• No results found

nonlinear model-based controllers

Design of an Adaptive Fuzzy Controller for Antilock Brake Systems

Design of an Adaptive Fuzzy Controller for Antilock Brake Systems

... common controllers due to its simple structure and easy to ...of model uncertainties and nonlinear ...new Nonlinear PID controller to a class of truck ABS ...an nonlinear control method ...

9

Linear and nonlinear active rejection 
		controllers for single link flexible joint robot manipulator based on 
		PSO tuner

Linear and nonlinear active rejection controllers for single link flexible joint robot manipulator based on PSO tuner

... is based on singular perturbation approach and the measurements of elastic force and position is a prerequisite for the control ...suggested nonlinear sliding state observer to estimate link velocities and ...

7

Modeling and Control of Nonlinear Process Using Robust and Soft Controllers

Modeling and Control of Nonlinear Process Using Robust and Soft Controllers

... is based on parsevals theorem and contour ...in model based control systems necessitate the development of mathematical models inevitable for the nonlinear ...designed model of the non ...

13

Impact of Parametric Variations on Chaotic
Behaviour of Indirect Field Controlled
Induction Motor Drives

Impact of Parametric Variations on Chaotic Behaviour of Indirect Field Controlled Induction Motor Drives

... feedback based linear and nonlinear controllers were proposed to control and synchronize the systems with chaotic dynamics by Rafikov et ...(SMT) based controller was proposed by ...control ...

7

Design of a nonlinear self tuning parameters algorithm for different 
		types of PID controllers based on artificial intelligent

Design of a nonlinear self tuning parameters algorithm for different types of PID controllers based on artificial intelligent

... high nonlinear dynamic structure with unstable behavior therefore, MagLev system has a challenging problem to control it that leads to make the MagLev system a good test bed for self-tuning control strategies such ...

9

Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer

Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer

... the controllers are designed to bring the solution temperature in the batch crystallizer to the desired ...hybrid model optimization corresponding to minimize and at the same time maximizes at the end of ...

13

Design of generalized minimum variance controllers for nonlinear multivariable systems

Design of generalized minimum variance controllers for nonlinear multivariable systems

... plant model can be in a very general nonlinear operator form, which might involve state-space, transfer operators or even nonlinear function look up ...equation based model. The input ...

12

Improved Model Predictive Control for a Proton Exchange Membrane Fuel Cell

Improved Model Predictive Control for a Proton Exchange Membrane Fuel Cell

... and nonlinear characteristics, proton exchange membrane fuel cells present complex control ...challenges. Based on mathematical modelling and numerical simulations, two improved model predictive ...

11

Transient Stability Improvement of Power System Using Non Linear Controllers

Transient Stability Improvement of Power System Using Non Linear Controllers

... linearizing nonlinear power system model ...and nonlinear control strategies, such as Standard Linearisation Tech- niques (SLT) based on Taylor’s series approximation, Direct Feedback ...

7

Relative Performance of PI and MFFN Based IPFC on Damping of Power System Oscillations

Relative Performance of PI and MFFN Based IPFC on Damping of Power System Oscillations

... the nonlinear model of power system incorporated with Interline Power Flow Controller ...Phillips-Heffron model Parimi [11] has proved that IPFC control signal m2 is the most ...m2 based ...

7

Performance Comparison between Conventional and Self Tuning Fuzzy PI Controllers for Interacting Multivariable Process

Performance Comparison between Conventional and Self Tuning Fuzzy PI Controllers for Interacting Multivariable Process

... using nonlinear process,the design of controllers is a challenging task because the controller theory mainly deals with linear ...process,model based controller can be used Internal ...

8

Analysis of pH process using Model Reference Adaptive Controller

Analysis of pH process using Model Reference Adaptive Controller

... using Model Reference Neural Network and Fuzzy Logic Adaptive controlling schemes”, International Journal of Advancements in Research & Technology, Volume 2, Issue1, ...

6

Implementing nonlinear feedback controllers using DNA strand displacement reactions

Implementing nonlinear feedback controllers using DNA strand displacement reactions

... of nonlinear feedback controllers can be designed using idealized abstract chemical reactions and implemented via DNA strand displace- ment (DSD) ...a nonlinear quasi sliding mode (QSM) feedback ...

14

Implementing nonlinear feedback controllers using DNA strand displacement reactions

Implementing nonlinear feedback controllers using DNA strand displacement reactions

... We implement this controller on a prototype embedded closed loop feedback system that consists of three individual modules, a subtractor, a controller and a biomolecular process to be controlled, each realized by mass ...

14

Linear Temporal Logic-based Mission Planning

Linear Temporal Logic-based Mission Planning

... by-constructions controllers for temporal logic based synthesis, was proposed by Raman et ...fast controllers and finally both are ...behavior based controller which compared a nontrivial set ...

10

Metaphorical Study on the Performance of Controllers in Modeling, Control and Simulation of Renewable Source Boost Converter Using MATLAB

Metaphorical Study on the Performance of Controllers in Modeling, Control and Simulation of Renewable Source Boost Converter Using MATLAB

... and digital methods are used [1]. DC-DC converters are intrinsically non-linear circuits and it is difficult to obtain accurate models which influences dynamic behaviour. The DC-DC converter inputs are generally ...

6

Passivity-Based Output-Feedback Control of Turbulent Channel Flow

Passivity-Based Output-Feedback Control of Turbulent Channel Flow

... of nonlinear partial differential algebraic equations ...control model, these equations must first be linearised around a known equilibrium solution and then discretised resulting in a set of differential ...

11

Robust IMC Controllers with Optimal Setpoints Tracking and Disturbance Rejection for Industrial Boiler

Robust IMC Controllers with Optimal Setpoints Tracking and Disturbance Rejection for Industrial Boiler

... multivariable model, IMC controllers (IMCr,0, IMC0,d, IMCr,d) are ...The controllers are proposed for three opposite ...IMCr,d controllers using frequency analysis and to verify the results ...

10

A nonlinear model-based control method for magnetostrictive actuators

A nonlinear model-based control method for magnetostrictive actuators

... energy-based model based upon domain wall interactions is used to characterize the dy- namics of a magnetostrictive actuator coupled to a thin ...This model is then discretized to obtain a ...

6

Design an Optimal PID Controller using Artificial Bee Colony and Genetic Algorithm for Autonomous Mobile Robot

Design an Optimal PID Controller using Artificial Bee Colony and Genetic Algorithm for Autonomous Mobile Robot

... Each chromosome represents a solution of the problem and hence it consists of three genes: the first one is the Kp value, the second on is Ki value and last one is the Kd value: Chromosome vector = [Kp Ki Kd]. It must be ...

9

Show all 10000 documents...

Related subjects