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  2. Proportional–integral–derivative controller - Wikipedia

    en.wikipedia.org/wiki/Proportional–integral...

    A block diagram of a PID controller in a feedback loop. r(t) is the desired process variable (PV) or setpoint (SP), and y(t) is the measured PV. The distinguishing feature of the PID controller is the ability to use the three control terms of proportional, integral and derivative influence on the controller output to apply accurate and optimal ...

  3. Integral windup - Wikipedia

    en.wikipedia.org/wiki/Integral_windup

    Within modern distributed control systems and programmable logic controllers, it is much easier to prevent integral windup by either limiting the controller output, limiting the integral to produce feasible output, [5] or by using external reset feedback, which is a means of feeding back the selected output to the integral circuit of all ...

  4. Linear-quadratic regulator rapidly exploring random tree

    en.wikipedia.org/wiki/Linear-quadratic_regulator...

    A solver, for example PID controllers and model predictive control, are able to bring the simulated system into a goal state. From an abstract point of view, the problem of controlling a complex physical system is a kinodynamic motion planning problem. [2]

  5. Ziegler–Nichols method - Wikipedia

    en.wikipedia.org/wiki/Ziegler–Nichols_method

    The Ziegler–Nichols tuning method is a heuristic method of tuning a PID controller.It was developed by John G. Ziegler and Nathaniel B. Nichols.It is performed by setting the I (integral) and D (derivative) gains to zero.

  6. Machine learning control - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_control

    One example is the genetic algorithm for optimizing coefficients of a PID controller [2] or discrete-time optimal control. [3] Control design as regression problem of the first kind: MLC approximates a general nonlinear mapping from sensor signals to actuation commands, if the sensor signals and the optimal actuation command are known for every ...

  7. Control loop - Wikipedia

    en.wikipedia.org/wiki/Control_loop

    In this example, a flow control loop is shown, but can be level, temperature, or any one of many process parameters which need to be controlled. The control function shown is an "intermediate type" such as a PID controller which means it can generate a full range of output signals anywhere between 0-100%, rather than just an on/off signal. [1]

  8. Open-loop controller - Wikipedia

    en.wikipedia.org/wiki/Open-loop_controller

    The PID loop in this situation uses the feedback information to change the combined output to reduce the remaining difference between the process setpoint and the feedback value. Working together, the combined open-loop feed-forward controller and closed-loop PID controller can provide a more responsive control system in some situations.

  9. Inverted pendulum - Wikipedia

    en.wikipedia.org/wiki/Inverted_pendulum

    The inverted pendulum is a classic problem in dynamics and control theory and is widely used as a benchmark for testing control algorithms (PID controllers, state-space representation, neural networks, fuzzy control, genetic algorithms, etc.). Variations on this problem include multiple links, allowing the motion of the cart to be commanded ...