Results 151 to 160 of about 472,146 (205)
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2012
For some industrial processes a small stationary control error or smooth oscillations of the process output around the set-point do not constitute hard design constraints but, however, the reduction of the information exchanged between the agents that take part in the control loop (sensors, controllers, actuators) is one of the tightest requirements ...
J. Sánchez +2 more
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For some industrial processes a small stationary control error or smooth oscillations of the process output around the set-point do not constitute hard design constraints but, however, the reduction of the information exchanged between the agents that take part in the control loop (sensors, controllers, actuators) is one of the tightest requirements ...
J. Sánchez +2 more
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CSTR Control Using IMC-PID, PSO-PID, and Hybrid BBO-FF-PID Controller
2018A hybrid control approach (BBO-FF) based PID is used for optimal control of a non linear system, i.e., CSTR and this hybrid approach is compared with conventional Z-N tuned PID, IMC-PID, and another optimal control method PSO-PID. The aim of this study is to find an optimal controller for nonlinear process control systems and to achieve best desired ...
Neha Khanduja, Bharat Bhushan
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1993
The recent progress of microelectronics enables the creation of intelligent sensors as integrated units including both a sensor and a microcontroller capable of performing many decentralized monitoring and/or control system functions. This paper shows how the robustness of such a device applied for the PID—control can be substantially increased by the ...
Pavel Kovanic, Josef Böhm
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The recent progress of microelectronics enables the creation of intelligent sensors as integrated units including both a sensor and a microcontroller capable of performing many decentralized monitoring and/or control system functions. This paper shows how the robustness of such a device applied for the PID—control can be substantially increased by the ...
Pavel Kovanic, Josef Böhm
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IFAC Proceedings Volumes, 1990
Abstract A class of linguistic controllers is derived using the combination of classical PID (proportional-integra l -derivative) control ideas and fuzzy set theory. Six different types of such controllers are proposed and their basic characteristics investigated and discussed.
D.P. Kwok, P. Tam, C.K. Li, P. Wang
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Abstract A class of linguistic controllers is derived using the combination of classical PID (proportional-integra l -derivative) control ideas and fuzzy set theory. Six different types of such controllers are proposed and their basic characteristics investigated and discussed.
D.P. Kwok, P. Tam, C.K. Li, P. Wang
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IEE Proceedings - Control Theory and Applications, 2001
The design of predictive PID controllers with similar features to the model-based predictive controllers (MPC) is considered. Corresponding to a prediction horizon of size M, a bank of M parallel conventional PID controllers is defined. All the controllers have the same three terms gains, but the ith controller operates on the future error signal at ...
Katebi, M.R., Moradi, M.H.
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The design of predictive PID controllers with similar features to the model-based predictive controllers (MPC) is considered. Corresponding to a prediction horizon of size M, a bank of M parallel conventional PID controllers is defined. All the controllers have the same three terms gains, but the ith controller operates on the future error signal at ...
Katebi, M.R., Moradi, M.H.
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2011
An effective and simple way of designing a two-degree-of-freedom control scheme for an integral process is to employ an inner feedback loop in order mainly to stabilise the system and then an outer feedback loop in order to provide the required performance. Different methods have been proposed in the literature for the design and tuning of this control
Antonio Visioli, Qing-Chang Zhong
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An effective and simple way of designing a two-degree-of-freedom control scheme for an integral process is to employ an inner feedback loop in order mainly to stabilise the system and then an outer feedback loop in order to provide the required performance. Different methods have been proposed in the literature for the design and tuning of this control
Antonio Visioli, Qing-Chang Zhong
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2005
This chapter looks at predictive PID ...
Johnson, M.A., Moradi, M., Katebi, M.R.
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This chapter looks at predictive PID ...
Johnson, M.A., Moradi, M., Katebi, M.R.
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2016
A proportional, integral and derivative (PID) controller is a simple yet versatile feedback compensator that is widely used in industrial control systems. This chapter presents the effect of each PID component on the closed-loop dynamics of a feedback-controlled system. Afterward, we address different PID tuning methods.
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A proportional, integral and derivative (PID) controller is a simple yet versatile feedback compensator that is widely used in industrial control systems. This chapter presents the effect of each PID component on the closed-loop dynamics of a feedback-controlled system. Afterward, we address different PID tuning methods.
openaire +1 more source