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A robust and high precision control system has been designed in MATLAB for a prototype DC motor system running at high rpm with uncertainty in plant parameters and in the presence of plant disturbances and measurement errors. The controllers have been designed using variety of approaches PID, LQG, and LSDP. Each of these design in MATLAB meet rise time, settling time and peak percent overshoot as...
In this paper, a new control strategy for a low cost series connected single phase PV module inverter is introduced that delivers full PV power (at MPPT) to the load together with voltage compensation. The inverter operates during the day time as an active power compensator as well as load voltage regulator under grid voltage sag, swell or even under normal condition. The compensating voltage provided...
In this paper a fuzzy controller is designed for a recently developed voltage-boosting converter, named KY converter. The fuzzy controller neatly controls the switches of a 2nd-order KY converter via pulse-width-modulation (PWM) technology, which yields the voltage conversion ratio 2-plus-D where D represents the duty cycle. Experimental results show that the design simultaneously achieves faster...
This paper studied a multifunctional snow removal trucks electro-hydraulic proportional valve control system for the cylinder position control. The fuzzy - intelligent PID controller which could improve the operational efficiency of a multifunctional snow removal trucks, compared with conventional PID control, fuzzy control, and other control strategies by demonstration, simulation analysis and pilot...
PID controllers are becoming quite common in the commercial, institutional, and industrial fields. Proper application and tuning of this control algorithm can bring many efficiency and performance benefits with it. However, improper applications, lack of understanding and poor tuning of these controllers are often the main causes behind many commissioning problems. This paper introduce a new practical...
This work presents a reset/hybrid control application of an in-line pH process. The nonlinear process dynamic is linearized around different operation points, and as a result a second order plus dead time (SOPDT) plant with uncertain gain is obtained for control purposes. A standard PI compensator and a reset compensator are designed and tuned. The main result of this work will be to compare the performance...
This paper analyzes the effect of replay attacks on a control system. We assume an attacker wishes to disrupt the operation of a control system in steady state. In order to inject an exogenous control input without being detected the attacker will hijack the sensors, observe and record their readings for a certain amount of time and repeat them afterwards while carrying out his attack. This is a very...
This paper studied a multiple-stage tandem production system. The control strategy is Hybrid which combines Kanban and CONWIP strategy together. We focus on work-in-process (WIP) and service lost rate of the system. Thus we propose some approximation methods here. We consider a simple situation and formulate this production control as a Markov chain process. Then we derive the steady-state probability...
The torque fluctuation is the main influence to the high precision speed tracking for the motor-driven flight motion simulator. A plug-in repetitive controller to improve the steady-state precision is proposed. The electromagnetic torque fluctuation analysis and test results are provided in this document.
This paper discusses the design of a non-linear feed-forward PID controller based on the control system design of smart cars. The resulting design effectively solves the contradiction between speed and stability of the linear PID controller. A simulation about traditional PID, non-linear PID and non-linear feed-forward PID is given to show that the non-linear feed-forward PID dramatically enhances...
The paper characterizes the properties of discrete time minimax tracking control problem in the case of time varying references and disturbances. Hereunder, a multi step tracking control synthesis is suggested for linear time invariant (LTI) plants when the reference signal could be time dependent. Moreover, instead of directly rejecting the effect of the (time varying) disturbance signal, an intermediate...
This paper presents the total mass target controlled infusion algorithm. The system comprises an on line tuned algorithm for recovery detection (OLARD) after an initial bolus administration and a Bayesian identification method for parametric estimation based on sparse measurements of the accessible signal. To design the drug dosage profile, two algorithms are here proposed. During the transient phase,...
In the area of fault analysis, SDG (signed directed graph) models can be used to describe the system states and the fault propagation paths which are the composition of qualitative deviation from the normal state. In control systems, besides the natural relations caused by the physical properties, the forced control actions determine the dynamic properties of the systems, which cause the particularity...
With the development of microprocessors, voltage regulator module (VRM) is required to have many strict and challenging specifications. Its main topology and control scheme must follow the fast-developing trend. Two-stage VRM can solve issues such as the increasing input voltage, improving power and quickly dynamic response. It is easy to achieve the goal of high frequency, current division and high...
The paper presents a fuzzy control method with self-regulation factors and integral parameter self-tuning link for the problem of poor dynamic accuracy existed in traditional fuzzy control. This method adds optimization of adjustment factors and a self-adaptive coefficient integrator based on the conventional fuzzy control. Theoretical analysis and MATLAB simulation results show the effectiveness...
Combining Bang-Bang, fuzzy and integral control, a new hybrid controller is proposed for controlling a nonlinear, complex electro-hydraulic system with large moment of inertia of plant. Bang-Bang is adopted to reduce big error rapidly. Fuzzy and integral control enhances robustness of the controller, and eliminate steady-state-error completely. Integral coefficient is changed by a subordinate fuzzy...
This paper presents the development and implementation of a real time hybrid fuzzy-PID control paradigm for an aerodynamic test rig, a twin rotor multi-input-multi-output system (TRMS) which resembles the dynamics of a helicopter in certain aspects. The TRMS can be perceived as a challenging control problem due to its high nonlinearity, the coupling effects between its two axes and the inaccessibility...
This paper describes a simple model of compressor based on analysis the compression behavior and presents a new self-adjust organization of integrating factor. This organization is capable of self-adjust integral factors based on the values of error. When the error be a positive and big value, the value of integrating factor increases and the controlled increment accumulates quickly. When the output...
A new neural network, double parasols neural network, is proposed here which is similar to a multilayered neural network, but is derived from an interconnected neural network. EBP-EWLS method can be used as a learning algorithm. The proposed network is considered as a generalization of a regressor model for linear systems to nonlinear systems. Using this network, identification and control are examined...
This paper deals with a multirate control system, where the sampling interval of the plant output is an integer multiple of the hold interval of the control input. In the multirate system, intersample output may oscillate even if a sampled output converges to a reference input. Therefore, this paper proposes a new design method to suppress intersample ripple in the multirate system, the numerical...
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