scholarly journals An Adaptive Lyapunovs Internal PID Regulator in Automotive Applications

2021 ◽  
Vol 15 ◽  
pp. 155-160
Author(s):  
Paolo Mercorelli ◽  
Nils Werner
Keyword(s):  
Dynamic Model ◽  
Controller Design ◽  
Real Data ◽  
Hysteresis Effect ◽  
Pid Controllers ◽  
Switching Function ◽  
Automotive Applications

This paper considers an aggregate actuator consisting of a piezo and a hydraulic part. Moreover a cascade PI-PID controllers is taken into account for its control in automotive applications. In the presented work the Preisach dynamic model is taken into consideration a long with a cascade PI-PID controllers. In particular, the hysteresis effect is considered and a model with a switching function is used also for the controller design. Simulations with real data are able to be seen in this contribution.

PSO and GA tuned conventional and fractional order PID controllers for quadrotor control

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hasan Saribas ◽  
Sinem Kahvecioglu
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Controller Design ◽  
Optimization Problems ◽  
Parameter Tuning ◽  
Absolute Error ◽  
Cost Functions ◽  
Pid Controllers ◽  
Content Type ◽  
Quadrotor Control

Purpose This study aims to compare the performance of the conventional and fractional order proportional-integral-derivative (PID and FOPID) controllers tuned with a particle swarm optimization (PSO) and genetic algorithm (GA) for quadrotor control. Design/methodology/approach In this study, the gains of the controllers were tuned using PSO and GA, which are included in the heuristic optimization methods. The tuning processes of the controller’s gains were formulated as optimization problems. While generating the objective functions (cost functions), four different decision criteria were considered separately: integrated summation error (ISE), integrated absolute error, integrated time absolute error and integrated time summation error (ITSE). Findings According to the simulation results and comparison tables that were created, FOPID controllers tuned with PSO performed better performances than PID controllers. In addition, the ITSE criterion returned better results in control of all axes except for altitude control when compared to the other cost functions. In the control of altitude with the PID controller, the ISE criterion showed better performance. Originality/value While a conventional PID controller has three parameters (Kp, Ki, Kd) that need to be tuned, FOPID controllers have two additional parameters (µ). The inclusion of these two extra parameters means more flexibility in the controller design but much more complexity for parameter tuning. This study reveals the potential and effectiveness of PSO and GA in tuning the controller despite the increased number of parameters and complexity.

Transmission Shift Controller Design Based on a Dynamic Model of Transmission Response

1998 ◽  
Vol 31 (1) ◽  
pp. 235-240
Author(s):  
Quan Zheng ◽  
Krishnaswamy Srinivasan ◽  
Giorgio Rizzoni
Keyword(s):  
Dynamic Model ◽  
Controller Design

scholarly journals MODELO CUASI-DINÁMICO EN AIMSUN. COMPARATIVA CONTRA MODELOS ESTÁTICOS Y DINÁMICOS

2016 ◽  
Author(s):  
Jordi Casas
Keyword(s):  
Travel Time ◽  
Dynamic Model ◽  
Dynamic Models ◽  
Time Estimation ◽  
Real Data ◽  
Travel Time Estimation ◽  
Traffic Demand ◽  
Mesoscopic Models ◽  
Demand Models ◽  
Main Criticism

Traditionally traffic demand models require as input the impedance of a demand with respect to the network supply; mode choice or departure choice for example, take into account the travel time for each option. Bearing this in mind, the main criticism of using static models to evaluate travel times is that the estimated travel time could diverge considerably because these models have no capacity constraints. On the other hand, dynamic models, such as mesoscopic models, have a level of detail that is sometimes unnecessarily high for the final requirements. The Quasi-dynamic model developed in Aimsun could contribute to a more realistic estimate of the travel time while avoiding the need for a full dynamic model. This paper presents the integration of a Quasi-dynamic model inside the integrated framework of Aimsun and evaluates a comparison of all models in terms of travel time estimation. The evaluation is performed using real networks validated with real data sets.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4127

Nonlinear Dynamic Model of a Fluidized-Bed Steam Generation System

1980 ◽  
Vol 102 (1) ◽  
pp. 202-208 ◽  
Author(s):  
A. Ray ◽  
D. A. Berkowitz ◽  
V. H. Sumaria
Keyword(s):  
Fluidized Bed ◽  
Dynamic Model ◽  
Controller Design ◽  
Digital Simulation ◽  
Steam Generation ◽  
Generation System ◽  
Nonlinear Dynamic Model ◽  
Continuous Time Model ◽  
Design Data ◽  
Time Model

A dynamic model of an atmospheric pressure fluidized-bed steam generation system is presented which allows digital simulation and analytical controller design. The nonlinear, time-invariant, deterministic, continuous-time model is derived in state-space form from conservation relations, empirical correlations and system design data. The model has been verified for steady-state and transient performance with measured data from experimental test runs. Transient responses of several process variables, following independent step disturbances in coal feed rate and air flow, are illustrated.

Controller Design for Convoluted Air Spring System Controlled Suspension

2014 ◽  
Vol 592-594 ◽  
pp. 1025-1029
Author(s):  
Palanisamy Sathishkumar ◽  
Jeyaraj Jancirani ◽  
John Dennie ◽  
B. Arun
Keyword(s):  
Dynamic Behavior ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Pid Controllers ◽  
Proportional Integral Derivative ◽  
Air Spring ◽  
Passive Suspension ◽  
Road Profile ◽  
Spring Suspension ◽  
Spring System

This paper focuses on the analysis and controlling automotive vibration using semi-active air spring suspension system by implementing fuzzy and Proportional-Integral derivative (PID) controllers for light vehicles. Due to low transmissibility coefficients and their ability to varying the force generated depends on load capacities the air spring is modelled as an actuator. The dynamic behavior of semi active actuator controlled is contrasted with passive suspension under single bump, double bump and random road profile. The performance of air spring controlled suspension has been investigated. Results show that the fuzzy controller gives optimized results.

Dynamic Model of a Matrix Converter for Controller Design and System Studies

2006 ◽  
Vol 21 (2) ◽  
pp. 744-754 ◽  
Author(s):  
H. Nikkhajoei ◽  
A. Tabesh ◽  
R. Iravani
Keyword(s):  
Dynamic Model ◽  
Controller Design ◽  
Matrix Converter

scholarly journals A Hybrid Control with PID–Improved Sliding Mode for Flat-Top of Missile Electromechanical Actuator Systems

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4449 ◽  
Author(s):  
Man Zhou ◽  
Dapeng Mao ◽  
Mingyue Zhang ◽  
Lihong Guo ◽  
Mingde Gong
Keyword(s):  
Sliding Mode Control ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Pid Controllers ◽  
Limit Cycle Oscillation ◽  
Switching Function ◽  
Electromechanical Actuator ◽  
Mode Control ◽  
Sliding Mode Controllers ◽  
Cycle Oscillation

Electromechanical actuator (EMA) systems are widely employed in missiles. Due to the influence of the nonlinearities, there is a flat-top of about 64 ms when tracking the small-angle sinusoidal signals, which significantly reduces the performance of the EMA system and even causes the missile trajectory to oscillate. Aiming to solve these problems, this paper presents a hybrid control for flat-top situations. In contrast to the traditional PID or sliding mode controllers that missiles usually use, this paper utilizes improved sliding mode control based on a novel reaching law to eliminate the flat-top during the steering of the input signal, and utilizes the PID control to replace discontinuous control and improve the performance of EMA system. In addition, boundary layer and switching function are employed to solve the high-frequency chattering problem caused by traditional sliding mode control. Experiments indicate that the hybrid control can evidently reduce the flat-top time from 64 ms to 12 ms and eliminate the trajectory limit cycle oscillation. Compared with PID controllers, the proposed controller provides better performance—less chattering, less flat-top, higher precision, and no oscillation.

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