domain Interpretation of PD Control
429
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...
429
Feedback control systems
765
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...
765
Controller Configurations
422
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...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
422
PD Controller: Design
690
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,...
690
Open and closed-loop control systems
1.9K
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...
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...
1.9K
Time and frequency -Domain Interpretation of PI Control
463
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
463


