On the predictive functional control of an elastic industrial robot

Kuntze, H.-B.; Jacubasch, A.; Richalet, J.; Arber, C.

doi:10.1109/cdc.1986.267314

Cited by 53 publications

(32 citation statements)

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“…References [19,20] have ignored the coriolis and centrifugal forces, coming up with a linear model and proposing some controllers for that model, but the responses are not perfect for high velocities. In [10,21] controllability for FJRs was considered.…”

Section: Primary Researchmentioning

confidence: 99%

A Survey on the Control of Flexible Joint Robots

Ozgoli

Taghirad²

2006

Asian Journal of Control

141

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Section: Primary Researchmentioning

confidence: 99%

A Survey on the Control of Flexible Joint Robots

Ozgoli

Taghirad²

2006

Asian Journal of Control

141

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“…Predictive functional control (PFC) was a novel model predictive control strategy proposed by Richalet and Kuntze at the end of 1980's [2,3]. At the same time it was applied to the industrial robots successfully and now it has been applied into the broad industrial processes [4,5].…”

Section: Introductionmentioning

confidence: 99%

Predictive functional control based on fuzzy T-S model for HVAC systems temperature control

Lü

Jia

Kong

et al. 2007

J. Control Theory Appl.

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In heating, ventilating and air-conditioning (HVAC) systems, there exist severe nonlinearity, time-varying nature, disturbances and uncertainties. A new predictive functional control based on Takagi-Sugeno (T-S) fuzzy model was proposed to control HVAC systems. The T-S fuzzy model of stabilized controlled process was obtained using the least squares method, then on the basis of global linear predictive model from T-S fuzzy model, the process was controlled by the predictive functional controller. Especially the feedback regulation part was developed to compensate uncertainties of fuzzy predictive model. Finally simulation test results in HVAC systems control applications showed that the proposed fuzzy model predictive functional control improves tracking effect and robustness. Compared with the conventional PID controller, this control strategy has the advantages of less overshoot and shorter setting time, etc.

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“…(Introduction) ( Srinivasagupa [3] Luck Ray [4] (Predictive Functional Control, PFC) [5,6] Richalet Kuntze …”

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confidence: 99%

Application of PFC algorithm in networked control system with long time delay

Wang

Han

et al. 2008

2008 27th Chinese Control Conference

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The random time delays induced by the network transmission in networked control system (NCS) degrade control performance and can even destabilize the control system. With regards to the long time delay, a distributed model is constructed in this paper. The advanced predictive functional control (PFC) algorithm is introduced in the controller nodes. The network-induced long time delays are specifically considered for predicting the future plant outputs in PFC algorithm. A distributed NCS simulation plant is constructed based on TrueTime toolbox. It is proved that the advanced PFC algorithm can give better control performance than the normal PFC algorithm.

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On the predictive functional control of an elastic industrial robot

Cited by 53 publications

References 0 publications

A Survey on the Control of Flexible Joint Robots

A Survey on the Control of Flexible Joint Robots

Predictive functional control based on fuzzy T-S model for HVAC systems temperature control

Application of PFC algorithm in networked control system with long time delay

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