{"title":"Controller design for highly interacting multivariable systems","authors":"Suresh Aldhandi, K. Detroja","doi":"10.1109/ICC56513.2022.10093414","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093414","url":null,"abstract":"Controller design for multivariable systems is a challenging task due to interactions. For highly interacting systems, controller design is even more challenging. In this paper controller design for system having significant interactions, as quantified by relative gain value larger than 2, is considered. It is an extremely challenging task to obtain PI controller gains for higher dimensional multivariable processes due to the existence of high interaction effects (RG > 2) among the process input-output (i-o) variables. The aim is to propose scalable methodology that can be applied to higher dimensional system without much computational effort. For multivariable systems, detuning based controller design is very popular due to simplicity. Contribution in this manuscript is a new controller design method, i.e. relative gain (RG) detuning-based multi-loop internal model control (IMC) for highly interacting and higher dimensional multivariable processes. The PI controller parameters are first evaluated for the process of each main loop (diagonal elements) independently by employing IMC-PI tuning rules. In highly interacting systems, the off-diagonal (interactive elements) transfer functions have higher time delays than the diagonal transfer functions. When each loop RG value is used as the detuning factor, superior controller performance is obtained. The proposed control algorithm is applicable for highly interacting and higher dimensional multivariable processes. Various simulation studies for a wide range of $2times 2$, 3 $times 3$, and 4 $times 4$ multivariable processes were carried out to demonstrate the effectiveness of the proposed method.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121262708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tracking Consensus for Linear Multi-Agent Systems with Exponential Convergence Rate","authors":"Souradip De, S. R. Sahoo, P. Wahi","doi":"10.1109/ICC56513.2022.10093613","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093613","url":null,"abstract":"This paper discusses the leader-following consensus problem of a group of homogeneous linear multi-agent systems. The control input of the leader is possibly nonzero and known to all the agents in the network. To ensure tracking, a dynamic control law is developed based on the relative information of actual states and internal controller states of neighbouring agents. Under the proposed framework, the tracking of multi-agent systems having no exponentially unstable mode is first achieved and then a generalized control law is postulated when systems posses exponentially stable or unstable modes. By the proposed dynamic control law, no information of the Laplacian matrix is needed when systems do not posses any exponentially unstable mode. However, this sort of information is needed to design the coupling strength in the presence of unstable modes in agent dynamics. The rate at which the error between the states of the agents and the leader trajectory decay has been resolved. Illustrative examples are provided to demonstrate the efficacy of the dynamic control.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115429751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Milind Fernandes, Arijit Sen, S. R. Sahoo, Mangal Kothari
{"title":"Archimedes Spiral-based Coverage Path for AUVs with Range-only Beacon Localization","authors":"Milind Fernandes, Arijit Sen, S. R. Sahoo, Mangal Kothari","doi":"10.1109/ICC56513.2022.10093643","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093643","url":null,"abstract":"The lawnmower is a widely used path for autonomous vehicles in coverage planning missions. However, when used in conjunction with single beacon-based navigation, the straight line excursions in the lawnmower path can result in higher uncertainty in the vehicle's position estimate. In this work, we investigate the Archimedes spiral as an alternative coverage path in single beacon navigation. With a unicycle model for the vehicle, we show that the proposed path preserves the observability of the system using tools from Lie algebra. We further compare the proposed path against the lawnmower in simulation using an extended Kalman filter for state estimation and show that the proposed solution has better error performance.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116003912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Output consensus in a heterogeneous leader-follower multi-agent system with input and communication delays","authors":"V. K. Singh, Amandeep Batra, V. Natarajan","doi":"10.1109/ICC56513.2022.10093302","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093302","url":null,"abstract":"We consider the output consensus problem for a heterogeneous multi-agent system with one leader agent and $N$ follower agents. The dynamics of each follower agent is governed by a single-input single-output (SISO) stable linear system. The dynamics of the leader agent is governed by a marginally stable SISO linear system, input to which is zero at all times. Each follower agent has input and output delays which can be nonuniform across the multi-agent system. For each follower agent, we construct a pre-compensator and every follower agent has access to the output of the pre-compensator associated with its neighboring agents. A subset of the follower agents can also access the output of the leader agent. The communication delay, which is the delay in the exchange of outputs, is uniform across all the follower agents. All the delays present in the multi-agent system can be arbitrarily large but are known. For each pre-compensator, under the assumed information exchange, we design a feedback controller that drives the state of all the pre-compensators to a consensus trajectory. The synchronized outputs of the pre-compensators is then used to ensure output consensus among the follower agents. The controller design is robust to small perturbations in the communication delays. We demonstrate the efficacy of our design technique using a numerical example.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114833268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new fast-terminal sliding mode control for synchronisation between two new nonidentical chaotic systems and its comparison","authors":"Shilalipi Sahoo, Rahash Nathasarma, B. K. Roy","doi":"10.1109/ICC56513.2022.10093375","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093375","url":null,"abstract":"Two new chaotic systems are developed, one of these is a two-wing chaotic system, and another one is a multiwing chaotic system. The synchronisation between these two nonidentical chaotic systems is achieved using a new fast-terminal sliding mode controller. With the help of the new fast-terminal sliding mode controller, the states of the slave system are controlled to follow the states of the master system. The convergence of error dynamics is also checked in the presence of disturbances. Further, the results of the new fast-terminal SMC are compared with two other variants of sliding mode controllers and the better performance of the proposed fast-terminal sliding mode controller, in terms of convergence time, is observed.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130908457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information Theoretic Approach to Reliability Based Sensor Placement for Fault Detection and Diagnosis","authors":"Om Prakash, M. Bhushan","doi":"10.1109/ICC56513.2022.10093628","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093628","url":null,"abstract":"In sensor placement literature, reliability has been considered to be a point value, corresponding to a specific time. Thus, sensor placement obtained by maximizing reliability changes if time were changed. We propose a cumulative residual Kullback-Leibler divergence based sensor placement formulation for fault detection and diagnosis, which explicitly incorporates time. The formulation also provides an opportunity to the end-user to specify the target performance for sensor placement. Further, we use a greedy algorithm to solve proposed sensor placement design problem. We illustrate the applicability of the approach using a benchmark case study.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129615396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Model-free Optimization: The Exploration-Exploitation Paradigm","authors":"Mariya Raphel, Revati Gunjal, S. Wagh, N. Singh","doi":"10.1109/ICC56513.2022.10093277","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093277","url":null,"abstract":"The trade-off between exploration and exploitation has been crucial in the field of optimization where the cost function is expensive and takes time to converge. The use of Exploration-Exploitation concept in the acquisition function helps to find the optimal values of the objective function completely model-free. Steady-state input-output map of a dynamical system gives an input-output relation that can be utilised to replace the optimizer of the objective function with the control signal. Hence, solving an expensive optimization problem of a control application gradient-free and without injecting perturbation signal. Initial sample size, sampling technique, and the type of acquisition function influences the rate of convergence of the objective function to its optimum. As the sample size increases the function value converges to its optimum faster with less computation time. The use of Expected Improvement as an acquisition function converges the function value closer to its optimum value and gives better-approximated results as compared to other acquisition functions. Model-free optimization using exploration and exploitation can be used widely in data-driven based control application to compute black-box functions solely based on input and output measurements making it computationally less burden.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121631255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Akriti Ghosh, Krishanu Nath, M. K. Bera, S. Laskar
{"title":"Design of Adaptive Gravity Compensation Controller for Upper Limb Exosuit: The Concurrent Learning-based Approach","authors":"Akriti Ghosh, Krishanu Nath, M. K. Bera, S. Laskar","doi":"10.1109/ICC56513.2022.10093439","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093439","url":null,"abstract":"This paper deals with the design of an adaptive gravity compensator (AGC) for an upper limb soft exosuit. An exosuit is an assistive device for a wearer that supports locomotion to reduce human effort. The human upper limb with the exosuit can be modelled as an Euler-Lagrange system actuated by the human torque and assistive torque generated using the DC motor. The gravity compensator design aims to develop an adaptive control law that drives the assistive device's actuation, enabling the wearer to lift additional payloads with reduced effort. The adaptive gravity compensator is based on an estimation algorithm which estimates the unknown parameters. Often these algorithms require the signal to be persistently exciting to ensure exactness in estimation. To relax the per-sistence of excitation conditions, a concurrent learning-based estimation algorithm is introduced with the aim of exponential convergence of the parameter estimation error. It is shown that the concurrent learning-based adaptive gravity compensator can improve the response by reducing human effort.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130436025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Roy, P. Ghorai, A. Eskandarian, Venkata Ramana Kasi
{"title":"Design of a new nonlinear predictive PI controller for cascaded control system applications","authors":"R. Roy, P. Ghorai, A. Eskandarian, Venkata Ramana Kasi","doi":"10.1109/ICC56513.2022.10093503","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093503","url":null,"abstract":"An alternative to traditional feedback control for two subsystems interacting sequentially, cascade control can boost a control system's performance, especially in the face of disturbances. However, the cascade control technique may not provide an adequate performance to track a set point if the outer loop's time delay is significant. A new predictive proportional-integral (PPI) controller is proposed in this paper to counteract and anticipate the time delay of the outer primary process. By combining the best cascade control and predictive control capabilities, the closed-loop performance can significantly be enhanced by superior disturbance rejection. To achieve higher performance than is possible with linear control, in which the gain of the master-slave controller is fixed regardless of the error signal's magnitude, we investigate the use of nonlinear predictive cascade control. Two examples are provided to show how the suggested controller can be applied and how its structure is an improvement over the status quo in terms of controlling delayed systems. Measurement noise is less of an issue with the new structure compared to the old cascade control scheme. The performance, robustness and effectiveness of the suggested controller for set-point tracking under the influence of a load disturbance have been validated in this research.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132323870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anand Gokhale, Srighakollapu M Valli, R. Pasumarthy
{"title":"Measures of Modal Controllability for Network Dynamical Systems","authors":"Anand Gokhale, Srighakollapu M Valli, R. Pasumarthy","doi":"10.1109/ICC56513.2022.10093332","DOIUrl":"https://doi.org/10.1109/ICC56513.2022.10093332","url":null,"abstract":"The quantification of controllability has gained renewed interest in the context of large, complex network dynamical systems. In some application areas such as com-putational neuroscience, there is a large interest in modal controllability, which describes the ability of an input to control the modes of a system. In case of a linear system, the modes of the system are given by the left eigenvectors associated with the system matrix. In this work, we identify mode specific and gross metrics for modal controllability for both discrete and continuous systems. Our metrics are based on energy requirements to move along a given mode and find applications in problems involving selection of driver nodes for minimizing control effort along particular modes of the network. We illustrate the use of these metrics on real world networks.","PeriodicalId":101654,"journal":{"name":"2022 Eighth Indian Control Conference (ICC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115733216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}