Robust tuned PID controller with PSO based on two-point kinetic model and adaptive disturbance rejection for a PWR-type reactor

Mousakazemi, Seyed Mohammad Hossein; Ayoobian, Navid

doi:10.1016/j.pnucene.2018.11.003

Cited by 40 publications

(11 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Functions. PID controllers have been used in a wide range of industrial control processes for more than half a century [50][51][52][53]. However, when 10.…”

Section: Fuzzy Rules and Membershipmentioning

confidence: 99%

Multiparameter Control Strategy and Method for Cutting Arm of Roadheader

Wang

Yang

et al. 2021

Shock and Vibration

View full text Add to dashboard Cite

A multiparameter control strategy and method for the cutting arm of a roadheader is proposed through the operation analysis of roadheader. The method can address the problems of low intelligence and low cutting efficiency faced by the roadheader in the cutting process. The control strategy is divided into two parts: the cutting load identification part and the swing speed control part. The former part is designed using a backpropagation neural network that is optimized by an improved particle swarm optimization algorithm. The latter part is optimally designed using a fuzzy PID controller with improved simulated annealing particle swarm optimization. The simulation analysis in SIMULINK showed that the response time was reduced, proving the robustness of the method. In addition, experimental studies verified the good control effect of the method under different cutting states. The proposed method uses multiparameter to intelligently change the swing speed, providing a theoretical and practical basis for the realization of intelligent and unmanned cutting of roadheader.

show abstract

“…Functions. PID controllers have been used in a wide range of industrial control processes for more than half a century [50][51][52][53]. However, when 10.…”

Section: Fuzzy Rules and Membershipmentioning

confidence: 99%

Multiparameter Control Strategy and Method for Cutting Arm of Roadheader

Wang

Yang

et al. 2021

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…In another way, heuristic or meta-heuristic optimization methods can supply this gap. In the literature, there are many algorithms that work well in the PID control tuning, such as particle swarm optimization algorithm, [18][19][20] genetic algorithms (GA), 21,22 cuckoo search algorithm, 23 ant lion algorithm, 24 whale algorithm, 25 among others. Although these optimization strategies provide excellent results for many control problems, they require an accurate model to run offline and determine a set of gains to satisfy the performance indexes.…”

Section: Introductionmentioning

confidence: 99%

A hybrid robust model reference adaptive controller and proportional integral controller without reference model for partially modeled systems

Evald

Hollweg

Tambara

et al. 2023

Adaptive Control & Signal

View full text Add to dashboard Cite

Summary This work presents the discrete‐time stability analysis of a hybrid robust model reference adaptive controller and proportional‐integral controller (MRAC‐PI) controller using Lyapunov criterion. The control structure merges the classical PI controller with a robust model reference adaptive control, resulting in an adaptive and robust control strategy, where the gains unite both control techniques in a unique structure and it does not require the design of a reference model, being able to track straightforwardly the reference signal. The adaptive gains are updated continuously by a modified gradient algorithm regarding control action, regulation error, and the system output. The stability analysis provides the controller design constraints, while also demonstrate the tendency of regulation error to a residual set, and proves the boundedness of all closed‐loop signals. Furthermore, as the controller is robust to unmodeled dynamics, it is feasible to control partially modeled systems. Simulation results in a real‐world engineering application are presented to corroborate the robustness of this controller and show its fast response in the face of critical exogenous system perturbations.

show abstract

“…However, PID control learning and adaptive ability is relatively weak, in the case of external disturbances, the controller effect may be unstable. If combined with other related technologies to solve the problem of PID adaptability is weak, such as genetic algorithm 8 or particle swarm algorithm, 9 there may appear large overshoot and lead to fall into local optimum or other problems. In fuzzy control, Wang et al 10 used fuzzy control algorithm on four-wheel independent steering robot to achieve high-precision tracking control.…”

Section: Introductionmentioning

confidence: 99%

Research on AGV path tracking method based on global vision and reinforcement learning

Zhu,

Zheng,

Wang

et al. 2023

Science Progress

View full text Add to dashboard Cite

As the key to the movement of automated guided vehicle (AGV), the design of control algorithm directly affects whether AGV can follow the preset path. Aiming at the difficulty of AGV control, an AGV path tracking control method based on global vision and reinforcement learning is proposed. Firstly, the global view is obtained by the visual sensor, and the position information of obstacles and AGV is obtained by the target detection algorithm. Secondly, the path planning algorithm is used to obtain the driving path information which is used to establish a virtual environment. Thirdly, the position and pose of the physical AGV are introduced into the virtual environment by the visual sensor, and the virtual AGV is reset. Finally, the image obtained by virtual vehicle camera is input into the reinforcement learning model and the output action is sent to the physical AGV for execution. In the experimental part, this method can not only plan the driving path in different environments but also well control AGV to drive along the specified path, which proves that this method has strong robustness and feasibility.

show abstract

Robust tuned PID controller with PSO based on two-point kinetic model and adaptive disturbance rejection for a PWR-type reactor

Cited by 40 publications

References 23 publications

Multiparameter Control Strategy and Method for Cutting Arm of Roadheader

Multiparameter Control Strategy and Method for Cutting Arm of Roadheader

A hybrid robust model reference adaptive controller and proportional integral controller without reference model for partially modeled systems

Research on AGV path tracking method based on global vision and reinforcement learning

Contact Info

Product

Resources

About