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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. 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.

  4. Closed-loop controller - Wikipedia

    en.wikipedia.org/wiki/Closed-loop_controller

    The PID algorithm in the controller restores the actual speed to the desired speed in an optimum way, with minimal delay or overshoot, by controlling the power output of the vehicle's engine. Control systems that include some sensing of the results they are trying to achieve are making use of feedback and can adapt to varying circumstances to ...

  5. Smith predictor - Wikipedia

    en.wikipedia.org/wiki/Smith_predictor

    The Smith predictor (invented by O. J. M. Smith in 1957) is a type of predictive controller designed to control systems with a significant feedback time delay. The idea can be illustrated as follows. The idea can be illustrated as follows.

  6. Control theory - Wikipedia

    en.wikipedia.org/wiki/Control_theory

    The PID algorithm in the controller restores the actual speed to the desired speed in an optimum way, with minimal delay or overshoot, by controlling the power output of the vehicle's engine. Control systems that include some sensing of the results they are trying to achieve are making use of feedback and can adapt to varying circumstances to ...

  7. Model predictive control - Wikipedia

    en.wikipedia.org/wiki/Model_predictive_control

    The additional complexity of the MPC control algorithm is not generally needed to provide adequate control of simple systems, which are often controlled well by generic PID controllers. Common dynamic characteristics that are difficult for PID controllers include large time delays and high-order dynamics.

  8. Machine learning control - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_control

    Control parameter identification: MLC translates to a parameter identification [1] if the structure of the control law is given but the parameters are unknown. One example is the genetic algorithm for optimizing coefficients of a PID controller [2] or discrete-time optimal control. [3]

  9. PID algorithm - Wikipedia

    en.wikipedia.org/?title=PID_algorithm&redirect=no

    This page was last edited on 13 August 2023, at 10:52 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...