Journal ArticleDOI
Improved PID design using new state space predictive functional control optimization based structure
Haisheng Li,Jianming Zhang +1 more
TLDR
The results show that the proposed PI-PD method has a better performance in the set-point tracking and disturbances rejection than those comparative methods.About:
This article is published in Chemometrics and Intelligent Laboratory Systems.The article was published on 2016-02-15. It has received 11 citations till now. The article focuses on the topics: Model predictive control & Control theory.read more
Citations
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Journal ArticleDOI
Design of PID controller based on a self-adaptive state-space predictive functional control using extremal optimization method
TL;DR: The experimental results fully illustrate that the proposed EO-APFC-PID control scheme is more effective and efficient than other existing control strategies for achieving a desired behavior on the most test cases considered in this paper in terms of set point tracking, input disturbance rejection and output disturbance rejection.
Journal ArticleDOI
Multiple Model Predictive Functional Control for Marine Diesel Engine
TL;DR: A novel control scheme based on multiple model predictive functional control (MMPFC) is proposed to solve the cumbersome and time-consuming parameters tuning of the speed controller for a marine diesel engine and has excellent disturbance rejection ability by modifying the predictive multimodels online.
Journal ArticleDOI
The Design of a Coprime‐Factorized Predictive Functional Controller for Unstable Fractional Order Systems
Journal Article
Model predictive control of 2DOF helicopter
TL;DR: In this paper, a model predictive control (MPC) approach for a 2DOF (degree of freedom) helicopter is proposed to stabilize beam of the helicopter with respect to pitch and yaw angles.
Journal ArticleDOI
The design of NMSS fractional-order predictive functional controller for unstable systems with time delay.
TL;DR: The proposed NMSS-fractional-order PFC (NMSS-FOPFC) has been formulated via a fractional order cost function in terms of the output tracking error vector and results in improved nominal and perturbed responses compared to conventional methods.
References
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Journal ArticleDOI
A survey of industrial model predictive control technology
S. Joe Qin,Thomas A. Badgwell +1 more
TL;DR: An overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors, is provided in this article, where a brief history of industrial MPC technology is presented first, followed by results of our vendor survey of MPC control and identification technology.
Journal ArticleDOI
Tuning PI controllers for integrator/dead time processes
TL;DR: In this article, the authors proposed an alternative approach that avoids this problem by using classical frequency response methods and showed that there is a minimum reset time for the integrator/dead time process below which reasonable closed loop damping coefficients cannot be achieved.
Journal ArticleDOI
A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems.
TL;DR: A new PID controller for resistant differential control against load disturbance is introduced that can be used for load frequency control (LFC) application and a comparison between this controller and two other prevalent PI controllers, optimized by GA and Neural Networks, has been done which represents advantages of this controller over others.
Journal ArticleDOI
A data driven subspace approach to predictive controller design
TL;DR: In this paper, a subspace approach is proposed for predictive control without using the traditional dynamic model such as the state-space, input-output transfer function or step response model, which simplifies the design procedure of the predictive controllers.
Journal ArticleDOI
Evolutionary algorithms based design of multivariable PID controller
TL;DR: Results clearly indicate the better performance of CMAES and MPSO designed PI/PID controller on multivariable system and reveal that all the four algorithms considered are suitable for off-line tuning of PID controller.