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2010 International Conference on Machine Learning and Cybernetics, 2010
This paper proposes an adaptive proportional-integral-derivative (PID) controller which integrates the fuzzy sets with the Cerebella Model Articulation Controller (CMAC). Three gain parameters of PID controller, constructed by three fuzzy CMAC (FCMAC) models, are real-time modified in the sense of adaptation to solve the tracking control problem of a ...
Jen-Yang Chen +4 more
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This paper proposes an adaptive proportional-integral-derivative (PID) controller which integrates the fuzzy sets with the Cerebella Model Articulation Controller (CMAC). Three gain parameters of PID controller, constructed by three fuzzy CMAC (FCMAC) models, are real-time modified in the sense of adaptation to solve the tracking control problem of a ...
Jen-Yang Chen +4 more
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Annual Reviews in Control, 2000
Abstract The history of pneumatic PID controllers covering the invention of the flapper-nozzle amplifier, the addition of negative feed back to the amplifier and the incorporation of rest (integral) and pre-act (derivative) actions is described. The transition of the controller from a special purpose unit to a robust, reliable, widely used unit; the ...
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Abstract The history of pneumatic PID controllers covering the invention of the flapper-nozzle amplifier, the addition of negative feed back to the amplifier and the incorporation of rest (integral) and pre-act (derivative) actions is described. The transition of the controller from a special purpose unit to a robust, reliable, widely used unit; the ...
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On a Modification of the PID Controller
Dynamics and Control, 1997The paper considers the controlled system \[ x^{(n)}+ a_nx^{(n-1)}+ \cdots + a_2x' +a_1x =u(t) \] and the finite-memory controller \[ u= -c_1 \bigl(x(t) -x_d(t)\bigr)-c_2 \bigl(x'(t) -x_d'(t) \bigr)- c_3\int^t_{t- \sigma} \bigl(x (\tau)- x_d(\tau) \bigr)d \tau \] \(x_d(t)\) being the reference signal. This controller is shown to have several advantages
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ISA Transactions, 2007
In this paper, an index for measuring fragility of proportional integral derivative (PID) controllers is proposed. This index relates the losses of robustness of the control loop when controller parameters change, to the nominal robustness of the control loop. Furthermore, it defines when a PID controller is fragile, nonfragile or resilient.
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In this paper, an index for measuring fragility of proportional integral derivative (PID) controllers is proposed. This index relates the losses of robustness of the control loop when controller parameters change, to the nominal robustness of the control loop. Furthermore, it defines when a PID controller is fragile, nonfragile or resilient.
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A Reconfigurable PID Controller
2018We survey the Proportional-Integral-Derivative (PID) controller variants and we switch them in runtime via reconfiguration, as the control requirements change. Depending on the PID variant, e.g. P, I, PI, PD, PID, PI-PD, the involved computations to produce the control output are different.
Sikandar Khan +3 more
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Spiking Neural PID Controllers
2011A PID controller is a simple and general-purpose way of providing responsive control of dynamic systems with reduced overshoot and oscillation. Spiking neural networks offer some advantages for dynamic systems control, including an ability to adapt, but it is not obvious how to alter such a control network's parameters to shape its response curve.
Andrew M. Webb +2 more
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Comparison of PID control and PPI control
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004Predictive PI (PPI) control form, capable of time delay compensation, has been put forward recently. This control algorithm is essentially a PI controller with enhanced derivative action, and is not only suitable for long time delay process, but also of simple structure and excellent robust stability.
Zhengyun Ren, Hong Zhang, Huihe Shao
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PID Controller for Idle Speed Control
2013 UKSim 15th International Conference on Computer Modelling and Simulation, 2013The performance comparison of PID controllers for idle speed control internal combustion engine (ICE) is presented in this paper. There are three methods of PID tuning applied: heuristic tuning, self-tuning by pole placement, and also iterative learning algorithm (ILA).
Tengku N. A. Tuan Kamaruddin +1 more
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Stability of fuzzy PID controllers
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1998In this paper, the stability of fuzzy PID controllers is studied. Using the passivity theorem, the stability region of the effective PID parameters can be derived and hence some sufficient conditions for a stable fuzzy controller can be obtained. With these conditions satisfied, a stable set of fuzzy rules can be designed easily.
K. C. Sio, C. K. Lee
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The matching coefficients PID controller
Proceedings of the 2011 American Control Conference, 2011The problem of designing a PID controller is posed in a setting where a selected reference system presents the design requirements. This leads to a simple problem of equating coefficients of like powers in polynomials originating in the reference system transfer function, the transfer function of the system to be controlled as well as the PID ...
Anna Soffía Hauksdóttir +1 more
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