Results 261 to 270 of about 37,119 (308)

On a Modification of the PID Controller

Dynamics and Control, 1997
The 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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PID controllers’ fragility

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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Predictive PID Control

2005
This chapter looks at predictive PID ...
Johnson, M.A., Moradi, M., Katebi, M.R.
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Spiking Neural PID Controllers

2011
A 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 0002, Sergio Davies, David R. Lester   +2 more
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A Reconfigurable PID Controller

2018
We 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, Kyprianos Papadimitriou, Giorgio C. Buttazzo, Kostas Kalaitzakis   +3 more
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Comparison of PID control and PPI control

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004
Predictive 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, 2013
The 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, Intan Z. Mat Darus   +1 more
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Stability of fuzzy PID controllers

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1998
In 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, 2011
The 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, Sven Þ. Sigurðsson   +1 more
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Fuzzy precompensated PID controllers

IEEE Transactions on Control Systems Technology, 1994
While proportional integral derivative (PID) controllers are widely used in industrial applications, they exhibit poor performance when applied to systems containing unknown nonlinearities, such as deadzones, saturation, and hysteresis. In this paper, the authors propose a fuzzy logic-based precompensation approach for PID controllers.
Jong-Hwan Kim, Kwang-Choon Kim, Edwin K. P. Chong   +2 more
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