The Impact of the FLC Controller’s Settings on the Precision of the Positioning of a Payload Transferred by a Mobile Crane

Kłosiński, J.; Janusz, J.; Nycz, Rafał

doi:10.2478/ama-2014-0032

Cited by 5 publications

(6 citation statements)

References 21 publications

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“…The inference method used is that of Mamdani (max‐min). While defuzzification is achieved by the center of area (COA) method …”

Section: Application To Two‐induction Motors Controlmentioning

confidence: 99%

“…The choice of the model for the speed loop focused on the transfer function of two motors, which links the mechanical speed to the electromagnetic torque (Equation 34). For the current loop, the model is equivalent to the transfer function (35) in order to define the parameters of the current controllers. 32 The following model of the MSCS is obatined as follows:…”

Section: Application To Two-induction Motors Controlmentioning

confidence: 99%

“…While defuzzification is achieved by the center of area (COA) method. [33][34][35] The membership functions of input variables E and ΔE, respectively, and output variable, which are with conventional triangular shapes. Each membership is divided into seven and three fuzzy sets for speed and stator currents, respectively ( Figure 6).…”

Section: Correction Controller (Used In the Speed Loop)mentioning

confidence: 99%

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Fuzzy adaptive control of a multimachine system with single inverter supply

Bessaad

Taleb

Chabni

et al. 2019

Int Trans Electr Energ Syst

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Summary Fuzzy controllers are a powerful tool for controlling complex processes. However, its robustness capacity remains moderately limited because it loses its property for large ranges of parametric variations. This paper presents a new form of adaptive control used as a remedy for this issue, applied to the speed control of a multiphase multimachine motor drives system. The multimachines under investigation are a six‐phase and a three‐phase induction motors whose stator windings are connected in series and supplied by a single six‐leg converter and controlled using vector control approach. Fuzzy controllers are used to implement this type of control to increase its robustness. This leads to a fuzzy behavior model control (BMC). The results of the simulation confirm the validity and effectiveness of the control strategy proposed in both terms of performance and robustness (rotor inertia variations J1 = 5 J1nominal) of the provision of such an adaptive control for electrical drives with the two independently controlled machines.

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“…The inference method used is that of Mamdani (max‐min). While defuzzification is achieved by the center of area (COA) method …”

Section: Application To Two‐induction Motors Controlmentioning

confidence: 99%

Section: Application To Two-induction Motors Controlmentioning

confidence: 99%

Section: Correction Controller (Used In the Speed Loop)mentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy adaptive control of a multimachine system with single inverter supply

Bessaad

Taleb

Chabni

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Control design of autonomous vehicle is still of interest to many researchers, especially in dealing with implementation (Kłosiński et al, 2015; Virgalaivan et al, 2018; Widyotriatmo and Hong, 2015; Baranowski and Siwek, 2018). One of the applications is the stabilization control, which is the design of control algorithm to drive an autonomous vehicle from an initial configuration to a final configuration.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Stabilization Controls of a Forklift Vehicle

Widyotriatmo

2019

Acta Mechanica Et Automatica

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This paper presents the control designs for an autonomous forklift vehicle that drive the vehicle from an initial configuration to a final one. Three stabilization controls, which are chained-form time-varying control, sigma-transformed discontinuous control, and navigation-variables-based discontinuous control, for a forklift vehicle are compared by simulations. The sigma-transformed and navigation-variables-based discontinuous controls provide fast convergence motions from an initial to a final configuration, while the time-varying-based control provides oscillatory motion and slow convergence. The sigma-transformed discontinuous control has a set of discontinuous points in which, from a practical point of view, the control signals can blow up if a vehicle enters the set. The navigation-variables-based control, which also has a discontinuous point at the final configuration, does not produce blown up control signals since its boundedness nature. Discussion on the implementation of control algorithm is elucidated for the three stabilization controls for the forklift vehicle.

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“…Moreover various contact and contactless techniques for sensing the sway-angle of a suspended payload are proposed for feedbackbased control approaches [19][20][21][22][23][24]. Furthermore, the soft computing techniques are widely employed to the considered problem, especially based on the fuzzy logic, such as the linguistic fuzzy rule-based strategies [25], or TS and P1-TS [26,27] fuzzy controllers optimized using interval analysis of characteristic polynomial coefficients of closed-loop control system [28,29], or through employing evolutionary algorithm [30,31].…”

Section: Introductionmentioning

confidence: 99%

Generalized Predictive Control of an overhead crane

Smoczek

Szpytko

2015

2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR)

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The adaptive control of an overhead crane is developed based on Generalized Predictive Control (GPC) technique. The one-step ahead predictive control scheme is proposed for reducing the residual and transient oscillations of a payload suspended on a rope and transferred by a crane, with respect to the variation of rope length and mass of a payload. The recursive least square (RLS) algorithm is applied to real-time estimate parameters of discrete-time model of a crane dynamic system. Feasibility and applicability of the proposed control technique were confirmed during experiments carried out on the laboratory stand. The results of experiments are presented and compared with performances of the linear controllers-based scheme designed using pole placement method. Keywords-overhead crane, generalized predictive control, recursive least squareI.

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The Impact of the FLC Controller’s Settings on the Precision of the Positioning of a Payload Transferred by a Mobile Crane

Cited by 5 publications

References 21 publications

Fuzzy adaptive control of a multimachine system with single inverter supply

Fuzzy adaptive control of a multimachine system with single inverter supply

Comparative Study of Stabilization Controls of a Forklift Vehicle

Generalized Predictive Control of an overhead crane

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