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In this paper, a method based on stability boundary plot is considered for an unstable second order process with dead time. All the controllers that satisfy the gain margin and phase margin requirements are found by plotting the Kp-Ki curve. The technique is based on Kharitonov theorem for stability of interval plants. Limiting values of the controller parameters that stabilize the given system are...
In this paper, a method based on stability boundary plot is considered for an unstable second order process with dead time. All the controllers that satisfy the gain margin and phase margin requirements are found by plotting the Kp-Ki curve. The technique is based on Kharitonov theorem for stability of interval plants. Limiting values of the controller parameters that stabilize the given system are...
Through this article, we will focus on the most common problem in the internal model control for multivariable systems with multiple time delays, that is the reversal of the corrector. This problem seems to be quite annoying when we face a non-square system. Our ultimate work developed through this paper, will be concentrated on a specific work structures to overcome the mean difference between the...
This paper deals with a discretization of multivariable fully actuated linear systems controlled with an Internal Model Control (IMC). The proposed IMC is based on a specific inversion method and it presents an extension to the case of Multi-Input-Multi-Output (MIMO) discrete-time systems. The case of fully actuated linear system is considered and it approved the effectiveness of the proposed approach...
Magnetic levitation systems are widely used in practice and especially as a research topic due to their nonlinear and unstable characteristics. In this paper, two rarely used control algorithms for unstable systems are proposed: a special type of a fractional order controller and an IMC (Internal Model Control) based controller. The two control algorithms are compared and tested on an experimental...
The paper studies the control of networked control systems (NCS) with sensor-to-controller and controller-to-actuator time delays. The delays are bigger than one sample and random. By using of buffers, the original problem can be transformed into linear system with constant delay. The optimal size of the buffer is an open problem. Increase of the buffer length deteriorates the quality because of longer...
It is known fact that modern IP networks are adopting eXplicit Control Protocol (XCP) as the de-facto standard. In the implementation of XCP, the XCP sender outputs packets in bursts such that all the packets inside the congestion window are outputted without any interval between them. The burst not only increases the queuing delay, but also makes XCP with heterogeneous delays to be unstable. In the...
The paper presents a method of data-driven parameter setting based on neural network, which is aimed at the nonlinear controlled objects, and these objects are difficult to establish accurate mathematical model. The network connection weights and node threshold are adjusted to identify the controller parameters by comparison of the virtual reference feedback tuning performance, and this idea can skip...
In this paper we present a control theory approach to stabilize the throughput of threads for real-time applications on a multithreaded processor. We use a statistical model of a super scalar, multi-threaded processor as transfer function to calculate the resulting IPC rate. Our control theory approach is not limited to a specific processor and can be adapted to different microprocessor architectures...
This paper presents a simulated Model Reference Adaptive Controller (MRAC) and its application to regulate steam temperature in distillation process for essential oil extraction system. Steam temperature is one of the most significant parameters that can influence the composition of essential oil yield in terms of quality and quantity. Due to parameter variations and changes in operation conditions...
This paper proposed a PID method to control a driven pendulum. Driven pendulum is a suspended pendulum, which has a motorized propeller at the end of the stick. So it can be controlled with controlling the voltage given to DC motor. The characteristics of the transient response of this system such as overshoots and settling time are not acceptable. For example the settling time of this system is upwards...
In this paper, we apply an adaptive control algorithm to a nonlinear multivariable process. Such controller is based on the multiple models approach. As the design of the control law requires the knowledge of the dynamical model of the system, we deal firstly with the identification of the system parameters using the recursive least squares and the retro propagation of the gradient algorithms. Then,...
This research work presents supervised Artificial Intelligence based control technique for an inverted pendulum. The inverted pendulum system is a classic control problem that is used in research. It is a suitable process to test prototype controllers due to its high non-linearities and lack of stability. Most traditional controllers (feedback linearisation, rule based control) are based around an...
The research of inverted pendulum and network control system are combined in this paper. Firstly, the stability control of inverted pendulum is discussed. Secondly, network control system is introduced and the structure of inverted pendulum network control system is analyzed. Finally, the simulation model of inverted pendulum network control system is established by True Time simulation module. Through...
In this paper conventional proportional-integral-derivative (PID) controller and different type of fuzzy logic controllers are used for controlling the inverted pendulum. The fuzzy logic controller is designed in various forms in the Matlab-Simulink environment with Mamdani type fuzzy inference system. The Inverted Pendulum system (also called “cart-pole system”) is a classic example of a nonlinear...
In Thermal Power Generation Water Treatment process, due to the pipeline pressure and flow changes, Water Treatment PID control system parameter unstable, causes the water treatment controller can not prompt tracking response, PH value of water changes in a larger range, increased damage to the boiler pipes. Three layers of BP neural network model can dynamically adjust the parameters of hidden layer...
A novel adaptive Exponentially Weighted Moving Average scheme, called AEWMA3, is suggested for monitoring the stability of a linear relationship between a quality characteristic and an explanatory variable. Comparisons with an analogous non-adaptive scheme points to a better overall performance of the suggested scheme in a variety of out-of-control scenarios. In addition, since a single AEWMA3 chart...
This work addresses the problem of tracking and stabilization of FitzHugh-Nagumo equation (FHN) subject to Neumann boundary conditions via static output feedback control using adaptive model reduction methodology and specifically the adaptive proper orthogonal decomposition (APOD) approach. Initially, an ensemble of eigenfunctions is constructed based on a relatively small data ensemble using method...
In this paper, we propose a robust H∞/L1 control system for a high purity distillation column. The original nonlinear model of the column is of high order and it includes parametric uncertainty. A reduced-order linearized model of the distillation column is used to design a 2-DoF multi-objective H∞/L1 controller which ensures robust stability of the closed loop system and fulfillment of certain design...
The aim of this paper is to present a method for on-line tuning of PID controller for stable processes. Without breaking closed-loop control, an explicit process model is developed from a single relay test and then controller gains are re-tuned non-iteratively to improve the performance. An explicit tuning rules are derived with special emphasis on minimizing the control efforts. Examples are given...
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