What is fuzzy sliding mode controller?
Switching control is then added to guarantee that the state reaches the sliding mode in the presence of parameter and disturbance uncertainties. Fuzzy tuning schemes are employed to improve control performance and to reduce chattering in the sliding mode.
What is sliding mode control method?
In control systems, sliding mode control (SMC) is a nonlinear control method that alters the dynamics of a nonlinear system by applying a discontinuous control signal (or more rigorously, a set-valued control signal) that forces the system to “slide” along a cross-section of the system’s normal behavior.
What is terminal sliding mode control?
In the 1990s, a novel class of SMC, called the terminal sliding mode control (TSMC), was proposed which has been studied and applied extensively, giving rise to a robust control with tunable finite-time convergence delivering fast response, high precision, and strong robustness.
How is fuzzy logic used in control?
A fuzzy control system is a control system based on fuzzy logic—a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic, which operates on discrete values of either 1 or 0 (true or false, respectively …
Which mode is sliding mode?
Reaching mode is the phase where the state trajectories are driven to the sliding surface. It is also known as hitting mode or non-sliding mode. In sliding mode, the trajectories are restrained and kept moving along the surface towards the equilibrium point or reference point.
What is super twisting sliding mode control?
The super-twisting sliding mode control has the ability to reduce chattering and also is robust against varying parameters. Simulations are shown to validate that the proposed method has reduced chattering efficiently and the robustness has been also guaranteed.
What is the Fuzzy Logic control?
Fuzzy logic control is a heuristic approach that easily embeds the knowledge and key elements of human thinking in the design of nonlinear controllers [41–43]. Fuzzy logic controllers usually outperform other controllers in complex, nonlinear, or undefined systems for which a good practical knowledge exists.
What is Fuzzy Logic adaptive control?
Fuzzy control has proven effective for complex, nonlinear, imprecisely-defined processes for which standard models and controls are impractical or cannot be derived. An adaptive fuzzy controller could automatically generate a set of fuzzy control rules and improve on them as the control process evolves.
What is integral sliding mode controller?
Abstract. A nonlinear integral sliding-mode control (NISMC) scheme is proposed for second order nonlinear systems. The new control scheme is characterized by a nonlinear integral sliding manifold which inherits the desired properties of the integral sliding manifold, such as robustness to system external disturbance.
What is super twisting algorithm?
Abstract. In this paper, a feedback control law adopting the super-twisting algorithm is designed such that a continuous and saturated control signal is generated to regulate a first-order system affected by disturbances.
Why do we use Fuzzy Logic controller?
Fuzzy logic controllers, and by extension, fuzzy control, seeks to deal with complexity by creating heuristics that align more closely with human perception of problems. Fuzzy logic provides a way of dealing with imprecision and nonlinearity in complex control situations.
What is Fuzzy Logic with example?
Application Areas of Fuzzy Logic
|Sets lunes power and cooking strategy
|Hitachi, Sharp, Sanyo, Toshiba
|Recognizes handwritten Kanji characters
|Sets etch time and strategy