Online Adaptive Robust Tuning of PID Parameters
نویسنده
چکیده
In this paper, an online adaptation scheme for tuning of PID parameters is presented. This scheme is based upon our previous works on using a data-driven method to obtain a sufficient condition for robust stability and integrating robustness into the Unfalsified Control framework. Here, a modified bumpless transfer approach to facilitate the adaptation of the PID controller parameters is presented. The proposed scheme is demonstrated using a PID benchmark problem.
منابع مشابه
Reinforcement Learning Based PID Control of Wind Energy Conversion Systems
In this paper an adaptive PID controller for Wind Energy Conversion Systems (WECS) has been developed. Theadaptation technique applied to this controller is based on Reinforcement Learning (RL) theory. Nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...
متن کاملAn Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources
This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...
متن کاملAdaptive Tuning of Model Predictive Control Parameters based on Analytical Results
In dealing with model predictive controllers (MPC), controller tuning is a key design step. Various tuning methods are proposed in the literature which can be categorized as heuristic, numerical and analytical methods. Among the available tuning methods, analytical approaches are more interesting and useful. This paper is based on a proposed analytical MPC tuning approach for plants can be appr...
متن کاملA New Approach of the Online Tuning Gain Scheduling Nonlinear PID Controller Using Neural Network
This chapter presents the design, development and implementation of a novel proposed online-tuning Gain Scheduling Dynamic Neural PID (DNN-PID) Controller using neural network suitable for real-time manipulator control applications. The unique feature of the novel DNN-PID controller is that it has highly simple and dynamic self-organizing structure, fast online-tuning speed, good generalization...
متن کاملPerformance Comparisons between PID and Adaptive PID Controllers for Travel Angle Control of a Bench-Top Helicopter
This paper provides a comparative study on the performances of standard PID and adaptive PID controllers tested on travel angle of a 3-Degree-of-Freedom (3-DOF) Quanser bench-top helicopter. Quanser, a well-known manufacturer of educational bench-top helicopter has developed Proportional Integration Derivative (PID) controller with Linear Quadratic Regulator (LQR) for all travel, pitch and yaw ...
متن کامل