Stabilizing regions of dominant pole placement for second order lead processes with time delay using filtered PID
Kaushik Halder1, Saptarshi Das2,3
1School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, Himachal Pradesh, India.
Plos One
|June 25, 2024
Summary
This study introduces a novel filtered PID controller design for second-order-plus-time-delay systems. The method accurately discretizes time delays without approximations, enabling precise control for various processes.
Area of Science:
- Control Engineering
- Systems Theory
- Applied Mathematics
Background:
- Time-delayed systems present significant control challenges.
- Traditional PID controller design often relies on approximations for time delays.
- Accurate discretization of continuous-time systems is crucial for digital implementation.
Purpose of the Study:
- To develop a novel filtered PID controller design method for second-order-plus-time-delay (SOPTDZ) systems.
- To avoid finite term approximations (e.g., Pade) in handling time delays.
- To provide an accurate discretization approach for both the system and the controller.
Main Methods:
- Pole-zero matching discretization for continuous-time SOPTDZ systems.
- Pole-zero matching for discretizing the filtered PID controller.
- Coefficient matching approach for deriving discrete-time controller analytical expressions.
- Particle Swarm Optimization (PSO) for approximating the stabilizable region.
Main Results:
- A unique filtered PID controller design based on dominant pole placement is presented.
- The method accurately converts transcendental time delay terms into finite poles.
- Analytical expressions for discrete-time controllers are derived for real and complex non-dominant poles.
- The approach is validated on stable, integrating, and unstable SOPTDZ systems.
Conclusions:
- The proposed method offers an effective way to design filtered PID controllers for SOPTDZ systems.
- Accurate discretization without approximations simplifies controller design and improves performance.
- The validated results demonstrate the method's robustness across various system types.
Related Concept Videos
Time and frequency -Domain Interpretation of Phase-lead Control
80
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
80
Time and frequency -Domain Interpretation of PI Control
117
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...
117
PID Controller
115
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...
115
Phase-lead and Phase-lag Controllers
167
Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
167
Time-Domain Interpretation of PD Control
92
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...
92
PI Controller: Design
243
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...
243


