E. M. Petriu

35428404800

Publications - 4

Hybrid Particle Filter-Particle Swarm Optimization Algorithm and Application to Fuzzy Controlled Servo Systems

R. C. Pozna E. M. Petriu Radu Emil Precup Ernö Horváth

Publication Name: IEEE Transactions on Fuzzy Systems

Publication Date: 2022-10-01

Volume: 30

Issue: 10

Page Range: 4286-4297

Description:

This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF-PSO algorithm consists of two steps: the first generates randomly the particle population;and the second zooms the search domain. An application of this algorithm to the optimal tuning of proportional-integral-fuzzy controllers for the position control of a family of integral-type servo systems is then presented as a second contribution. The reduction in PF-PSO algorithm's cost function allows for reduced energy consumption of the fuzzy control system. A comparison with other metaheuristic algorithms on canonical test functions and experimental results are presented at the end of this article.

Open Access: Yes

DOI: 10.1109/TFUZZ.2022.3146986

Model-Free Control of Finger Dynamics in Prosthetic Hand Myoelectric-based Control Systems

R. C. Pozna E. M. Petriu Radu Emil Precup Teodor Adrian TEBAN Adriana ALBU Raul Cristian ROMAN

Publication Name: Studies in Informatics and Control

Publication Date: 2020-01-01

Volume: 29

Issue: 4

Page Range: 399-410

Description:

This paper proposes an approach to the tuning of model-free controllers for the midcarpal joint angles, which are important finger angles that ensure the desired finger dynamics in prosthetic hand myoelectric-based control systems. The process in these control systems is characterized by fuzzy models that operate with myoelectric signals obtained from eight myoelectric sensors and past inputs and/or outputs, where the controlled outputs are five finger angles. Since the fuzzy models exhibit very good performance as shown in authors’ recent papers that produced evolving fuzzy models, they are used to simulate the process behaviour. The Multi Input-Multi Output (MIMO) control system structure consists of five separate Single Input-Single Output control loops with the most simple model-free controllers represented by intelligent Proportional (iP) controllers, separately designed and tuned for each finger. Digital simulation results are included to suggestively illustrate the very good performance of the control systems with iP controllers. The MIMO control system performance is compared with that of the same system but with Proportional-Integral controllers, which are optimally tuned in a model-based manner by a metaheuristic Grey Wolf Optimizer (GWO) algorithm. The fair comparison is ensured by the optimal tuning of the free parameters of iP controllers in a model-based manner using GWO.

Open Access: Yes

DOI: 10.24846/V29I4Y202002

Stability analysis and design of a class of MIMO fuzzy control systems

R. C. Pozna Marius L. Tomescu E. M. Petriu Radu Emil Precup Stefan Preitl János Fodor

Publication Name: Journal of Intelligent and Fuzzy Systems

Publication Date: 2013-07-18

Volume: 25

Issue: 1

Page Range: 145-155

Description:

This paper presents a new stability analysis method dedicated to a class of fuzzy control systems (FCSs) controlling multi input-multi output (MIMO) nonlinear processes by means of Takagi-Sugeno-Kang fuzzy logic controllers (FLCs). The stability analysis of the FCSs is carried out using LaSalle's global invariant set theorem by the separate stability analysis of each fuzzy rule in MIMO fuzzy control systems. Therefore the complexity of the stability analysis is reduced and the adding of new fuzzy rules can be conducted easily; this modification of FLC structure requires the fulfillment of only one of the conditions of the stability analysis theorem suggested in this paper. Another advantage of the stability analysis approach proposed in this paper is that the derivative of the Lyapunov function candidate must be only negative semi-definite in comparison with Lyapunov's stability theorem where it must be negative definite. The conservativeness of stability conditions is thus reduced, and this enables the convenient design of FLCs. The applicability and efficiency of the theoretical results are illustrated by numerical simulations for a representative MIMO process which deals with the level control in a three spherical tank system. © 2013-IOS Press and the authors. All rights reserved.

Open Access: Yes

DOI: 10.3233/IFS-2012-0621

Modeling of a vehicle with continuously variable transmission

R. C. Pozna Claudia Adina Dragos C. S. Nes E. M. Petriu D. Pirlea Radu Emil Precup Stefan Preitl

Publication Name: 19th International Workshop on Robotics in Alpe Adria Danube Region Raad 2010 Proceedings

Publication Date: 2010-09-01

Volume: Unknown

Issue: Unknown

Page Range: 441-446

Description:

The paper presents aspects concerning the modeling and driving scenarios of a class of vehicular power train systems. The modeling includes an analysis of the system components which include the spark-ignition internal combustion engine, the torque converter, the metal V-belt type continuously variable transmission and the wheels. Four driving scenarios are illustrated by digital simulation results: acceleration, overtaking maneuver, ramp encounter and engine brake. © 2010 IEEE.

Open Access: Yes

DOI: 10.1109/RAAD.2010.5524546