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Simultaneously stabilizing controller structure design for control over network with plant uncertainties
(2007-12-01)
Witheephanich, K.
;
Tipsuwanporn, V.
In recent years, there has been increasing interest in controlling systems over communication networks because communication networks are among the fastest-growing areas in engineering. Networked control system (NCS) is a feedback control system wherein the control loops are closed through a computer network. Such systems offer advantages such as lower installation costs, increased flexibility and rapid installation. However, communication delay is a general problem in NCS, and it could destabilize the closed-loop system. In this paper, controller structure is provided for NCS with constant delay and plant uncertainties. Our formulation and solution method utilize robust control design. We apply the proposed control strategy on a specific example testing with hardware-in-the-loop simulation using dSPACE DS1104 controller board for controlling a modular servo system. © 2006 IEEE.
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Robust controller design for plant uncertainty
(2006-12-01)
Numsomran, A.
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Witheephanich, K.
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Tipsuwanporn, V.
;
Klinsmitth, N.
This paper demonstrates how Robust Nominal Model Following Control (RNMFC) motivated by the adaptive model following concept is developed and proposed in this paper. The control structure of RNMFC is quite different from and much simpler than those of adaptive model following control schemes. RNMFC has three main features: the use of a nominal model of the plant as a reference model, the design of a model controller which fulfills the reference tracking requirement and the inclusion of a simple PID correction mechanism which copes with all dynamic deviations of the real plant from its nominal model. With its robust control structure, RNMFC separates the reference tracking and robustness fulfillment into two independent problems. The results illustrate the robustness of RNMFC that can be manipulated parametric uncertainty of motor servo system. © 2006 ICASE.
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Simultaneously stabilizing controller structure design for control over network with plant uncertaint
(2006-12-01)
Witheephanich, K.
;
Tipsuwanporn, V.
In recent years, there has been increasing interest in controlling systems over communication networks because communication networks are among the fastest-growing areas in engineering. Networked control system (NCS) is a feedback control system wherein the control loops are closed through a computer network. Such systems offer advantages such as lower installation costs, increased flexibility and rapid installation. However, communication delay is a general problem in NCS, and it could destabilize the closed-loop system. In this paper, controller structure is provided for NCS with constant delay and plant uncertainties. Our formulation and solution method utilize robust control design. We apply the proposed control strategy on a specific example testing with hardware-in-the-loop simulation using dSPACE DS1104 controller board for controlling a modular servo system. ©2006 IEEE.
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Distributed controller design for controlling a system with plant uncertainties over network
(2005-12-01)
Tipsuwanporn, V.
;
Witheephanich, K.
;
Piyarat, W.
Distributed controller design for a Networked Control System (NCS) with plant uncertainties is proposed in this paper. Communication delays in the NCS are compensated with the designed robust controller using the graphical loopshaping technique. For plant uncertainties, a robust control loop is then designed based on the RNMFC scheme and augmented to the existing control system. The experimental result illustrates the benefits of the proposed method with the speed control of a dc motor over network. © 2005 SICE.
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A robust control structure enhancing nominal model following scheme for induction servomotor drive
(2004-12-01)
Phanphairoje, S.
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Witheephanich, K.
;
Piyarat, W.
;
Intajag, S.
Motivated by the adaptive model following concept, a robust model following scheme Nominal Model Following Control (NMFC) is developed in this paper. NMFC has three main features: the use of a nominal model of the plant as a reference model, the introduction of a model controller which fulfills the reference tracking requirement and the inclusion of a simple PID correction mechanism which copes with all dynamic deviations of the real plant from its nominal model. Then, a simple robust controller are also designed and augmented with NMFC to reduce the effects of parameter variations and external disturbances further. The proposed control design techniques are employed to show the practicality of the technique for controlling induction servomotor system models. Simulation results illustrate that the desired tracking control performance of the servo drive can be preserved under wide operating range and good load regulating performance can also be obtained.
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Neuro-fuzzy controller design for industrial process controls
(2004-12-01)
Tipsuwanporn, V.
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Intajag, S.
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Witheephanich, K.
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Koetsam-ang, N.
;
Samiamag, S.
In this paper, an industrial controller is designed with the neuro-fuzzy model based on Sugeno-type fuzzy inference. The designed controller is a nonlinear system, which uses the relation between input and output data. The fuzzy system is employed as the controller, which can be tuned itself by the neural network mechanism based on a gradient descent technique. The controller is implemented with M-file and graphic user interface (GUI) of Matlab program. The program uses MPIBM3 interface card to connect with the industrial processes. The proposed controller provides the online tunable mode to adjust the fuzzy rule bases with real time. In the experimentation, the proposed method is tested by varying of the process parameters, set points and load disturbance. Two processes, which consist of the level and temperature controls, are used to evaluate the efficiency of our controller. The results of the both processes are compared with two PID systems that are 3G25A-PIDO1-E and E5AK of OMRON. From the comparison results, our controller performance can be archived in the case of more robustness than the two PID systems.
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Automation Reverse Osmosis System using Computer Analyze
(2003-10-01)
Tipsuwanpom, V.
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Anotaiadikoon, J.
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Gulpanich, S.
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Krongratana, V.
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Witheephanich, K.
As Pure & Drinking water system is universally employed in Industrial,Reverse Osmosis System (ROS) has been becoming increasingly popular due to efficiency in Salt & Organic Rejection of it. However membrane system need regular cleaning. This paper present a new method for automation cleaning Reverse Osmosis System using Computer monitoring Process & analyze Trend of membrane performance & discuss enter to automation cleaning. The membrane performance consist of TDS, Water Flow, Pressure and Temperature. These variable analyzed for automation cleaning in order to maintain productivity and performance of RO System.
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Independent BRM multi patterns with VFC
(2000-12-01)
Tipsuwanporn, V.
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Tirasesth, K.
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Sattho, U.
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Witheephanich, K.
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Chuenarom, S.
In this paper voltage-to-frequency conversion (VFC) circuit with Binary Rate Multipliers (BRM) output is presented. We first analyze spectrum value and percentage of Binary Bit Rate (BBR) power then reject the repeated power values, and select only one BBR signal to construct BRM by linear combination. A VFC design with 1 to 5 volts (Vin) and ±2.5 volts (Vout) can generate BRM pattern (0 Hz - 39.0625 kHz) in sine, triangular, saw-tooth and square waveform. The average value of VFC output signal is fedback to input of the VFC in order to stabilize pattern for BRM transmission. The output patterns and frequencies can be controlled either independently or simultaneously.
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Controller design improving robustness properties for parametrically uncertain system
(2000-01-01)
Tipsuwanporn, V.
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Numsomran, A.
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Witheephanich, K.
;
Piyarat, W.
;
Roddumporn, K.
The design problem of the control system is the ability to synthesize a controller that achieves robust stability and robust performance. The paper explains the finite inclusions theorem (FIT) by the procedure namely FIT synthesis. It is developed for synthesizing a robustly stabilizing controller for parametrically uncertain systems. The fundamental problem in the study of parametrically uncertain systems is to determine whether or not all the polynomials in a given family of characteristic polynomials are Hurwitz i.e.,all their roots lie in the open left-half plane. By using the FIT it can be proved that a polynomial is Hurwitz from only approximate knowledge of the location of a finite number of polynomial value sets at appropriately chosen frequencies. An example shows the simplicity of using the FIT synthesis to directly search for robust controller of parametrically uncertain system by way of solving a sequence of systems of linear inequalities. We design a stabilizing controller for the nominal plant. Once an initial controller is found, the algorithm iteratively improves on the controller until the desired specifications are met. Results from an example show that the controller synthesized by FIT synthesis is better than by H<inf>∞</inf> synthesis with parametrically uncertain system.

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